Advanced statistical analysis and reporting. High-impact visuals. In one package that includes Base SAS, SAS/STAT and SAS/GRAPH.
Intuitive, fourth-generation programming language
Highly flexible, extensible 4GL with easy-to-learn syntax includes hundreds of language elements and functions that support programming – from data extraction, formatting and cleansing to data analysis, reporting and information storage.
Advanced statistical analysis with powerful SAS Analytics
Provides a wide range of statistical methods – including geolocation analysis with built-in mapping capabilities – that are updated frequently to reflect the latest methodologies.
Prebuilt library of ready-to-use procedures in a web-based environment
Streamlines programming, analysis and reporting – and improves programmer productivity and efficiency – by delivering significant functionality executed with a few simple commands.
Data visualization, presentation and delivery
Enables visual presentation of ideas and findings using a wide variety of business maps, charts, plots and 3-D relationship graphs.
Improve productivity with all the tools and methods needed for desktop data analysis – in one package.
Get analysis, reporting and easy-to-understand visualizations from one vendor.
Why piece together niche software packages from different vendors? A consolidated portfolio that includes three of our most popular products – Base SAS, SAS/STAT and SAS/GRAPH – reduces the cost of licensing, maintenance, training and support, while ensuring that consistent information is available across your enterprise.
Use innovative statistical techniques.
SAS statistical procedures are constantly being updated to reflect the latest advances in statistical methodology. And technical support is provided by experienced master's- and doctorate-level statisticians who deliver a level of service and knowledge not often found with other software vendors. SAS has more than four decades of experience developing statistical analysis software that organizations around the world rely on to provide accurate answers to data questions.
Integrate data and meet compliance mandates.
SAS software integrates into virtually any computing environment, so you can unify your computing efforts and get a single view of your data. You can produce repeatable code that's easily documented and verified for compliance. And analysts are freed to focus on analysis rather than data issues.
Easily create and share graphics and reports.
Build analytical-style graphs, maps and charts with any style of output that's needed. It's easy to create reports in standard office formats such as RTFs, PDFs, PowerPoint, HTML and e-books that can be read on the iPad® and iPhone®, so you can deliver analytic results where they're needed most.
Explore More on SAS® Analytics Pro & Beyond
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Customer Story
Recovering millions of dollars in fraudulent insurance claims via advanced analyticsThe North Carolina Department of Insurance runs its Insurance Crimes Investigation System in the SAS Cloud to better detect fraud and track investigations from intake through prosecution.
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Customer Story
A healthier planet through bioscience innovationThe world’s most sustainable biotech company, Chr. Hansen, uses SAS Analytics to develop effective, natural probiotics for animal health, enabling farmers to produce high-quality, safe food for global consumers.
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Customer Story
Transforming steelmaking through IoT analyticsSSAB improves production efficiency, product quality and maintenance strategies using sensor data, artificial intelligence and advanced analytics.
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Customer Story
Artificial intelligence yields breakthrough innovation in crop scienceBoragen partners with SAS to fight plant disease, protect crops and boost agricultural production sustainably.
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Customer Story
Providing a smooth transition for military veteransThe Institute for Veterans and Military Families at Syracuse University uses data and analytics to serve those who have served their country.
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Article
A framework for analytics governanceFind out why governance is the critical last mile for analytics – and learn what you can do to make sure all your analytics projects are accurate, aligned and worthwhile.
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Customer Story
Transforming the consumer banking experience through advanced analyticsCIMB Singapore uses SAS Viya to enhance business operations and keep pace with changing customer needs.
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E-Book
Celebrating SportsAthletes have always been ambitious, rising to achieve what we once thought impossible. Now with analytics, teams have more ways to capture fan voices and measure athlete competitiveness.
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E-Book
Mastering Model Lifecycle OrchestrationThis interactive guide describes the stages of the model life cycle and explains why organizations should embrace different programming languages, tools, techniques and run-time environments when developing and deploying models.
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E-Book
Government and education: Leading through changeExplore the collected wisdom and stories of government and education leaders who are rising to the challenges of our times and applying analytics to drive evidence-based decision making.
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Customer Story
Building materials leader optimizes production using analyticsUSG Corporation relies on SAS to improve its manufacturing process and reduce downtime, costs and energy consumption.
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Customer Story
Maximizing the reach and impact of an eHealth hubMedical research facility Black Dog Institute partners with SAS to support health care workers’ mental well-being during the COVID-19 pandemic.
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Article
The opportunity of smart grid analyticsWith smart grid analytics, utility companies can control operating costs, improve grid reliability and deliver personalized energy services.
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Article
Public health infrastructure desperately needs modernizationPublic health agencies must flex to longitudinal health crises and acute emergencies – from natural disasters like hurricanes to events like a pandemic. To be prepared, public health infrastructure must be modernized to support connectivity, real-time data exchanges, analytics and visualization.
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Article
What is omnichannel analytics?Omnichannel analytics used to mean recognizing and marketing to customers across all channels. Now, smart retailers know it can, and must, mean so much more.
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Article
Empty shelves: The retail analytical talent deficitIf you already have an analytics team, you know how hard it is to attract and retain top talent. If you're trying to build a team, here are some ways to find (and keep) the analytical experts you need.
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Article
台灣製造業再戰 10 年新標配：AIoT 如何助力工廠從自動化邁向智慧化 -
Article
資料科學家還在自己做資料清理與特徵工程？怎麼不讓 AutoML 來幫你！ -
Article
為何已導入 AI，營運效率還是 NG？讓 AI 上雲提升企業數位韌性 -
Article
AI如何改寫保險業機遇？迎向2030年保險業未來趨勢AI科技為保險業帶來快速改變，從保險科技（InsurTech）到法遵科技（RegTech），遊戲規則轉變，迎向2030年的保險新頁，保險業者如何勾勒完整的智能架構藍圖，因應挑戰？
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Article
迎向開放銀行第三階段，佈局「智慧中台」實現場景金融打造消費者無縫接軌的體驗，讓金融業迎來開放銀行的潮流，紛紛佈局未來的開放銀行第三階段，透過智慧中台，能協助金融業實現場景金融。
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Article
後Cookie時代，以AI打造「客戶決策平台」追緊消費者足跡疫情加快數位轉型的腳步，讓全世界意識到數據蒐集的重要性，過去我們同步仰賴第三方cookies跨網站追蹤，然而，隨著消費者隱私意識逐漸覺醒，與GDPR及個資保護法規日益嚴格，至2022年底前，瀏覽器將會陸續停用第三方cookies。
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Article
Applying machine learning to IoT dataLet’s move beyond theoretical discussions about machine learning and the Internet of Things – and talk about practical business applications instead.
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Article
What are chatbots?Chatbots are a form of conversational AI designed to simplify human interaction with computers. Learn how chatbots are used in business and how they can be incorporated into analytics applications.
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Customer Story
Automated laboratories improve uptime with analyticsPredictive service and maintenance keeps Siemens Healthineers lab tests running on time.
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Customer Story
Predictive analytics helps save lives during COVID-19 pandemicFPS Public Health uses SAS to forecast hospital bed occupancy, predict infection rates and ensure sufficient medical staffing during global health crisis.
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E-Book
How Can Retailers Satisfy Today's Customers? With omnichannel analytics, you can use all the data you’re collecting on multiple channels, combine it with product data to improve all retail operations, while also improving the customer experience.
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Customer Story
A model of institutional research champions the value of analytics for allOklahoma State University uses SAS to create an analytics culture and increase student success.
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Customer Story
Delivery company relies on analytics to optimize logistics and swiftly meet changing marketplace dynamicsRelais Colis reinvents itself during global pandemic using SAS Visual Analytics to ensure continuity of business and quality of service.
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Series
Use of data visualization and analytics in education is growingEducators use analytics for education to make better decisions on programs, student outcomes and more. Learn how you can, too.
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Customer Story
Predictive analytics empowers bank to act quickly with confidenceOTP Bank Romania can better assess risk, meet profitability targets and enhance customer satisfaction through a streamlined data mining process from SAS.
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Article
Student lands dream job with help from SASA strong partnership between the University of Alabama and SAS put Cameron Jagoe on a path that led to his dream job with US Bank.
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Customer Story
Advanced analytics can detect and prevent insurance fraud before losses occur -
Series
7 steps for executing a successful data science strategyGet tips from TDWI for making your foray into data science a success.
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Article
Hiring? We have the data scientist interview questions you needUse these data scientist interview questions to recruit someone with a range technology skills and a knack for communicating complex subjects to a variety of audiences.
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Article
The future of IoT: On the edgeFrom cows to factory floors, the IoT promises intriguing opportunities for business. Find out how three experts envision the future of IoT.
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Article
Learning the art of analytical storytellingCrafting and pitching enticing data-driven stories is a vital skill to master. Here are a few tips to help you get started with storytelling visualizations.
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Customer Story
癌症治療進入人工智慧新時代阿姆斯特丹大學醫學中心運用分析和人工智慧，來提高腫瘤的評估速度和準確性。
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Customer Story
透過機器學習尋找最佳客戶Seacoast Bank 在 SAS Viya 上使用 AI 和 SAS Visual Analytics，提升客戶價值。
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Customer Story
智慧城市利用IoT與分析，預測及管理洪災問題北卡羅萊納州卡瑞鎮攜手SAS和Microsoft，保護市民免於洪災，守護流域並協助友善環境開發。
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Article
SAS CIO: Why leaders must cultivate curiosity in 2021With the change we’re all facing this year, CIOs should be counting on curiosity to play a crucial role in how we’re going to meet the challenges that lie ahead. From the moment COVID-19 hit, our IT organization has relied on curiosity – that strong desire to explore, learn, know - to fuel the urgent changes required. And it’s curiosity that will enable us to meet the needs of the future of work post-pandemic.
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Article
Using data to change the worldApplying data science for social good has led to new and creative ways to address issues related to education, poverty, health, human rights, the environment and more.
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White Paper
SAS Analytics and Open SourceExplore how organizations balance open source solutions along with commercial software to meet the requirements for statistical analysis, both within their organizations and externally with regulatory bodies.
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Article
Key questions to kick off your data analytics projectsThere’s no single blueprint for starting a data analytics project. Technology expert Phil Simon suggests considering these ten questions as a preliminary guide.
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White Paper
Getting Value From Your Data ScientistsSimply hiring expensive data scientists isn’t enough. To create real business value with data scientists, top management must learn how to manage them effectively.
Based on a survey of more than 300 analytics professionals (of which about one-third were self-described data scientists) working in different types of US companies, this report describes:
· Why data scientists differ from other types of analysts.
· Seven steps to managing data scientists for business value.
· How analysts and data scientists view their work and their place in the organization.
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White Paper
The Analytics MandateBased on interviews with more than 90 executives, this research paper examines how organizations can step up their analytics game by rethinking their organizational culture. Readers will learn how leading companies have improved their decision making with analytics, as well as actions they can take to develop a stronger analytics-based culture.
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White Paper
Analytics as a Source of Business InnovationCompetitive advantage from analytics is changing, and for the better. For the first time in four years, MIT Sloan Management Review found an increasing ability to strategically innovate with analytics based on interviews with more than 2,600 practitioners and scholars globally.
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White Paper
What Makes a Data Scientist Great?A collection of interviews with top data scientists, who talk about problem solving, creative approaches to data, tenacity and the surprising importance of relationships.
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White Paper
Text Analytics: Unlocking the Value of Unstructured Data This research brief from the International Institute for Analytics and SAS outlines the challenges of implementing text analytics solutions and explores what makes this technology unique and exciting.
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White Paper
Using Next-Generation Advanced Analytics to Harness Big DataDiscover why Heavy Reading recommends using advanced analytics from proven vendors to obtain real-time intelligence from all your big data.
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White Paper
Watching out for Worst PracticesBased on results from an IDG Research Services study, this paper explores how organizations are leveraging unstructured data – and what they must avoid.
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White Paper
Beyond the Hype: The Hard Work Behind Analytics SuccessWhy competitive advantage from analytics is declining and what to do about it
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White Paper
Making the Case: The ROI of Demand ManagementThis paper shows how to determine the value of improving the credibility of the demand plan. Several templates are included to help in quantifying and documenting the return on investment.
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White Paper
How AI Changes the RulesReaping the benefits of AI will require changes in workplace structures, technology strategies and technology governance. Read on to learn more about the changes that leaders must prepare for to successfully implement trusted AI.
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White Paper
TDWI Best Practices Report | Faster Insights from Faster Dataresearch report on improving speed to insight
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White Paper
Using a Hybrid Open Source and Commercial Analytics EcosystemAs more companies make the move to advanced analytics such as machine learning, they will need to decide whether to use open source, commercial products, or a combination of the two. An analysis in this TDWI report shows there are benefits to utilizing both.
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White Paper
TDWI Pulse Report | Operationalizing Analytics for Business ValueReport on deploying analytics into production
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Webinar
Analytics Value Training - A FrameworkJoin this webinar to learn about Analytics Value Training and if it’s a worthwhile investment of your time and company’s resources.
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White Paper
TDWI Checklist Report | Analytics for Everyone: Seven Tips for Promoting Analytics AdoptionChecklist Report on democratizing analytics
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White Paper
ModelOps: Maximizing Value Across the Analytics Life CycleLearn how “ModelOps,” an emerging analytics methodology, can help organizations operationalize the full analytics life cycle at scale.
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White Paper
Using Analytics to Improve Customer EngagementThe MIT Sloan Management Review's eighth annual Data & Analytics Global Executive Study and Research Report has released its latest findings regarding organizational use of analytics. Innovators continue to glean analytical insights, noting the use of data from multiple sources including customers, vendors, regulators and, in some cases, competitors.
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White Paper
IoT Analytics in PracticeIoT, Analytics
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White Paper
The Talent DividendToday’s organizations understand the value of competing with analytics. But this understanding has triggered a demand for analytics talent that far exceeds supply. Many companies are struggling to attract and retain the talent needed to build competitive advantage. This research report explores the success factors of data-oriented companies who are cashing in on their talent dividends. Discover the hallmarks of analytical maturity and see how your plan for developing, cultivating and retaining analytical talent stacks up.
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Article
Analytics startup focuses on health care optimizationAnalyzing vast amounts of data is key to optimizing health care outcomes, improving patient satisfaction and lowering total costs.
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Customer Story
Advanced analytics fuels virtual banking with data-driven decisionsAirstar Bank relies on SAS for risk-based customer due diligence, money laundering detection and comprehensive credit risk management.
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Customer Story
Building a decision support systemSAS Business Analytics helps DES generate and analyze key statistical reports, saving time and leading to more effective socioeconomic decision making.
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Customer Story
Creating value for customers via data-driven marketingWith analytics at the center of its marketing, Turkcell Superonline enhanced its competitive edge, and improved customer retention and loyalty.
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Customer Story
Leaving nothing to chance with SAS® AnalyticsAsia's leading gaming and entertainment resort increased response rate and decreased time spent creating reports from 166.5 hours per month to just 16 hours.
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Customer Story
Knowing the who, informs the whatThe New Zealand Ministry of Health established the Virtual Data Registry to more accurately identify diabetes sufferers and citizens likely to contract diabetes. They'll use the database to inform policy and spending decisions that will ensure better care for those patients.
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Customer Story
Helping employees make smarter business decisions This major manufacturer in Japan reports cost savings and an uptick in business quality using SAS to unify various business intelligence systems.
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Customer Story
How to arm graduate students with real-world skillsSAS aids Oklahoma State University in educating the business analysts of the future.
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Customer Story
Turn unstructured content into business valueCreditreform uses text analytics to turn unstructured content into valuable business insights.
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Customer Story
Child support agency uses analytics to provide better options for parentsCalifornia’s Orange County Child Support Services uses analytics from SAS to empower caseworkers to help parents make decisions that benefit their children.
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Customer Story
Project Odyssey Uses SAS® Data Mining Software to Investigate European Gun CrimeProject Odyssey, a EU-funded research and development project, uses SAS to build a ballistic crime data sharing system.
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Customer Story
Conservation efforts take flight with analyticsThe Royal Society for the Protection of Birds uses SAS to help safeguard wildlife.
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Customer Story
Double the processing speed and greater analytic depthWith new SAS infrastructure, German bank doubles the speed of its analytics and simplifies its processes.
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Customer Story
DUNSRight™ gets scoring rightDun & Bradstreet can now prepare and analyze data for more than 3 million Czech and Slovak companies locally and in near-real time.
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Customer Story
Protecting Endangered Species with AI SolutionsCan artificial intelligence protect endangered species from extinction? The answer may lie in their footprints. WildTrack researchers are exploring the possibilities of using AI to augment the process of animal tracking used by indigenous tribes and redefine what conservation efforts look like in the future.
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Customer Story
Can you run marketing campaigns cheaper, better and faster?Using advanced analytics that are now available through a point-and-click environment, Česká spořitelna's campaign managers can now perform the entire campaign process.
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Customer Story
ERGO Insurance Group centralizes CRM with SAS for campaign management.Marketing from a customer perspective using SAS for campaign management.
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Customer Story
Using Hadoop and SAS for network analytics to build a customer-centric telecom serviceOTE Cosmote analyzes vast amounts of data to enhance customer experience, service and loyalty.
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Customer Story
Predictive analytics and AI deliver a winning fan experience The Orlando Magic uses mobile app data and machine learning to personalize marketing campaigns and analyze game data.
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Customer Story
Meeting customer expectationsChubb Group increased marketing lift and gained a better understanding of which insurance niches to target by using SAS.
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Customer Story
Combating energy theft with analyticsCemig saves US$420,000 a month by identifying commercial losses related to the misuse of power and technical failures.
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Customer Story
Ensuring immediate, unhindered access to dataEurope's leading insurer gets a step ahead of competitors in Greece amidst significant change and reorganization.
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Customer Story
Customer-centricity makes sense to drive sales With SAS Campaign Management in place, UniCredit Bank Serbia boosted marketing campaign conversion rates and increased sales by 53 percent.
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White Paper
The Next Analytics Age: Artificial IntelligenceWhat management and leadership challenges will the next wave of analytic technology bring? This SAS-sponsored Harvard Business Review Insight Center on HBR.org went beyond the buzz of what machine learning can do, to talk about how it will change companies and the way we manage them.
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White Paper
The Risks and Rewards of AIExploring the rise of AI, Harvard Business Review has published a collection of articles assessing the opportunities and pitfalls that could evolve, with discussions on the innovative uses of data and analytics, industry adoption, impacts to human work, and the factors of business change.
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White Paper
Fast and Furious: Big Data Analytics Meets HadoopConclusions paper from a presentation at the 2014 Strata Santa Clara big data conference, in which two SAS data experts demonstrated new ways of gaining insights from big data at speeds that will redefine how organizations solve complex problems.
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White Paper
Persuading With DataThis HBR Insight Center report examines best practices for using graphics, data and storytelling to make business cases, get organizational buy-in, train talent and win customers. Topics will include selecting the most relevant and compelling metrics, emerging practices and common pitfalls of data visualization and more.
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White Paper
Making Big Data ActionableThis Harvard Business Review webinar explores how organizations can make big data useful and profitable by embedding analytics into business processes. Readers will learn how to find and communicate new insights more easily with compelling data visualization tools and techniques.
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White Paper
From Data to ActionThis Harvard Business Review Insight Center report examines what your data may or may not be telling you. Featuring 30 articles from researchers and practitioners in data science, marketing, and other fields, the report offer guidelines on making good use of information and turning it into profitable behaviors.
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Series
Tracking down answers to your questions about data scientistsDo you need a data scientist? Want to be a data scientist, or improve the skills you already have? Check out our Insights series.
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Series
Preparing a new generation for leadership in a big data worldWords of wisdom from university leader Dr. Michael Rappa on the role data scientists play, tips for hiring them and how to make the most of this career path.
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Customer Story
A data-driven approach to whole person careRiverside County relies on data integration and analytics from SAS to improve the health and well-being of vulnerable Californians.
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Customer Story
Transforming mental health care in California, turning data into insight California's Mental Health Services Oversight and Accountability Commission uses analytics and data management to better serve residents and increase community well-being.
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Customer Story
Advanced simulations and ‘stress-proof’ models help digital bank successfully navigate uncertain scenariosBanca Progetto relies on predictive analytics and a cloud-first approach to mitigate risk, better serve clients and plan for the future.
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White Paper
How To Use Analytics to Create Health Care Value: An Executive Primer US health care reform has digitized health care. Analytics holds promise in creating value from the growing stores of health care data but what are the critical executive considerations for applying analytics strategically? This paper presents how to tap into the great potential to use analytics to fish for insight from your growing data lakes.
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White Paper
The Analytics Mandate: Tapping into the energy industry's rich data resourcesEnergy companies are looking for ways to change consumption patterns by better understanding consumers. The answers are in the data. And the solution is developing a sustainable analytics strategy.
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Article
疫情再襲零售業的備戰之道:如何提高需求預測準確度?對零售業來說，現今最重要的事，就是增加營收、降低因為疫情而造成的業績衝擊。然而要實現這個目標，光靠發放折價卷或提供購物優惠等方式還不夠，零售業必須從根本做起，提高需求規劃的精準度，才能真正從疫情衝擊中恢復，並建立日後若再面臨類似衝擊時，可以從容應對的能力。
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Article
線下轉線上，企業的極速轉型！對有實體店面的零售業、餐廳及銀行分行來說，從線下轉到線上數位通路的經營是唯一的出路。然而經營數位通路絕非只是在 Google 或臉書下廣告就能創造營收，如何在流量導引到自家網站後，即時分析客戶行為，依照喜好給予最佳商品推薦，才是創造下單成交的關鍵。
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E-Book
The Machine Learning Primer This e-book provides a primer on machine learning, deep learning, natural language processing and cognitive computing, as well as 10 best practices and a checklist for machine learning readiness.
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White Paper
Next-Generation Analytics and PlatformsWhat if you could move from data visualization to big data visualization? From slicing and dicing data to using analytics to predict outcomes? From using more than just structured data for analysis? This TDWI Best Practices Report focuses on how organizations use next-generation analytics to achieve this and more.
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White Paper
Eight Considerations for Utilizing Big Data Analytics with HadoopThis paper focuses on eight considerations when it comes to applying big data analytics to extract value from Hadoop. Readers will learn about the importance of in-memory analytics, how to optimize the data preparation processes and the skill sets needed to derive benefits from Hadoop.
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White Paper
Cognitive Computing: Analytics and BeyondWith the addition of text and sentiment analytics, predictive modeling and sentiment prescriptive analytics, analytics has taken another leap forward. This paper, by Sue Feldman of Synthexis, explains how cognitive computing helps you understand ambiguous problems while adding accessibility to data for more users.
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White Paper
In-Memory Analytics: Get Faster, Better Insights from Big DataThis QA with Tapan Patel, Global Product Marketing Manager at SAS, provides a great overview of in-memory analytics.
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White Paper
Field Experience in Embedded AnalyticsA discussion summary from International Institute for Analytics
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White Paper
The Democratization of AnalyticsInternational Institute for Analytics summarizes key questions and answers about grass-roots analytics and the business opportunities and challenges that go with this phenomenon.
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White Paper
Business Intelligence and Analytics Capabilities Report This report, written by the International Institute for Analytics and sponsored by SAS, examines the relationship between business intelligence (BI) and advanced analytics (AA) in large organizations. The report is based on a survey of midmarket and enterprise businesses about their current BI environments and AA capabilities, including analytics skills and self-service options. Read this report to learn more about the biggest barriers to adoption for BI and AA, the best investments for both, common pitfalls, and how to increase analytics maturity and adoption in your company.
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White Paper
BARC Score Advanced Analytics PlatformsBARC Score
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White Paper
Text Analytics 2014: User Perspectives on Solutions and ProvidersThis report looks at why and how text analytics has found success in industries such as consumer-facing businesses, public administration and government, life sciences and scientific research. It also shares the findings of a comprehensive market study focused on user experiences with the technology.
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White Paper
Heavy Reading: Advanced Predictive Network AnalyticsHeavy Reading reveals how predictive analytics gives service providers real-time visibility into their networks – boosting revenue potential and ensuring more satisfied customers, better targeted marketing, fine-tuned capacity planning and top-notch service assurance.
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E-Book
5 Steps to Accelerate Value From Your Industrial IoT Data This e-book features five steps industrial leaders can follow to get more value from IIoT data. It describes how to craft a comprehensive IIoT strategy, what to look for in an edge-to-enterprise analytics solution, and how to evaluate IIoT solutions.
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White Paper
Rethinking Enterprise BI to Fit a Self-Service WorldSelf-service enterprise BI best practices
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White Paper
Inside Sports Analytics10 lessons that Thomas H. Davenport, Independent Senior Advisor for Deloitte Analytics, uncovered in research conducted on more than 25 professional teams effectively using analytics to improve performance and decision-making.
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White Paper
Operationalizing and Embedding Analytics for ActionOperationalizing and Embedding Analytics
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White Paper
Accelerating the Path to Value with Business Intelligence and AnalyticsBI and Analytics Accelerating Value
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White Paper
Predictive Analytics: Revolutionizing Business Decision MakingThis TDWI e-book explores predictive analytics from several perspectives. First, it offers Q and A on the value, use and requirements of predictive analytics. Then, it explores three safeguards to help you avoid model-building problems.
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White Paper
TDWI Checklist Report: Gaining Business Value from Governed Analytics and Discoverydata governance
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White Paper
Advanced Analytics: Moving Toward AI, Machine Learning, and Natural Language Processingadvanced analytics, artificial intelligence, machine learning, natural language processing
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White Paper
TDWI Checklist Report: Seven Steps for Executing a Successful Data Science StrategyThis TDWI Checklist Report describes seven steps to get started on the path to a successful data science strategy. Data science is a hot topic among business and IT leaders. However, excitement about its potential benefits is tempered by the difficulty of finding, hiring and training data science personnel – not to mention defining the term within the context of your organization
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White Paper
SAS®: A Comprehensive Approach to Big Data Governance, Data Management and AnalyticsSAS puts you in charge of burgeoning big data governance issues. See how in this paper by Sunil Soares.
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White Paper
BI, Analytics, and the Cloud: Strategies for Business AgilityCloud BI and analytics
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White Paper
Eight Steps for Using Analytics to Gain Value from Text and Unstructured ContentThis TDWI Checklist Report discusses the relevance of text analytics for improving user experiences with the semi-structured and unstructured textual big data now at their disposal.
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White Paper
From Value to Vision: Reimagining the Possible with Data Analytics -
White Paper
Leveraging data successfully for developmentThe Economist Intelligence Unit conducted a survey of global data scientists and professionals on their use and interest in data analytics. One of the key themes from the research was the desire to improve development using data – ranging from policymaking to education and health care.
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White Paper
Machine learning and artificial intelligence in a brave new worldMachine learning in the last few decades has given way to an AI revolution. From self-driving cars to virtual assistants, learn more about the endless possibilities for these developing technologies.
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White Paper
Drive Next-Generation Customer Experiences with Real-Time Connected Product and Service Analytics SAS, Hortonworks and Intel can help you embrace technologies and processes to anticipate a wide range of customer needs, providing the foundation for next-generation customer experiences.
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White Paper
Drive Next-Generation Performance With Real-Time Connected Manufacturing This special report sponsored by SAS, Intel and Hortonworks explores how manufacturers are capitalizing on the promise of the IoT, creating new value streams and revolutionizing the relationship with markets.
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White Paper
Business Analytics -- Six Questions to Ask About Information and Competition -
White Paper
Improving disaster response efforts through dataThis article explores the use of data and analytics in areas of social and economic development, including disaster management. The article was created with data from a survey by The Economist Intelligence Unit of data scientists and professionals in the public and private sectors globally.
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White Paper
Analytics in Sports: The New Science of Winning -
White Paper
Achieve Business Agility and Realize Big Data Value with Cloud AnalyticsWhen coupled with a solid strategy, cloud analytics can play an
instrumental role in helping organizations realize big returns on big
data investments.
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White Paper
Predictive Analytics in PracticeThis Harvard Business Review Insight Center report features 25 articles focusing on how to use predictive analytics in decision making and planning. Look at emerging best practices in the field, as well as examples of companies that use analytics in particularly innovative ways.
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White Paper
The impact of data and analytics on local governmentGlobally, data and analytics usage for local governments is on the rise. From planning to operational impact, municipalities benefit from data-driven decision making and data sharing. And the ultimate winners are its citizens, offering better use of taxpayer funding and improved living conditions.
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The Next Analytics Age: Machine LearningWhat management and leadership challenges will the next wave of analytic technology bring? This SAS-sponsored Harvard Business Review Insight Center on HBR.org went beyond the buzz to talk about how machine learning will change companies and the way we manage them.
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Leadership and Big Data InnovationA Harvard Business Review Key Learning Summary
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Prepare Your Organization to Capitalize on Predictive AnalyticsHigh-performing organizations take advantage of the power of analytics by channeling their efforts in four areas: focus, adopt, adapt and activate. This Harvard Business Review paper describes how to succeed in those areas, and overcome the barriers that get in the way of an ROI in analytics.
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Big Data at Work This Harvard Business Review Key Learning Summary explains how to capitalize on the data you already have and how to integrate big data into everyday business operations.
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E-Book
Enrich Your Data With Location AnalyticsLocation is more than a point on a map. It is a pathway to growth and better service. Matching up location information with big and little data can revolutionize business practices. Learn more in this e-book.
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The Evolution of AnalyticsLearn about modern applications for machine learning, including recommendation systems, streaming analytics, deep learning and cognitive computing. And learn from the experiences of two companies that have successfully navigated organizational and technological challenges to adopt machine learning and embark on their own analytics evolution.
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From chaos to coherence: Managing pandemics with dataBased on a survey by The Economist Intelligence Unit on the use of data and analytics, professionals in the public and private sectors around the world viewed health care as the industry with the greatest potential to benefit from data analytics. In fact, the global sharing of health care data means most are optimistic about preventing future pandemics, and they want businesses to work closer with government entities to share health care data for the greater good.
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Analytics and ITA Harvard Business Review Key Learning Summary
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The Analytics Arms Race: May the Best Insights WinIndustry leaders CGT and RIS have joined forces for this annual check on the analytics maturity level in CPG and retail.
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Sales & Marketing Report 2017 - The Digital ExperienceCGT’s Sales & Marketing Report 2017, sponsored by SAS, looks at progress on several key topics, including supply chain, trade promotion, direct-to-consumer marketing, data and analytics, security and the digital enterprise.
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Using Big Data to Enable the Omnichannel Retail ExperienceAs trends in consumer buying patterns continue to evolve, retailers need solutions that can derive deep data analytic insights to provide a more sophisticated, centralized view of their customers’ preferences and buying journeys.
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Analytical Execution for Today's Mid-Sized EnterpriseAnalytics & Business Intelligence
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Seven trends that will transform bankingAdvanced analytics and big data are enabling smarter decisions and more efficient processes, from credit to compliance and risk management.
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Data, analytics and machine learning: The new frontier of fraud preventionThe Economist explores how global financial institutions are using advanced technologies such as machine learning to support fraud and security intelligence.
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Data Analytics at the Edge451 Research explores the value of diverse IoT data that is processed and analyzed at the edge in environments like T&D facilities, oil fields and manufacturing shop floors.
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Field Experience in Embedded AnalyticsFast-track selected analytics into the could by leveraging expertise, using the latest methods, and focusing on the end state. Find ways to create more business value with analytics in the cloud – and ways to get there faster.
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Data, Analytics & AI: How Trust Delivers ValueThe annual Data and Analytics Global Executive Study with MIT Sloan Management Review looks at how 2,400 global business leaders make decisions based on analytics insights.
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Artificial Intelligence in Banking and Risk ManagementGlobal Association of Risk Professionals (GARP) and SAS survey drew more than 2,000 responses from across the financial services industry to answer questions about the current and future state of AI in risk.
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The Autonomous Grid in the Age of the Artificial Intelligence of ThingsExplore how AI and IoT work together to deliver everything from improved threat detection to better customer engagement for utilities.
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TDWI Checklist Report | Six Best Practices to Ignite the Customer Experience with IoTThe IoT extends digital customer experience to physical customer experience and customer journeys for ultimate brand distinction. This TDWI Checklist Report, sponsored by SAS, outlines six best practices for data professionals and practitioners when using IoT to improve customer experience.
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Minding the Analytics GapThis MIT Sloan Management Review explores the gap between an organization’s capacity to produce analytical results and its ability to apply them effectively to business issues. The research highlights how managers can become more comfortable making decisions based on complex analytical insights that they do not yet fully understand.
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The Autonomous Grid: Machine Learning and IoT for UtilitiesMachine learning and the IoT have the power to create an increasingly autonomous grid that can eventually handle billions of endpoints on utility networks. But is the industry truly maximizing the benefits of either technology? Find out in this report.
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Unleashing the Power of Text Analytics for HotelsDiscover how text analytics can improve the way your hotel runs its business – from marketing to operations to revenue management.
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Hosted Managed Services for SAS® TechnologySAS provides hosted managed services designed to provide faster and easier deployment options for SAS technologies. This white paper reviews the fundamentals of this capability.
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Better Forecasting With Next-Generation Demand ManagementThe multitude of forces affecting the relationship between demand and supply are set to expand their influence. Smart leaders will take advantage of the flood of digital data to better understand those forces to make more accurate and predictive supply chain decisions.
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The Analytic EnterpriseMaking sense of enterprise data takes the right people with the right skills - and a solid strategy. This paper outlines what successful organizations do to make data work for them.
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E-Book
What's Next for Life Sciences?The unique challenges of the coronavirus pandemic forced life sciences companies to respond to change more rapidly than ever before. Only the companies that are nimble, innovative and able to act quickly – while maintaining regulatory and scientific standards – will succeed in addressing the immediate needs of the crisis and beyond.
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E-Book
Resilience: The best way to beat coronavirusTo be truly resilient means proactively seeking ways to ensure operational and financial stability no matter the circumstances. In this e-book, we explore digital transformation’s role in reimagining the world beyond COVID-19; how operational agility builds resilience; the five pillars of organizational resilience and more.
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E-Book
Streaming analytics: Life happens fast. Are your analytics keeping up?Download this free e-book to find out what streaming analytics is, the unique opportunities it can address and five key success factors for planning your streaming analytics program.
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Formidable ForecastsWith artificial intelligence capabilities and traditional forecasting processes, it’s possible to create efficiencies by automating the production of large-scale time-series analyses and hierarchical forecasts.
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E-Book
Governments leading through changeIn this e-book, SAS has collected the wisdom and stories of the government agencies that are rising to the challenges of our times and applying analytics to drive evidence-based decision making. These stories are pulled from every sector of government and are relevant across all sectors because they each share innovative new ways to respond to a changing landscape.
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The new analytics ecosystemMany organizations are struggling to evolve their current analytics ecosystem, with disparate groups working across multiple technologies and tools. We surveyed more than 1,000 organizations to determine their level of adoption of technology to evolve their analytics ecosystem. In this e-book, you’ll learn the results of our survey and the three approaches to analytics that deserve your attention
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Innovation: From data to businessReport on findings from a global expert interview study on the topic of analytics driven innovation; Peer insights to help navigate the journey from data to innovation.
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Make every voice heard with natural language processingNatural language processing: The communication link between human and machine intelligence.
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Building your data and analytics strategyLaunch successful data analytics projects, improve data prep and go beyond conventional data governance. Read on to help your organization become truly
data-driven.
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E-Book
How to Maximize the Impact of your AnalyticsFind out the results of our latest research, which revealed that the use of analytics is continuing to evolve in most organizations and that many organizations are on the path to using analytics strategically.
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White Paper
How the first mile of consumer goods can fight climate changeInnovation via digital transformation in agriculture and consumer packaged goods presents a unique opportunity to capture sustainability and move toward scalable, market-driven improvements in the air, soil and water.
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Accelerate Open Source Forecasting With SAS®By running open source forecast models with SAS, organizations can build upon their existing open source strategies in an agile, efficient and highly scalable way.
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Four Elements of Sustainability AnalyticsDirectors at consumer-packaged goods manufacturers who embrace sustainability grow their revenue while improving lives and environmental outcomes.
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4Rs of Digital Farming: How SAS Is Advancing Precision AgricultureGrowers and agronomists aiming for higher production, greater profitability, more effective conservation or improved sustainability lean on “4R” nutrient stewardship (right source, right rate, right time and right place). The same 4R principles should apply to precision agriculture.
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Using Agriculture Analytics to Improve Field TrialsCutting-edge research and development firms can operationalize streaming weather data, multidimensional observations and volumes of drone-collected data. But most product developers struggle to capture a fraction of their data’s value.
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E-Book
Your data scientist hiring guideThis ebook provides a brief guide for data scientist hiring. It offers 20 interview questions, 3 data scientist profiles and tips on building a data science program. The book provides a call-to-action to the data scientist primer page.
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Unleashing the Power of Text Analytics for Travel Discover how text analytics can improve the way your travel organization runs its business – from marketing to operations to revenue management.
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Utility analytics in 2017: Aligning data and analytics with business strategyTo better understand organizational readiness for analytics and key areas of analytic priority in this diverse business landscape, SAS conducted an industry survey. The survey explored the issues and trends that are shaping how utilities are deploying data and analytics to achieve their business goals.
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Understanding Data Streams in IoTThis paper explains how streaming analytics helps you acquire, understand and use real-time, streaming data to make fact-based, automated decisions – and instantaneously react to new information.
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Using data to change the worldIt’s clear that data has the power to transform businesses and entire industries, but can it also change the world? When you combine passion and curiosity with analytics – the answer is yes.
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How Streaming Data Analytics Enables Real-Time DecisionsLearn how SAS provides extremely high-throughput, low-latency technology to meet whatever streaming analytics your company might want to pursue.
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Tomorrow's telcoCSPs spend more than 50 percent of their budgets on growing their networks, but few use analytics to guide capacity-planning decisions. Studies and surveys show that churn is a direct result of CSPs not knowing their customers well. How can CSPs learn to do more with less? The answer is advanced analytics.
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Turbo-Charging Spreadsheets -
E-Book
Storytelling in Business: The plot, the players and the path to dynamic customer engagementTake an interactive look at how a newly appointed Customer Experience Manager (CEM) navigates his quest to create an omnichannel experience. This ebook walks through steps for building a team focused on a common goal and creation of a customer journey map. You’ll see how the CEM learns about the power of story as a communication tool to share the progress and success of the omnichannel project. It includes an interactive checklist you can use to see how storytelling is working for you.
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Text Analytics in GovernmentHow can federal, state and local government agencies capture, manage, and use the massive volumes of unstructured text data available to them? This paper explores how agencies can invest in technologies such as text analysis to help them unlock insights hidden in their "big data."
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Text Analytics for ExecutivesThis paper looks at how organizations in banking, health care and life sciences, manufacturing and government are using SAS text analytics to drive better customer experiences, reduce fraud and improve society.
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Structured, Large-Scale Statistical Forecasting Using SAS® Forecast ServerAs forecast accuracy continues to be a key focus area in organizations today. SAS Forecast Server is designed to automatically deliver high-quality statistical forecasts quickly and efficiently. However, in some cases the size and complexity of the business problem requires some tweaking of the settings available in SAS Forecast Server to cater for the specific characteristics of different parts of the data. This paper presents a structured approach to statistical forecasting that is both flexible and uses the full power of SAS® Forecast Server without compromising user friendliness and manageability.
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SAS® Results Delivers ValueSAS Results combines the expertise of SAS experts with the company's leading analytics platform to give you deeper insights into your data landscape.
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SAS® Grid Computing – What They Didn’t Tell YouJoin Austria’s Erste Group Bank on their journey from a monolithic SAS processing environment to a more flexible infrastructure using SAS Grid Manager software.
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SAS® in the Open EcosystemAnalytics professionals can create, experiment, test and deploy analytics using different methods, languages and skill sets – within one cohesive platform – while IT can easily govern all analytical assets in a centralized manner and scale big data processing power as needed.
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Redefine Your Analytics Journey With Interactive Data Exploration and Predictive AnalyticsWhat if your analytics journey were easier? It can be, in five easy steps. Learn how SAS Visual Analytics and SAS Visual Statistics together can provide a fast, fun way to explore data, build models and find the best performer.
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E-Book
Rationalizing Risk in AIOrganizations that wait for AI perfection tomorrow will invariably miss out on its great potential today. Because while risk can’t be avoided entirely, it can be rationalized.
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Portrait of a CAOOur latest eBook is an interview and blended profile of a government agency’s first Chief Analytics Officer. While the profiled CAO is fictitious, the ideas, processes and strategies within the book are real and proven. And although the industry focus is government, the eBook offers insights on the challenges and experiences of the CAO in any industry.
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E-Book
Out in the open with analyticsLearn how businesses in multiple industries are combining the benefits of SAS and open source analytics, integrating disparate code and information to deploy models and deliver critical results.
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The Power of CollaborationThis white paper explains the need for and value of the collaboration and self-service capabilities that SAS Visual Analytics and SAS Office Analytics provide. It provides how-to specifics for incorporating SAS Visual Analytics results with Microsoft Outlook, Excel, PowerPoint, Word and SharePoint with plenty of screen shots, explanations and architecture diagrams for IT.
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Optimize Your Launch Sequence StrategiesThis white paper explores how the SAS® solution for launch revenue optimization enables global pricing teams to simulate and optimize launch timing and pricing decisions based on the predicted effect on global revenue.
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The New Approach to Big, Complex and Always-On DataOrganizations struggling with bigger, more complicated data are finding new ways to turn this information into results. This paper provides a framework to embrace the technological and cultural shifts driving the way we consume and use information.
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Analytics Accelerates Monetization Opportunities for Connected Vehicle and Mobility ServicesLearn how automakers and their partners are using IoT data and analytics to help them reshape business models, seize new sources of revenue and develop inventive ways to better serve customers.
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How Midsized Businesses Can Take Advantage of Big Data How-to guide for midsized businesses looking to get started in data visualization. Seven practical tips will provide insight on how to get real results from data analysis and visualization.
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E-Book
The Mechanics of StorytellingAnalogies are a powerful tool that can help an audience grasp complex ideas. This ebook uses the technique by comparing a mechanic’s journey to a storyteller’s assembly process defined by the acronym, “PARTS”: people, analytics, requirements, tools and success factors.
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What Management Must Know About ForecastingExplore why forecasts are often wrong and learn about ways to improve them.
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Machine Learning With SAS® Enterprise Miner™Learn how SAS modelers prepared data and applied different machine learning techniques to create and identify the most accurate model for predicting churn using KDD Cup data.
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E-Book
Making Sense of AIThis e-book explores the current boundaries of AI, as well as the many ways that modern AI applications can improve our understanding of the world and enable us to make better, faster decisions.
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Managing the Analytics Life Cycle for Decisions at ScaleLet the SAS Analytics Life Cycle guide you through the iterative process of going from raw data to predictive modeling to automated decisions, faster. This paper tells you how.
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The Machine Learning LandscapeThis paper, for novice and intermediate data scientists, talks about the four widely recognized machine learning styles and their common uses, data and modeling methodologies, and popular algorithms for solving machine learning problems.
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Machine Learning Use Cases in Financial CrimesLearn 10 proven ways machine learning can boost the efficiency and effectiveness of fraud and financial crimes teams – from data collection to detection to investigation and reporting.
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Looking Inside SAS® Forecast StudioOrganizations depend on statistical forecasting to provide a solid foundation for many important planning and decision-making processes. SAS Forecast Server, which comprises a graphical user interface (SAS Forecast Studio) and the statistical forecasting engine (SAS Forecast Server Procedures), facilitates and speeds the forecasting process by providing a convenient, user-friendly interface to the large-scale automatic forecasting, model building and time series exploration capabilities available in SAS.
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Innovation driven by strategyFrom curing diseases to studying the sun, innovative uses of analytics are changing the world. Download this e-book to see where tomorrow’s technologies are happening today. You’ll find out how analytics technologies are being used for cybersecurity, machine learning, the Internet of Things and more. If you’re looking for inspiration, see where this e-book takes you.
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Desktop Forecasting for Small and Midsize Businesses -
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Your guide to bridging the analytics skills gap This e-book pulls together five customer interviews to explain where analytics skills are needed in different industries (from journalism to insurance to government). The customers explain how to provide training and cultural changes to support analytics careers.
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Discovering What You Want: Using Custom Entities in Text MiningDiscovering the value from data can be complex – and that’s even more complicated when you focus on documents and other text information. While text analytics is an emerging field, applying advanced analytics technique to text data is a powerful means to uncover information concealed in document collections.
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E-Book
Doing good with government dataFrom child welfare and public health to combating prescription abuse and improving education, analytics is improving government programs around the world.
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Forecast Value Added Analysis: Step-by-StepThis paper discusses how the forecast value added (FVA) metric can be used to identify waste in forecasting processes and expose factors that diminish accuracy. The author provides detailed instruction on using FVA: from gathering data, to conducting analysis, to effectively reporting the results to management. He also discusses the real-world results of FVA analysis at companies from a variety of industries.
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White Paper Enhancing the Fan Experience With Event Affinity AnalysisLearn how to use sports fan data to better target and personalize marketing.
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E-Book
What’s the new normal in health care?Even before the COVID-19 crisis, health care was changing. But the urgency of the pandemic accelerated change in health care delivery, resource optimization, data-driven thinking and decision making, and much more.
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Demand ShapingDemand shaping is commonly thought of in terms of demand manipulation. This paper provides an extended version of demand shaping that helps organizations understand the dynamics of both supply and demand.
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Thirsting for Insight? “Unpolluted” data is core to a successful business – particularly one that relies on analytics to survive. But preparing data for analytics is full of challenges. By some reports, most data scientists spend 50 to 80 percent of their model development time on data preparation tasks. SAS adheres to five data management best practices that help you access, cleanse, transform and shape your raw data for any analytic purpose. With a trusted data quality foundation and analytics-ready data, you can gain deeper insights, embed that knowledge into models, share new discoveries and automate decision-making processes to build a data-driven business.
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Demystifying AnalyticsTo educate and inform insurance companies about how they can move toward becoming an “analytic insurer” – one that embeds analytics into daily operations to make better decisions that reduce costs, improve pricing and more.
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Demand Planning Maturity Model -
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How to Do Deep Learning With SAS® Get an introduction to deep learning techniques and applications, and learn how SAS supports the creation of deep neural network models.
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Data Visualization TechniquesA picture is worth a thousand words – especially when you are trying to find relationships and understand your data – which could include thousands or even millions of variables. This paper takes you from the basics of charts and graphs to visualizing big data using SAS Visual Analytics.
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Data Storytelling Confidential: 7 Secrets for Storytelling NewbiesIn our “always on” culture, companies are finding it harder than ever to navigate the competitive landscape while being seen as authentic. So how do you become more authentic? By sharing stories that help your audience connect with you on a human level. Regardless if you’re looking for program adoption, boardroom consensus, knowledge transfer to teach a new skill or lead change within your company, stories work for business because good stories help the listener identify with you and your ideas.
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Data Mining From A to ZThis paper shows how you can use predictive analytics and data mining to reveal new insights from data, as well as get all the pieces and parts moving together for maximum value.
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The Connected Vehicle. Big Data, Big OpportunitiesThe opportunities for the automotive industry are enormous as the number of connected vehicles is projected to outpace global population growth for the next 10 years. The data collected from these vehicles, up to 30 terabytes each day, will have wide-reaching implications for drivers and manufacturers alike.
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Data-Driven: Going from all gut to analytically inspired glory This e-book shares in simple terms what it means to develop and cultivate a data-driven or analytic culture. It identifies key principles and practices that help an organization become more data-driven and provides a simple framework for managing that change.
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Customer Analytics: Taking the First StepLearn how to take the first step toward creating a valuable customer analytics program – understanding the customer using data visualization capabilities.
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Building a Foundation for HR Analytics Valuable insight into what it takes to build HR analytic competency from scratch.
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E-Book
Why choose a career in analytics?Why are analytics careers so hot? A few years ago, a Harvard Business Review article by Thomas Davenport, “Data Scientist: The Sexiest Job of the 21st Century” brought analytics as a career choice into the mainstream. Then there was a recent McKinsey study that predicts 3 million big data jobs will need to be filled in the US alone. Businesses, governments and nonprofits all use analytics every single day. To make decisions. Make a difference. And do more with less. Read this e-book to see where a career in analytics could take you. Your dream job awaits.
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Channeling Streaming Data for Competitive AdvantageDiscover how and why innovative companies are transforming business operations by using streaming analytics to extract meaning from live data streams as data is created, and automate reactions to it with millisecond response times.
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Center of Analytics: What It Is and Why It MattersDesign a center of analytics that overcomes roadblocks and makes analytics integral to operations.
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Bringing the Power of SAS to HadoopWant to get even more value from your Hadoop implementation? Learn about the SAS portfolio of solutions that enable you to bring the full power of business analytics to Hadoop.
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E-Book
Becoming a data-driven organizationLearn about the three foundations of becoming data-driven – data management, analytics and visualization – and how they can increase profitability, boost performance, raise market share and improve operations.
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The Art and Science of ReinsuranceThis white paper explains how reinsurers can gain a competitive advantage by turning to technology for catastrophe modeling, data analytics and geospatial information systems (GIS) to better understand the data and their risk exposure.
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Artificial Intelligence for ExecutivesThis paper outlines the SAS approach to AI and explains key concepts. It also provides process and implementation tips if you are considering adding AI technologies to your business and analytical strategies.
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Approachable Analytics With SAS® Web Solutions See how SAS Web solutions enable rapid prototyping of new analytic solutions.
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Workforce AnalyticsThis paper explores how government HR functions can use advanced analytics, machine learning and AI to develop effective plans to meet hiring, retention and performance goals.
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Anatomy of an Analytic Enterprise -
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Using Analytics With Open Data to Build a Stronger GovernmentLearn how governments can use open data and SAS to pinpoint, analyze, solve and predict problems and uncover new opportunities.
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Analytics and the Modern IT OrganizationLearn how forward-thinking CIOs and other C-level executives are planning to create a more modern IT designed to take advantage of big data.
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The Analytics Mandate: Path to Innovation in the Hospitality, Travel and Transportation IndustryWhile price is certainly a critical factor in the consumer’s buying decision, pricing alone does not guarantee purchase. Other factors such as convenience, past experiences, amenities, social media comments (ratings and reviews), and loyalty and reward points play a part. For continued success, the industry needs to expand analytic usage for a deeper understanding of customers, preferences, brand perception and digital behavior.
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The Analytics Mandate: Helping Retailers EvolveFind out why 77 percent of retailers who participated in an MIT Sloan survey believe analytics provides a competitive advantage compared with 64 percent of respondents from other industries.
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The Analytics Mandate: The Best Products Are Made With InsightsTo be successful, CPG companies must work with their retailer partners to maximize online awareness while minimizing its impact on other channels. As global consumption increases, investments must be managed in emerging markets while maintaining market share in mature markets. For CPG companies, it’s a constant balancing act and more than ever analytics is needed to gain business advantage.
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The Analytics Mandate: Generating profits in difficult economic and regulatory timesLearn how and why banks need to apply more analytics for real-time decision making and multichannel marketing as consumers continue to migrate to digital channels and generate more data.
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Analytics Across the Student Life CycleWhy higher education institutions need to implement data integration, data visualization and analytics solutions. It then shares best practices for applying these technologies across the student life cycle and examples of how schools are using these technologies to improve decision making.
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The 3 R’s of AI Adoption: Refactor, Reinvent, ReimagineLearn how organizations are using AI to refactor, reimage and reinvent business as usual. Understand the relative impacts on business process, analytics and data practices, and DevOps at each level of adoption.
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Assessing Your Business Analytics Maturity: Eight Metrics That MatterSAS conducted a benchmark survey of more than 260 US companies across all industries to determine each organization’s proficiency across the key metrics. The results of this survey are presented in this paper to provide guidance for short- and long-term efforts needed to enhance analytical effectiveness.
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The Use of Open Source is Growing. So Why Do Organizations Still Turn to SAS?This conclusions paper summarizes a session at the 2014 Hadoop Summit presented by Brian Garrett, Principal Solutions Architect at SAS Institute Inc. titled, “With the Rise of Open Source, Why Organizations Still Turn to SAS.” In it, he explains why corporate analytics requirements are best served when companies run both SAS enterprise-class analytics solutions and open source solutions together. Garrett explains how these technologies meet different needs and co-exist well. He also highlights recent SAS software enhancements that allow analysts to incorporate R algorithms into analytic processes as part of a comprehensive, enterprise-class SAS analytics platform.
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Statistics and Machine Learning at ScaleDiscover how machine learning can be applied to a variety of applications, and learn about the techniques required to help computers learn from massive amounts of data.
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Advancing Your Business Intelligence With Location AnalyticsSAS sees location analytics as an extension of BI, so we partnered with GIS leader Esri to bring GIS and BI together. Learn how users can now access self-service mapping and spatial analytics from within the intuitive SAS Visual Analytics tool.
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Forecasting 101Organizations spend much time and money searching for a magic formula for the perfect forecast, yet still get bad forecasts. But it doesn't have to be this way. This paper provides a summary of a webinar in the SAS "Applying Business Analytics" series that discusses how businesses can achieve better accuracy and forecasting efficiency by understanding the nature of demand patterns and where the forecasting process is adding value — or not.
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Recommendation SystemsIn this paper, Wayne Thompson, PhD, Manager of Data Sciences Technologies at SAS answers common questions about the types of recommendation systems used today, who uses them and why, and the advantages of using them for businesses today. He also delves into how the underlying technology typically works, with a special focus on SAS capabilities and benefits.
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Getting There From Here: Moving Data Science Into the BoardroomStudy after study confirms the obvious: Companies that invest in big data analytics perform at a higher level and are more profitable than their not-so-data-driven counterparts. What data scientists can do to help instill a data-driven culture at the top leadership ranks of the company.
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Institutionalizing Real-World EvidenceSee the seven key components life sciences organizations must have in place to provide structure to the quest for real-world evidence – and four ways to take it to the next level.
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Closing the OODA Loop: Using Big Data and Analytics to Improve Decision MakingCompress decision cycles and operate proactively by assessing and clearly defining goals and timelines before applying analytics to your most valuable data.
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How Analytics Improves Decision Making at the Department of Defense -
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Three's Company: The Benefits of Forecasting, Optimization and Simulation -
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Choosing New Slots? Here’s a Game-Changer.This conclusions paper presents highlights of a SAS webinar showing how a unique combination of data profiling, statistical forecasting and optimization can improve slot floor performance, utilization and patron satisfaction.
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Big Data, Analytics and HadoopSAS and Hadoop are natural partners. Hadoop provides distributed storage and processing power. SAS treats Hadoop as just another data source and complements it with data management, data discovery and advanced analytics. This conclusions paper highlights two ways you can work with Hadoop data from within a familiar and interactive SAS Analytics environment – either with the graphical user interface of SAS® Visual Statistics or streamlined programming via SAS In-Memory Statistics for Hadoop.
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The secret to IT success? Enabling choice and control SAS can support an organziation's journey toward becoming a data- and analytics-driven organization. We can help unlock the value by enabling with choices that make sense. Plus, we can show organizations how to get the most out of technology investments.
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The Artificial Intelligence of Things We’re living in a world that has more connected devices than humans. See how AI amplifies the value and potential of this fast-growing Internet of Things.
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Customer Story
Improving the fan experience with machine learningAEG Sports uses SAS® advanced analytics on Microsoft Azure to remain agile during uncertain times and plan for the ‘new normal’ of spectator sports.
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Article
Discover a secret resource for working with cloud providersAre you overwhelmed by the hundreds of options and offers in the cloud? Are you finding it hard to select the best cloud services from the different cloud providers? Why not ask a neutral and informed third party for help?
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Customer Story
Analytics helps ensure fair and balanced pay structures across Sweden’s public sectorTietoEVRY and SAS partner to help Sweden's largest employer organization, Adda, offer a nationally aggregated salary planning tool for municipalities and regions across the country.
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Article
Can data sharing lead to cancer discoveries?Clinical trials can bring new drugs – and new hope – to the market for cancer patients. Now, a new data sharing platform for clinical trial data brings even more hope.
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Article
How do free-to-play video games earn big profits?How does the industry leader of free-to-play, massively multiplayer online games scale its customer intelligence and analytics efforts to thousands of models and terabytes of data a day? With industrialized modeling from SAS.
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Article
Streaming data: The ins and outs of this technology buzzwordLearn what streaming data is, why it matters to your business and how it relates to big data, event stream processing, data management and the IoT.
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Article
Inside sports analytics: Ten lessons for business leadersPost "Moneyball" many sports teams take a highly analytical approach to winning, and there are several important lessons that businesses can learn. These 10 tips come from research Thomas H. Davenport conducted on more than 25 professional teams.
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Customer Story
Building a culture of analytics empowers university to lead as an educational enterpriseFrom enrollment to graduation, the University of Texas at Arlington uses SAS Analytics for Education on Amazon Web Services to aid in analysis supporting student success and campus strategic decision making.
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Webinar
Getting Started With Geo Analysis in SAS® Visual AnalyticsSeeing is believing. Learn the geo analysis capabilities available in SAS Visual Analytics, available out of the box and through Esri integration.
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Customer Story
Predicting energy production with advanced analyticsSPG Dry Cooling uses advanced analytics from SAS to analyze the performance of its air-cooled condensers, enabling power plants to run more efficiently, improve maintenance planning and better forecast energy production.
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Analyst Report
Gartner positions SAS as a Leader in the Magic Quadrant for Data Science and Machine Learning Platforms, Q1 2021Gartner positions SAS as a Leader in the Magic Quadrant for Data Science and Machine Learning Platforms for the eighth consecutive year.
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Customer Story
Boosting institutional research with data governance and self-service reportingThe University of Idaho invests in SAS to give administrators access to trusted, insight-rich data.
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Article
Seven tips for creating a self-service BI governance strategySelf-service BI and IT governance – sometimes the two seem at odds. Can they coexist peacefully? Live happily ever after? TDWI thinks so. They offer seven tips for creating a strategy that works for both.
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Article
Amplify your data career with analyticsIf you're interested in a career in analytics, you'll need to consider if you have the temperament to match. Discover the questions you need to ask yourself, the first steps to set you on the right path and obstacles to avoid.
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Series
Women in Analytics: Susan Weidner, IntrinsiQ Specialty SolutionsPractical advice for women interested in pursuing a career in analytics. Mentors were key for Weidner, now a Senior VP at IntrinsiQ Specialty Solutions.
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Series
Women in analytics: Susan Thomas, GM FinancialWhen Susan Thomas graduated with a technical degree in the 80s, everyone assumed she'd teach. Instead, she became a coder and programmer.
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Video
How machine learning can provide customers with more relevant offersIn this video, industry influencer Daniel Newman offers his perspective on ways machine learning can be used to enhance customer experiences.
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Customer Story
Using artificial intelligence to better engage with customersDaiwa Securities uses analytics and machine learning from SAS to better meet customer needs.
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Customer Story
Personalization is key in telecommunications. And analytics the natural solution.Telenor Norway uses SAS Analytics to enhance business decisions and continuously adapt to customers’ needs.
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Customer Story
Ensuring mental health patient safety during a global pandemicSAS delivers dashboard to monitor COVID-19 in the Copenhagen Regional Psychiatric Centers.
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Interview
Data visualization: A wise investment in your big data futureData visualization technologies can help the practice of data-driven decision making really take hold. But putting data visualization software in the hands of business users? Is it crazy – or crazy smart?
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Article
Student growth measures show the way to educational successStudent test scores don’t tell the whole story about how students are performing. Educators are finding new ways to measure progress.
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Video
Tips for hiring and managing data scientistsIs it time to hire a data scientist? What skills should you look for? John Taylor leads a team of data scientists and shares his top tips in this short video.
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Series
Meet the data scientist: Daymond LingDaymond Ling believes the right personal traits are more important than technical skills when it comes to being a successful data scientist.
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Series
Meet the data scientist: Colin NugterenData scientist and CAO Colin Nugteren says while every day is different, one thing remains the same. He ends each day with SAS® Visual Analytics.
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Article
Bringing data to the streamHow much do we know about fresh water systems and the dynamic nature of streams and rivers? Find out how one data scientist turned his fascination with streams and rivers into a career.
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Interview
How does one of the largest cities in the world use data for social good? From data privacy to data quality, what are the challenges in using data for social good, and how does one large organization in New York City address them? Hear from a research scientist at the Center for Innovation through Data Intelligence about the data they have, the questions they ask of it, and the data they’d like to see in the future.
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Article
When it matters: Safeguarding your organization from the insideWith evolving threats, fraud detection technologies have to be flexible and nimble, and automated risk detection is a crucial component of decision advantage.
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Article
Detect and prevent banking application fraudSince credit fraud often starts with a falsified application, it makes sense to have analytics-driven tools in place to detect fraud from the earliest point and across the life of the account.
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Article
Understanding data in motionLearn how to analyze fast-moving data streams on the fly with event stream processing.
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Article
Making sense of streaming data in the Internet of ThingsThe Internet of Things has changed our lives forever. Read about how streaming data in IoT works, and why it has caused such a shift in the analytics world.
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Article
Sensing a disturbance in the dataAs IoT data unites with event stream processing (ESP), these combined forces will automatically sense data pattern deviations and trigger immediate response.
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Article
Analytics for all, all in one placeFrom Python to R and SAS to Spark, bring all of your analytics packages together with one trusted platform for analytics governance.
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Article
The future of embedded analyticsYou can find embedded analytics in fraud detection systems, cybersecurity solutions and many other areas. Learn how the use of embedded analytics is evolving.
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Article
Top 10 best practices for next-gen analytics TDWI's Fern Halper shares 10 ways to graduate from reports and dashboards and advance to big data visualization and predictive analytics.
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Article
Governed analytics and discovery: Balancing business user and IT needsTDWI provides seven steps for balancing IT governance needs with the expanding use of self-service BI and data discovery tools.
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Article
Using Hadoop as an Analytics CatalystLearn how to get the most out of Hadoop by developing a sound strategy for analyzing data in this new storage environment.
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Article
Introduction to machine learning: Five things the quants wish we knewMachine learning is gaining momentum thanks to bigger, more complex data sets. How does it work? Kimberly Nevala from SAS Best Practices explains what it is by focusing on what it isn't.
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Article
How Walmart makes data work for its customersTips from the world's largest retailer on building an infrastructure that makes data work for its 240 million customers a week.
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Video
UPS loves logistics and analyticsEver thought about what backs the intricate sorting, delivery and route process behind your receipt of a UPS package? See how the package delivery company moves from descriptive to predictive to prescriptive analytics in this video.
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Article
Is your data too big to visualize?Use these tips to find new ways to look at big data, so you can quickly collapse and condense the results in an intuitive fashion.
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Interview
5 questions about open analytics Learn how one analytics team uses a combination of open source and enterprise analytics to find innovative solutions to complex problems.
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Article
How openness can supercharge event stream analyticsWhat does openness do for event stream analytics? David Loshin shows how it helps you speed and govern the full streaming analytics life cycle.
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Article
Five ways to approach analytics differentlyGo beyond the conventional, the insane and the dabbling. Here are 5 ways to rethink how you do analytics.
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Article
Five questions to help bridge the analytics gapEveryone is turning to analytics for a competitive edge. But the real advantage is in using analytics as a tool for exploration and innovation.
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Interview
What’s powering the digital economy? The analytics economy. From the digital economy to the app economy, technology is changing the way we do business and manage resources. Find out how the analytics economy can help you make the most of your data resources.
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Article
Big data in educationA recent MIT Sloan Management report highlights how businesses are using analytics as a source of innovation – so are universities, says SAS' Georgia Mariani.
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Article
The advanatges of an analytics cultureGen. Colin Powell and SAS experts focus on the topic of culture and how to change an organization’s DNA to meet the challenges of this brave, new analytics world.
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Article
Big data isn’t just for big businesses Midsize businesses are taking advantage of big data with data visualization. Here are five tips for getting started.
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Article
Operationalizing analytics: 4 ways banks are conquering the infamous ‘last mile’Here are four examples across the banking industry that show how these leading organizations followed a clearly defined path to conquer the infamous 'last mile' of analytics.
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Article
Exploring the sun with big dataResearchers working for NASA are using automatic, exploratory and visual analysis of big data to help understand the mysteries of our universe.
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Article
A guide to machine learning algorithms and their applicationsDo you know the difference between supervised and unsupervised learning? How about the difference between decision trees and forests? Or when to use a support vector algorithm? Get all the answers here.
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Article
4 strategies that will change your approach to fraud detectionTechnology advances are giving financial institutions a better arsenal than ever for fraud detection. Take a look at four ways to turbocharge your defenses.
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Article
From Apollo to AI: A new era of American explorationAs we celebrate the 50th anniversary of the Apollo 11 mission, what’s the next frontier for American Innovation? It’s available now, from our desks and waits for us to unlock its potential.
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Article
Applying technology to ensure voter integrity in electionsVoter integrity is becoming a serious concern for many elections. Recent disclosures of foreign influence campaigns using social media highlight the potential impact on the integrity of the democratic process. In monitoring your systems, technology can identify both legitimate and fraudulent activity; the balancing act is to minimize the impact on legitimate activity while preventing acts of cyber-criminals and fraudsters.
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Article
How to drill a better hole with analyticsFrom drilling holes to preventing health care fraud, learn about some of the new technologies SAS has patented with IoT and machine learning technologies.
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Article
趨勢觀察／保險業接軌IFRS17 把握數位轉型契機國際會計準則IFRS17即將於2023年生效，台灣預計於2026年上路，儘管距今仍約有五年的準備時間，但由於涉及的準則要求、財報的大幅變動，以及細緻的資料準備，造就保險公司不僅需要以「分組、模組化」方式管理保險合約，更要在有限的時間內實現每月的報告內容。
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Webinar
How Do I Migrate SAS® Event Stream Processing Workloads to Microsoft Azure?Learn how SAS and Microsoft work together to seamlessly migrate SAS Event Stream Processing workloads to Microsoft Azure.
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Webinar
SAS® Viya® and the cloud: How SAS is changing the game it inventedJoin this webinar to learn how to make the most of cloud migration with SAS Viya.
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Article
Super-charge your fraud detection techniquesPreview a white paper by the International Institute for Analytics on how to evolve the fraud function from a set of fraud detection techniques to a cohesive, continuously improving system.
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Article
9 questions on in-memory analyticsWith in-memory analytics, data is stored on the disk but read into memory for faster analytical processing. What does this mean for your business? And how can you benefit? Find out the answers to these and other questions.
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Article
IIA research identifies barriers to business intelligence and analytics adoptionFind out what the biggest barriers are to business intelligence and analytics adoption and how to overcome them.
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Article
Analytics for prescription drug monitoring: How to better identify opioid abusePrescription drug monitoring programs (PDMPs) are a great start in combating abuse of prescription drugs, but they could be doing much more. Better data and analytics can inform better treatment protocols, provider education and policy decisions – and save lives.
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Article
Improve child welfare through analyticsWith tremendous potential for child welfare agencies to use data and analytics to prevent child abuse and improve outcomes for children and families, child welfare advocates discuss the benefits of using data and establishing a data-driven culture to advance practice and policy.
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Series
Women in analytics: Elisa Gois, MGM ResortsElisa Gois, Chief Analytics Officer for MGM Resorts, went from social work to the C-suite. Here are her top four tips for a successful career in analytics.
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Case Study
Thwarting disruption with strategic investments in innovationNational Australia Bank turns to innovative strategies, like hackathons, to find new solutions to emerging challenges.
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Article
Location intelligence: Adding geospatial context to BI Get tips for implementing a location intelligence data strategy from industry thought leader and data explorer, Jen Underwood.
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Article
Big data in government: How data and analytics power public programsBig data generated by government and private sources coupled with analytics has become a crucial component for a lot of public-sector work. Why? Because using analytics can improve outcomes of public programs.
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Article
Twelve questions to ask your data visualization software vendorIdentify which data visualization vendor’s applications, support models, deployment options and technology platforms align with the goals of your project.
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Series
Use education dashboards to publicize the value of analyticsHow can education institutions show the effectiveness of their analytics and visualizations? Think about publicizing your key dashboards.
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Interview
The University of Alabama makes better decisions through education analyticsAt the University of Alabama, the Office of Institutional Research and Assessments uses analytics and data visualizations to uncover better student outcomes.
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Article
Stopping the Zika virus: The potential of big data, analyticsHow do you stop global outbreaks? The answer may be in the data about the disease and how it spreads.
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Article
Are you good at scoring?Credit scoring is the foundation for evaluating clients who apply for a loan (or other types of exposure for the bank). It is not unusual for it to take up to 12 months to build and deploy a new credit scoring model. Reforming the process will help minimize losses, increase earnings and reduce operational risk.
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Article
Three C’s of the connected customer in the IoTTo optimize the connected customer experience, Blue Hill Research says organizations should build an IoT model based on three key features.
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Article
The OODA LoopApplying the military’s OODA Loop (observation, orientation, decision and action) to data helps organizations decide and act more quickly. That equals victory in today’s business wars.
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Article
10 ways analytics can make your city smarter From child welfare to transportation, read 10 examples of analytics being used to solve problems or simplify tasks for government organizations.
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Article
Smart cities, smart energy solutions – thanks to the IoTFind out how Envision America and CPS Energy are using the IoT and analytics to make cities smarter and transform energy programs.
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Article
Machine learning and artificial intelligence in a brave new worldWhat is the interplay between man and machine in a brave new world with AI?
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Article
Wanted: AI leadersDo you have what it takes to be an AI leader? In this growing field, people skills, innovation and ethics are more important than expertise in artificial intelligence technologies.
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Series
A culture of evidenceTransforming US community colleges starts with analyzing the data that you have. Learn how leading schools are building an analytics ecosystem.
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Article
From lab to lifeOnce you've created your analytical model, you need to put it to use. Here are tips from finance industry experts to get your models in the hands of users.
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Article
What coaching a new driver and developing an analytics culture have in commonEight lessons that apply equally to nurturing an organization's analytics culture and instructing a young driver how to safely navigate the open road.
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Article
Lessons from the trackDoes your organization have an analytics DNA? Here's a baker's dozen of tips for building a healthy, happy data-driven enterprise that can go the distance.
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Article
The intersection of modern IT and advanced analyticsThornton May explains how IT groups are helping the business use analytics to adapt to the C-suite's need for a modern, agile and results-focused IT function.
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Series
Data drives destinyUS community colleges need to train 11 million more skilled workers by 2025. Karen Stout, CEO, Achieving the Dream, explains how data can make it happen.
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Series
Data drives destinyUS community colleges need to train 11 million more skilled workers by 2025. Karen Stout, CEO, Achieving the Dream, explains how data can make it happen.
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Series
Data drives destinyUS community colleges need to train 11 million more skilled workers by 2025. Karen Stout, CEO, Achieving the Dream, explains how data can make it happen.
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Interview
Using data to control unruly hotel pricingKelly McGuire of SAS has packaged everything hoteliers need to optimize pricing and maximize revenue into one neat book.
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Article
Demand forecasting and the 7 habits of effective retailersWhy do some retailers consistently outperform others? Retail Systems Research reveals some key reasons and offers essential advice for those who want to become (or continue to be) winners.
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