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SAS is the only vendor named a leader in the Magic Quadrant for Data Science and Machine Learning Platforms for all eight years of its existence.
Gartner Magic Quadrant for Data Science & Machine Learning Platforms
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SAS offers enterprise-grade platform capabilities and support, coupled with a robust vision for key market trends, including composite AI, decision intelligence and MLOps.
A business-oriented approach to drive measurable value rapidly from machine learning and artificial intelligence.
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The biggest problem we've faced is the perception of SAS products being legacy vs. the cloud native offerings. This perception is not grounded in reality based on our experience.
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- E-BOOK Your journey to a GenAI future: A strategic path to success in health careGenAI is at the forefront of global health care innovation and is here to stay. Health care organizations at large are leaning into the promise of advanced technologies with the intent to streamline operations and deliver stronger health outcomes for patients all over the world. But in a highly regulated, protected and data-sensitive sector, how is this technology being used? And how will health care organizations keep patient data safe while implementing cutting-edge technologies like GenAI? In this report, you’ll discover: • How health care organizations are approaching GenAI adoption compared with other sectors. • The specific areas where health care already sees GenAI drive results – and where they’re still navigating uncertainty. • How GenAI investments in health care stack up against other sectors and where these industries are placing their bets. • Practical strategies to overcome the challenges of GenAI implementation, ensuring you maximize your return on investment (ROI) and stay ahead of the curve.
- E-BOOK Public procurement integrity at riskFraud, waste and abuse (FWA) take many forms, from duplicate invoices, ghost vendors and fake invoices to overbilling billing for goods. This e-book explores the procure-to-pay lifecycle, obstacles to spotting FWA, how to strengthen government procurement, hat's possible in the real world and how a data and AI-driven approach leads to greater productivity.
- 분석 보고서 SAS, 2023년 2분기 The Forester Wave™: AI 기반 의사결정 플랫폼 부문 리더로 선정되다2023년 2분기 Forrester Wave™: AI 기반 의사결정 플랫폼 보고서에서 SAS는 의사결정 과정에 따라 세계 최고 수준의 분석 기술을 원활하게 통합했다고 평가받았습니다.
- E-BOOK The Streaming Analytics Scaries: What they are and how to get over themThis e-book addresses the top five factors holding back most asset-intensive companies when it comes to implementing and taking advantage of streaming analytics. Read it, put the scaries to rest, and start delivering more value and insight in ways few in your organization may have ever thought possible.
- E-BOOK Your journey to a GenAI future: A strategic path to success in life sciences and pharmaAs generative AI continues to make waves across both headlines and boardrooms, the life sciences industry is unlocking new possibilities that could reshape the future. This sector, known for managing vast, intricate data sets and safeguarding sensitive patient information, is poised to harness GenAI for groundbreaking advancements. In life sciences, GenAI isn’t just a buzzword – it’s a game changer with the potential to revolutionize innovation, productivity and patient care. Our latest insights on GenAI come from a comprehensive survey of 1,600 organizations across the globe, offering a deep dive into how different industries are approaching GenAI. Specifically, we focused on the responses of 237 senior life sciences leaders who are at the forefront of shaping GenAI, data and analytics strategy. In this report, you’ll discover: • How the life sciences industry is leading or lagging in GenAI adoption compared with other sectors. • The specific areas where the industry is already seeing GenAI drive results – and where it is still navigating uncertainty. • How GenAI investments in life sciences stack up against other sectors and where the industry is placing its bets. • Practical strategies to overcome the challenges of GenAI implementation, ensuring you maximize your return on investment (ROI) and stay ahead of the curve.
- 분석 보고서 IDC MarketScape: Worldwide Machine Learning Operations Platforms 2024
- E-BOOK Real-Time Hyperpersonalization in HospitalityIn this era where one-size-fits-all approaches are becoming obsolete, real-time personalization is transforming the guest experience. By using advanced predictive analytics and machine learning, cruise operators can now craft and optimize next-best offers tailored to each guest's unique preferences and behaviors. This cutting-edge approach enhances every aspect of the journey, from dining and entertainment to shore excursions and onboard shopping. This e-book explores how modern cruise lines are harnessing the power of real-time data processing and advanced analytics to create seamless, personalized experiences. You'll learn more about Norwegian Cruise Line's success story, exploring how technologies like SAS Event Stream Processing and SAS Machine Learning can turn vast amounts of data into actionable insights, setting new standards for personalization to not only elevate guest satisfaction but also drive significant business value.
- 백서 Revealing the paths to 2040: four possible scenarios for insuranceFrom extreme weather events and natural disasters to geopolitical volatility and shifting demographics, insurers face increasing numbers and varieties of disruptions and uncertainties. At the same time, longstanding risk models are upended by rapid technological advances and evolving market needs. Opportunities abound – but the future is unclear. This Economist Impact report, informed by expert interviews and an analysis of megatrends, presents insurers with four possible scenarios for the world in 2040. Each path forward describes a potential future, reflecting two main drivers of change: – Pace of technological evolution. – Level of global cooperation. How will insurance evolve? Challenge your assumptions as you delve into these scenarios, considering along the way how you should prepare.
- E-BOOK A Comprehensive Approach to Trustworthy Data and AI GovernanceAI is revolutionizing human life and unlocking a whole new world of innovation. As AI becomes more prevalent, it will affect nearly every aspect of society from our professional to personal lives. Organizations that can demonstrate responsible and ethical use of AI are more likely to be commercially successful. This is where Trustworthy AI – a system designed to ensure safety, reliability and ethical practices – can help. Trustworthy AI is an AI system designed, developed and deployed with human-centricity in mind. These systems incorporate appropriate levels of accountability, inclusivity, transparency, completeness and robustness to promote human agency and prevent human harm. In this eBook you will discover: The business need for ethics in AI Why you should embrace Trustworthy AI How to establish Trustworthy AI governance The 6 SAS principles to guide your Trustworthy AI strategy How the SAS Data Ethics Practice supports Trustworthy AI
- E-BOOK Five reasons developers hit a productivity wall – and what to do about itDevelopers, when you hit a wall, you hit it hard. And it’s often the same five obstacles getting in the way of productivity over and over again. Do these issues sound familiar? “I don’t have my own space to experiment with models before sharing them.” “It takes too long to develop a model.” “The infrastructure we need costs too much.” “It’s too hard to keep track of version updates.” “Everybody’s getting different results from the same data sets.” This e-book from SAS and AWS takes a closer look at each of these obstacles and how you can overcome them with the help of SAS® Viya® Workbench. Make productivity blockers a thing of the past.
- 백서 Solving the public services productivity puzzleIn Global Government Forum’s survey, 91% of public service respondents said they face a productivity challenge, with 56% characterizing it as significant or very significant.
- E-BOOK Data-driven health careThe use of technology and data in the health care ecosystem continues to evolve. An extreme emphasis has been placed on digital health, AI, and the need for interoperability across various stakeholders in the healthcare ecosystem. Interoperability of different health care systems and devices to seamlessly exchange information is crucial to provide stronger health outcomes and patient engagement opportunities, enhance patient safety and operational efficiency, and reduce duplicated effort and potential for error. Discover how health care powered by data and technology will be the springboard to the future.
- 분석 보고서 2024 Gartner® Magic Quadrant™ 데이터 사이언스 및 머신러닝 부문
- E-BOOK Marketers and GenAI: Diving Into the Shallow EndMarketers are leading in GenAI use, but it’s only surface level. What’s needed to take the next step?
- E-BOOK Your journey to a GenAI future: An insurer’s strategic path to successThe insurance industry is rapidly embracing generative AI technology, recognizing its extraordinary capabilities through high rates of personal and organizational usage. Overwhelmingly, insurance companies around the globe plan to invest in GenAI over the next year, and most have a dedicated budget in place. Yet many lack sufficient budgeting for GenAI governance, and most governance frameworks are still in development. Recent research compiled survey results from 1,600 global organizations across a wide range of sectors. In this report, we drilled down to the 236 respondents who are senior decision makers in GenAI strategy or data analytics in the insurance sector. Read the results to understand insurance firms’ unique perspectives on GenAI – including how the industry compares to other sectors, how you can proactively prepare for implementation challenges, what the most promising business opportunities are, and which issues are the top concerns.
- 백서 From Data to Decision: Increasing AI Productivity with SAS ViyaFuturum is running benchmark studies on productivity advantages of SAS vs. opensource and other vendors. This Futurum Lab Report will be part of the Just the Facts campaign. PLN_27165
- E-BOOK Your journey to a GenAI future: A strategic path to success for governmentAs generative AI (GenAI) accelerates into the mainstream, organizations of every kind are seeing the transformative potential of the technology. Many government organizations handle huge data sets, hold sensitive personal information and synthesize details about entire populations. For government, GenAI could create a paradigm shift in productivity and capability. Our research findings are based on a new survey of 1,600 organizations from a wide range of sectors worldwide. To better understand the unique perspectives that government organizations have about GenAI, we examined the responses from the 237 senior leaders who are responsible for making decisions on GenAI strategy or data analytics. This report uncovers: • How governments are implementing GenAI compared to other sectors. • Which areas governments are already seeing the benefits of GenAI and where they feel less confident. • How government investment stacks up against other sectors and where it’s being spent. • How you can proactively prepare for the challenges of implementing GenAI to ensure a strong ROI
- 분석 보고서 IDC MarketScape: Worldwide Decision Intelligence 2024
- 고객 사례 Conservation efforts take flight with analyticsThe Royal Society for the Protection of Birds uses SAS to help safeguard wildlife.
- 고객 사례 One airport operator is making every journey personal for passengersiGA Istanbul Airport creates personalized customer journeys using SAS® MarTech solutions
- 분석 보고서 ARC View: Industrial-grade AI: Transforming Data into Insights and OutcomesThis ARC View report explains how organizations can not only start realizing immediate returns from their Industrial AI initiatives, but also ensure that their investments remain future-proof.
- 분석 보고서 SAS is a Leader in The Forrester Wave™: AI / ML Platforms, Q3 2024
- 고객 사례 Quality forecasting for grocers, quality products for customersCalimax elevates product quality and availability with SAS for retail demand planning.
- 고객 사례 Leading cruise line personalizes passengers’ onboard experience in real timeNorwegian Cruise Line Holdings uses SAS to transform onboard experiences for passengers with prompt personalized communications
- 고객 사례 Making prisons and communities safer with data visualizationIowa Department of Corrections uses SAS Viya on SAS Cloud to better manage supervised populations, make informed decisions and improve public safety.
- 고객 사례 Protecting nature with dollars and senseThe Nature Conservancy uses SAS Customer Intelligence 360 to modernize its marketing strategy and maximize donations for a more sustainable planet.
- 고객 사례 Advanced analytics in the cloud helps international biopharmaceutical group enhance operations and efficiencyChiesi Group uses SAS Viya to analyze information in a collaborative platform, streamline processes and efficiently deliver trial results to regulatory authorities.
- 고객 사례 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.
- 고객 사례 Fintech company’s rapid growth leads to consistent cloud strategyauxmoney saves resources, gains flexibility and scalability with risk management in the SAS Cloud hosted on Microsoft Azure.
- E-BOOK Public service of the futureNever before have governments been asked to do so much, so fast, while facing considerable pressures – rising customer service expectations, fiscal constraints, overstretched organizations and workforce fatigue. Technologies like AI and generative AI are shifting the limits of what is possible – enabling fresh ideas about how public sector organizations can deliver services and helping to rethink what services are offered. From national to local government, law enforcement to health and defense to education, great strides are being made to deliver better outcomes and experiences. In this e-book, you will discover six considerations for improving productivity and ensuring public servants have the time to focus on what matters. Here's a sneak peek: · How do different demographics engage with public services and how do you serve everyone? · Are traditional processes meeting your organization’s needs? Would updating and modernizing help you achieve increased operational efficiency? · How AI is a catalyst for organizational transformation.
- 백서 Pioneering Ethical AI: The Crucial Role of Property and Casualty InsurersInsurers have long been global leaders in addressing risks and protecting people and businesses. As artificial intelligence continues to revolutionize how business gets done, it is redefining how insurers can deliver on their promises. Read this paper to learn from industry veterans and AI experts alike about: • The state of AI regulations globally. • The multifaceted role insurers can play in developing AI ethics. • Why insurers are uniquely qualified to use AI (and GenAI) – and how they’re using these technologies today. • An approach to an ethical AI framework that any insurer can follow to establish their own AI narrative.
- 고객 사례 Advanced analytics empowers businesses with data-driven decisionsThe Hang Seng University of Hong Kong uses SAS Viya to nurture next-generation analytical talent and aid small to mid-size businesses.
- E-BOOK On the Road to Accelerating Claims AutomationMore than ever, insurance companies need to provide customers with seamless interactions that save them time, minimize hassle, and make them feel seen, understood, and cared for. Many are also exploring the use of AI for claims prevention – for example, by creating new risk mitigation services. All of this requires investment in digital technologies that work together to enable intuitive, Amazon-like customer experiences. This ebook explores how insurers can make the leap to digitally transformed, intelligent claims processes that customers love and increase operational efficiency and reduce costs.
- 웨비나 AI in Health Care: Enhance Clinical and Operational Decision MakingAI is revolutionizing the health care sector. Join SAS and Microsoft to explore innovative AI solutions for better patient outcomes and efficient care delivery.
- 고객 사례 Preparing the workforce of tomorrow with innovative data science educationHow North-West University’s strategic partnership with SAS is transforming South Africa's workforce and setting a new standard for global analytics training
- 백서 How to realize value from cloud analytics faster — and with less cost and riskIn just a few years’ time, analytic and AI models have gone from being on-premises “pet projects” and proofs of concept to high-volume mission-critical technologies developed and deployed in the cloud to support business decisions at scale. But as Foundry’s survey reveals, most IT departments haven’t evolved how they will support and enable the new world of cloud analytics at scale.
- E-BOOK Enabling trusted AI and data-driven decisions at scaleDiscover how successful organizations build a coherent analytics and AI strategy to differentiate themselves and seize a competitive advantage.
- 백서 Top 5 insurance problems – and AI isn’t one of themAs all players in the insurance ecosystem know – insurers to reinsurers, GSIs and regulators – the industry faces a multitude of daunting business problems today. In this paper, we discuss five of the most pressing insurance problems, how they affect communities around the world, and obstacles that can get in the way of solving those challenges. Read the paper to learn how insurers can use AI to identify and solve far-reaching issues. And learn why it will take the entire insurance ecosystem to course correct on business results, climate risk, AI safety and governance, and more.
- 고객 사례 Azure 환경에서 SAS Viya를 통해 디지털 혁신을 추구하는 그리스의 선도 금융 기업Leading Greek financial institution pursues digital transformation backed by advanced analytics to become the bank of choice for businesses and private individuals.
- 고객 사례 Finland’s top retail bank applies AI to improve customer service and credit scoringS-Bank provides better customer service and faster, more accurate loan processing time using SAS Viya on Azure.
- 고객 사례 Complex telco product portfolio, maximum agility thanks to intelligent decisioningGerman telco provider 1&1 works with SAS and partners to improve offer management, accelerate time to market and enhance the customer experience.
- 고객 사례 Transforming the consumer banking experience through advanced analyticsCIMB Singapore uses SAS Viya to enhance business operations and keep pace with changing customer needs.
- 고객 사례 Building reliability in riskBanca Mediolanum uses SAS Viya to develop high-performing, reliable credit scoring models.
- 고객 사례 It’s all in the research: Using AI to solve issues in health careWith the University of Alberta's new health data management and analysis platform, DARC, it can now increase research capacity and provide high-performance computing and data storage in a secure environment. SAS provided the university software to help make its platform thrive amidst a global pandemic.
- 고객 사례 Jakarta Smart City uses IoT analytics to better serve residentsJakarta and SAS team up to create an award-winning approach to public services and disaster management.
- 고객 사례 Improving data collection and modeling to accelerate predictive medicine effortsDompé farmaceutici uses SAS for predictive analytics and quantitative disease modeling.
- 고객 사례 Revolutionizing marketing campaigns with AIAlliant relies on machine learning to create qualified marketing audiences for its clients.
- E-BOOK Intelligent decisioning in governmentGovernments can incorporate AI-driven decisioning into existing business processes to take advantage of digital transformation benefits. Through automated processes, deeper insights and the ability to act quickly, governments can innovate service delivery, drive efficiency and help build a better future.
- E-BOOK Government navigating an uncertain worldHow governments can harness data, advanced analytics, and trustworthy AI to prepare for the unexpected—and respond faster to protect and improve citizens’ lives.
- 백서 How will generative AI influence forecasting software?Delve into what potential applications of AI, particularly large language models (LLMs) within a forecasting support system (FSS), along with identifying obstacles to the widespread adoption of these technologies.
- 백서 Generative AI in Health Care: Opportunities and CautionsLearn how GenAI will affect all aspects of health care, from cost containment to patient care., and the importance for organizations to recognize both the potential and the limits of this new technology and be alert to how it’s being used to perpetrate fraud.
- 고객 사례 Accelerating stress testing in the cloudIntesa Sanpaolo enhances efficiency and meets stress-testing requirements six times faster with SAS Viya.
- 고객 사례 Banking on the power of data: The analytical approach to trust, performance and productivityIntesa Sanpaolo promotes a data-driven culture with support from SAS analytics.
- 백서 Ready to see results from your actuarial investments?More than 88% of actuaries say SAS has improved their way of working. Benefits include reduced operational costs, improved scalability of the actuarial process, portfolio optimization and faster premium deployment. Want to learn more? Check out four scenarios we developed to illustrate the benefits insurers could potentially achieve based on their company size, structure and other variables. These examples represent potential benefits only and do not guarantee any certain result or compliance goal.
- 고객 사례 Award-winning bank’s data-driven strategy boosts productivity, efficiency and customer centricityAn ‘analytics for all’ approach helps Banca Intesa Beograd foster informed decision making, innovation and sustainable growth.
- 고객 사례 AI helps students graduate from collegeHillsborough (FL) Community College uses SAS® Visual Analytics to determine what students need to complete their degrees
- 분석 보고서 SAS는 The Forrester Wave ™ 로부터 2020 년 3 분기 고객 분석 기술 리더로 선정되었습니다.고객이 여정 중 어떤 과정이던간에 매력적인 맞춤형 차세대 경험을 만들게 하는 SAS® Customer Intelligence 360이 The Forrester Wave의 리더로 선정되었습니다.
- E-BOOK Detect and halt risky payments across the life sciences supply chainCut fraud, waste, error and abuse with a data-driven approach to payment integrity It’s estimated that 4.57% of the total annual procurement spending in the private sector is lost to fraud and error. What would be the impact to life sciences organizations if you could stop that flow of cash out of the business? Even for smaller organizations, improving payment integrity could free up significant capital for strategic investments. In R&D, for example, it could free up funds for strategic acquisitions or returning cash to shareholders. In this e-book, we’ll look at how a smarter, more data-driven approach to payment integrity helps life sciences companies gain faster and deeper visibility into their spending across R&D, manufacturing and distribution. A data-driven approach also helps highlight potential anomalies in real time for investigation by human experts.
- 고객 사례 Funding for groundbreaking childhood cancer research fueled by analyticsThe Kids’ Cancer Project uses SAS to improve fundraising efforts for vital cancer research.
- 고객 사례 Making faster, smarter credit decisions while elevating customer experienceAutomated credit risk management process puts ABBANK at the forefront of Vietnam’s credit revolution.
- 고객 사례 Modern, real-time marketing grew membership and incremental sales for leading grocery retailerMigros uses SAS MarTech solutions to personalize customer journeys, optimize campaign strategies and enhance customer engagement.
- 고객 사례 French fintech modernizes its analytics approach with SAS ViyaAs UTWIN’s insurance business grows, SAS Viya enhances efficiency and democratizes analytics among management, business teams and partners.
- 고객 사례 Austrian bank uses integrated risk and carbon calculation engine to steer toward net-zero by 2050Erste Group extends its SAS Solution for Regulatory Capital to help understand and reduce impact of climate change on its portfolios
- 고객 사례 Analytic models spotlight risky loansItaly’s Ministry of Economy and Finance uses advanced analytics on SAS Viya to quickly calculate risk on financial guarantees.
- 고객 사례 분석과 IoT로 홍수를 예측 및 관리하는 스마트 도시미국 노스캐롤라이나 주의 소도시 캐리(Cary)는 SAS 및 Microsoft와 협력하여 홍수로부터 시민을 보호하고, 환경친화적인 개발을 이끌고 있습니다.
- 기사 What are AI hallucinations?Separating fact from AI-generated fiction can be hard. Learn how large language models can fail and lead to AI hallucinations – and discover how to use GenAI responsibly.
- 고객 사례 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.
- E-BOOK Rising Waters and Rapid ResponsesGet an insider’s view of the tools and strategies that some leaders in flood management are already deploying to better protect their citizens, as well as case studies that show how these approaches work in real-world applications.
- E-BOOK The insurance data and AI revolutionInsurers face continual disruptions these days as they respond to price sensitivity, the push for sustainable practices, evolving regulations, climate change issues and all types of heightened risks. How should they respond?
- 기사 Concussion: Journalist crunches the numbers and breaks a scandalHow Pulitzer Prize-nominated journalist Alan Schwarz used his stats background to achieve the most remarkable feat in sports journalism history.
- 기사 Turning the analytical talent gap into an analytical talent dividendHow important is analytical talent to your organization? If you’re aiming to become data-driven and turn data into insights, make it a top priority.
- 기사 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.
- 분석 보고서 SAS named a Challenger in Gartner® Magic Quadrant™ for Augmented Data Quality SolutionsSAS named a Challenger in Gartner® Magic Quadrant™ for Augmented Data Quality Solutions.
- 웨비나 Real-Time Predictive Analytics: Uncovering Opportunities and Barriers at the Speed of Data FlowJoin us as we discuss how SAS® Event Stream Processing can help organizations uncover data anomalies instantly, before trouble starts or opportunity passes
- 분석 보고서 IDC Spotlight: Looking Beyond the AI Model to Improve the Value of Computer Vision in Manufacturing OperationsThis IDC Spotlight explores the increasing adoption of computer vision (CV) by manufacturers, and how in order to succeed, they must focus on more than just model development, validation and deployment. SAS delivers a comprehensive portfolio of tools, software and resources – integrated into SAS Viya – to develop and deploy CV solutions.
- 기사 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.
- 기사 Equifax uses trended data to better qualify loan applicantsMachine learning for credit scoring has helped Equifax analyze consumer data over time to determine which borrowers are trending in a positive direction and develop a more accurate measure than credit scores.
- 기사 5 machine learning mistakes and how to avoid themMachine learning is not magic. It presents many of the same challenges as other analytics methods. Learn how to overcome those challenges and incorporate new techniques into your analytics strategy.
- 기사 Understanding data in motionLearn how to analyze fast-moving data streams on the fly with event stream processing.
- 기사 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.
- 기사 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.
- 기사 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 weekly customers.
- 시리즈 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.
- 기사 Big data and global developmentFind out how organizations are using online and mobile data to make the world a better place. The United Nation's Global Pulse team defines global development and explains how big data can help improve human welfare.
- 기사 Resilience in the face of unpredictabilityUnpredictability can “shatter and reshape” a society. And in these unpredictable times, it is important to remain resilient and be prepared to bounce back. This article explores what it truly means to be resilient, how to build it, and how analytics can help you act when your resilience is tested.
- 기사 How researchers are fighting cancer with analyticsThanks partly to analytics, cancer survival rates are higher, treatments are more personalized and cancer research continues to expand.
- 기사 5 leadership tips from a four-star generalGeneral Michael Hayden, former Director of the CIA, shares what he's learned about managing organizations in times of stress, risk and complexity.
- 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.
- 고객 사례 Changing the data conversation in Ohio schoolsHow the Gallia-Vinton Educational Service Center is transforming education one data conversation at a time
- 고객 사례 Fighting loan application fraud with cutting-edge analyticsBausparkasse Schwäbisch Hall uses SAS® Viya® to identify forged income documents
- 고객 사례 European Banking-as-a-Service leader strengthens its AML/CFT and fraud surveillance system with SASTreezor uses SAS Anti-Money Laundering to stay ahead of emerging risks, improve operational efficiency and expedite investigations.
- 고객 사례 Advanced analytics helps hospital put patients at the heart of improved outcomes San Martino Polyclinic Hospital uses SAS Visual Analytics on SAS Viya for more patient-focused operations and decisions.
- 고객 사례 French national rugby team boosts performance with AI and analyticsThe French Rugby Federation counts on intelligence gleaned from SAS Viya on Microsoft Azure to guide coaching decisions and enhance player performance.
- 고객 사례 Empowering customers to choose more efficient energy consumptionUnlocking the power of data with SAS® helps Repsol journey toward sustainable energy
- 고객 사례 Hyper-personalized offers help consumer finance company elevate the customer experienceHome Credit modernizes its marketing with SAS® Customer Intelligence 360 to increase engagement, boost efficiency and reduce costs
- 고객 사례 고객 사례 Advanced analytics helps policymakers determine how new tax measures would affect citizensAscertaining the ‘winners’ and ‘losers’ of potential tax changes before regulations are implemented.
- 고객 사례 Enhancing road safety with advanced analyticsBelgium’s FPS Justice uses insights from SAS Visual Analytics to crack down on excessive speeding and take more effective action against traffic violators.
- 고객 사례 Automated safety reporting protects hospital patients in NorwayHelse Nord uses SAS to automate its hospitals’ processes and halves their workload.
- 고객 사례 Optimizing cancer patient care with advanced analyticsSAS Viya helps create custom care pathways for Oscar Lambret Center cancer patients.
- 고객 사례 Taking the guesswork out of production planningEuramax uses SAS to prevent production delays
- 고객 사례 Hospitals save time and money with real-time medical device tracking Jan Yperman Hospital uses Blyott and SAS Visual Analytics on SAS Viya to monitor hospital asset locations and ensure optimal purchasing decisions.
- E-BOOK Integrating data. Enhancing decisions. Improving lives. Find out how cloud-based analytics and AI is transforming health care.
- 기사 Analytics leads to lifesaving cancer therapiesA long-shot treatment offers hope to 10-year-old Harrison after he learns the DNA profile of his cancer is resistant to chemo. Find out how data and analytics play a role in cancer research and cancer treatments that are saving lives.
- 고객 사례 Ensuring public transparency and one-stop access to crime data and analysisThe North Carolina Criminal Justice Analysis Center uses SAS Viya on SAS Cloud to improve data accessibility and efficiencies in gathering and reporting state and county criminal justice statistics to stakeholders, policymakers and citizens.
- 고객 사례 Transforming steelmaking through IoT analyticsSSAB improves production efficiency, product quality and maintenance strategies using sensor data, artificial intelligence and advanced analytics.
- 고객 사례 Managing mergers and analytics: Ensuring reliable energy by eliminating riskWhen the Belgian grid operators Eandis, Infrax and Integan merged into Fluvius, the new company turned to SAS for an analytics solution to screen its procurement systems and identify risks at an early stage.
- 기사 A data scientist’s views on data literacyData literacy is a social imperative – and understanding data and data analysis is critical for being a responsible citizen. Get a data scientist and teacher's perspective on the value of having foundational knowledge so you can more easily tell data facts from data fiction.
- 분석 보고서 SAS is a Leader in The Forrester Wave™: Digital Intelligence Platforms, Q4 2022SAS is a Leader in The Forrester Wave™: Digital Intelligence Platforms, Q4 2022.
- 기사 People analytics: Make smarter decisionsWith deep insights gained from people analytics, HR leaders can become trusted, strategic advisers to hiring managers and the executive team.
- 고객 사례 Analytics helps major public health system run efficient programs and improve patient careThe Los Angeles County Department of Health Services relies on advanced analytics from SAS to meet federal regulations, ensure financial viability and better serve a diverse population of more than 10 million people.
- 고객 사례 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.
- 고객 사례 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.
- 고객 사례 World’s largest sports and humanitarian event builds legacy of inclusion with data-driven technologySpecial Olympics World Games Abu Dhabi uses SAS® Analytics and AI solutions to keep athletes safe and fans engaged.
- 고객 사례 SAS를 통해 고객 참여를 활성화하는 호주 최대 이동통신사 TelstraAustralia’s largest telecommunications company relies on SAS Analytics to better understand customers’ needs and develop the products and services they want.
- 기사 Data lineage: Making artificial intelligence smarterLear how data lineage plays a vital role in understanding data, making it a foundational principle of AI.
- 기사 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.
- 분석 보고서 Gartner® Top Strategic Technology Trends for 2024: AI Trust, Risk and Security ManagementLearn why IT leaders must adopt an AI TRiSM to protect their organizations and improve their business outcomes from AI models.
- 분석 보고서 Gartner® Voice of the Customer for Analytics and Business Intelligence PlatformsSAS has been recognized in the 2023 Gartner® Voice of the Customer for Analytics & Business Intelligence Platforms.
- E-BOOK Data at the heart of the gameLearn how the French national team uses SAS Viya to deliver results that propel it to the global forefront of sports technology.
- 기사 The transformational power of evidence-based decision making in health policyState health agencies are under pressure to deliver better health outcomes while minimizing costs. Read how data and analytics are being used to confront our biggest health care challenges head on.
- 기사 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.
- 시리즈 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.
- 기사 10 tips for analytics successDo some crystal-ball gazing with Thornton May, a futurist with some bright ideas on how you and your organization can succeed in all your analytics endeavors.
- 백서 SAS® Product Security FrameworkUnderstand the SAS Product Security Framework and the security protocols and processes that SAS uses.
- 고객 사례 A customer connection is the special ingredientItalian olive oil company Fratelli Carli uses SAS Customer Intelligence 360 to create an integrated, personalized customer experience.
- 백서 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.
- 기사 인공 지능의 인간미글로벌 문제를 해결하기 위해 인공 지능과 인간이 힘을 모으면 어떻게 될까?
- 기사 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.
- 기사 Three reasons reporting and analytics projects fail and how to avoid the pitfallsLearn how to deal with three potential risk areas before you dive into a reporting and analytics project.
- E-BOOK Empower your analytics in the cloudFive use cases for using SAS® Viya® on Microsoft Azure.
- 백서 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.
- 기사 How to work like a disrupterFind out what companies like Netflix, Airbnb, Spotify and Lyft know about analytics that you don't know. Learn how to become technologically and analytically mature just like them.
- 기사 Machine learning and artificial intelligence in a brave new worldWhat is the interplay between man and machine in a brave new world with AI?
- 기사 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.
- 기사 Artificial intelligence, machine learning, deep learning and moreArtificial intelligence, machine learning and deep learning are set to change the way we live and work. How do they relate and how are they changing our world?
- 기사 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.
- 시리즈 데이터 사이언티스트 만나기: Colin Nugteren데이터 사이언티스트 겸 CAO인 Colin Nugteren는 매일매일이 다르지만 한 가지 변하지 않는 것이 있다고 합니다. 바로 SAS® Visual로 하루의 업무를 마치는 것입니다.
- 기사 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.
- 백서 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.
- 기사 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.
- 회견 A brave new world of analyticsMike Frost from SAS explains how a modern analytics platform can help make sense of the new, complex data reality.
- 기사 Could APIs provide advanced analytics for the masses?Find out how APIs could make advanced analytics more prevalent and open up entire new markets to using the predictive capabilities of analytics.
- 기사 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.
- 회견 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.
- 웨비나 From Idea to Action: The Keys to Real-World Evidence and AnalyticsReal-world data is the latest industry buzz, but is it that valuable? Without the power of analytics, it might not be.
- 분석 보고서 IDC MarketScape: Worldwide Responsible Artificial Intelligence for Integrated Financial Crime Management Platforms 2022 Vendor AssessmentLearn why SAS is positioned in the Leaders category in the 2022 IDC MarketScape for worldwide responsible artificial intelligence for integrated financial crime management platforms.
- 기사 Situational awareness guides our responses – routine to crisisMany circumstances call for situational awareness – that is, being mindful of what’s present and happening around you. The COVID-19 pandemic heightened this need, as leaders across industries used analytics and visualization to gain real-time situational awareness and respond with fast, critical decisions.
- 기사 How health care leaders deployed analytics when crisis hitDuring the COVID-19 pandemic, some health care providers were well-positioned to respond to rapid changes in demand. The factor that most distinguished them was that they already had a strong capacity in place for using data to inform decisions. Read about three key takeaways from their experiences.
- 기사 Finding COVID-19 answers with data and analyticsLearn how data plays a role in optimizing hospital resources, understanding disease spread, supply chain forecasting and scientific discoveries.
- 기사 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.
- 분석 보고서 Matrix: Leading Fraud & AML Machine Learning PlatformsSAS is a best-in-class vendor in the most recent Datos Insights report, Matrix: Leading Fraud & AML Machine Learning Platforms.
- 백서 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.
- 기사 Machine learning for beginners and beyondWhether you’re an experienced data scientist or a machine learning beginner, you’ll appreciate these 10 tips for getting started with machine learning.
- 기사 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.
- 백서 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.
- 백서 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.
- 백서 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.
- 백서 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.
- 백서 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.
- 고객 사례 Making buildings – and business – more secure with analytics and AIIndustrial company Comelit Group harnesses the power of SAS Viya 4 to modernize how decisions are made, combining the most successful analytics and AI platform with the flexibility and scalability of the cloud.
- 백서 Performance at Scale: Comparing AI/ML Performance of SAS Viya vs. AlternativesAI/ML Performance Comparison: SAS Viya vs Competitors.
- 기사 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.
- 회견 How does a center of excellence really work?At the Cincinnati Insurance Companies, analytics is bridging the gulf between IT and business units and leading by example to form common measures and objectives.
- 웨비나 Building and Maintaining Data Science TalentHear diverse perspectives on how to address the data science skills shortage through talent development programs, partnerships with academic institutions and more.
- 분석 보고서 SAS Inside Intelligence 2023 ConferenceThis IDC Link focuses on SAS' responsible innovation initiative and the importance of building trust, transparency and information privacy in machine learning and AI life cycle technologies and applications.
- 백서 The road to health equityHow data and analytics contribute to improving outcomes for all.
- 기사 Analytics: A must-have tool for leading the fight on prescription and illicit drug addictionStates and MFCUs now have the analytics tools they need to change the trajectory of the opioid crisis by analyzing data and predicting trouble spots – whether in patients, prescribers, distributors or manufacturers. The OIG Toolkit with free SAS® programming code makes that possible.
- 기사 4 strategies that will change your approach to fraud detection기술의 발전에 힘입어 금융 기관들은 그 어느 때보다 우수한 사기 탐지 기능으로 무장하고 있습니다. 방어망를 대폭 강화할 수 있는 4가지 방법을 소개합니다.
- 기사 Key questions to kick off your data analytics projectsThere’s no single blueprint for starting a data analytics project. Technology expert Phil Simon suggests these 10 questions as a guide.
- 기사 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.
- 기사 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.
- 기사 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.
- 기사 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.
- E-BOOK ModelOps Explained: A Starter’s Guide to Deploying and Managing AI and Analytical ModelsInterviews with analysts at IDC and Gartner, along with survey results from SAS and Omdia, provide guidance on how to overcome the barriers to operationalizing analytics.
- 기사 Why pharmaceutical firms are investing in real-world evidenceTo get a compound or device to market – bench to bedside – may be an eight- ,12- or even 15-year process. Real-world evidence has a critical role at every step, particularly in the clinical trials process.
- 기사 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.
- 기사 Analytics tackles the scourge of human traffickingVictims of human trafficking are all around us. From forced labor to sex work, modern-day slavery thrives in the shadows. Learn why organizations are turning to AI and big data analytics to unveil these crimes and change future trajectories.
- 기사 Become a strategic business partner using analytics in financeCollecting, validating and reporting information is no longer enough for finance professionals – it’s time to transform your role using analytics in finance.
- 시리즈 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.
- 기사 The opportunity of smart grid analyticsWith smart grid analytics, utility companies can control operating costs, improve grid reliability and deliver personalized energy services.
- 기사 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.
- 고객 사례 고객 사례 IoT data with artificial intelligence reduces downtime, helps truckers keep on truckingVolvo Trucks and Mack Trucks use sensor data and SAS AI solutions to minimize unplanned downtime.
- 고객 사례 Just add data: How data and technology — paired with a human touch — create a sustainable and quality culinary experienceBarilla, the world’s largest pasta manufacturer, uses advanced analytics and AI to track global inventory and optimize orders and deliveries to meet surging demand.
- 시리즈 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.
- 고객 사례 One of the largest multi-sport clubs in Portugal aims to win big with analyticsSport Lisboa e Benfica modernizes its operations with SAS Analytics, as it looks to expand internationally.
- 기사 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.
- 고객 사례 Norway’s largest telecommunications, media and technology provider adapts to rapidly changing customer expectations using a hybrid cloud approachTelenor relies on SAS Viya on Azure and SAS Customer Intelligence 360 to provide fast, personalized customer service based on real-time analytics.
- 고객 사례 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.
- 백서 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.
- E-BOOK 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.
- 백서 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.
- 백서 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.
- 고객 사례 데이터 분석을 통한 비용절감 사례미국 혼다자동차가 보증 신청 업무를 개선하고 데이터 분석을 통해서 부품과 서비스 수요를 예측, 비용을 절감한 사례를 확인하십시오.
- 백서 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.
- 고객 사례 고급 분석으로 고객 경험 개선은행들은 고객에게 더 나은 서비스를 제공하고 고객을 유지 및 확보할 수 있는 새로운 방법을 찾기 위해 도전하고 있습니다. Seacoast Bank는 SAS Viya와 SAS Visual Analytics를 활용하여 은행이 보유하고 있는 수많은 고객 데이터로부터 고객의 요구와 요구에 대한 통찰력을 얻을 수 있었습니다.
- 고객 사례 Ensuring mental health patient safety during a global pandemicSAS delivers dashboard to monitor COVID-19 in the Copenhagen Regional Psychiatric Centers.
- 고객 사례 Manufacturing smarter, safer vehicles with analyticsKia Motors America relies on advanced analytics and artificial intelligence solutions from SAS to improve its products, services and customer satisfaction.
- 기사 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.
- 백서 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.
- 백서 Improve Customer Experience with Actionable Artificial Intelligence While more marketers turn to artificial intelligence technologies, this new territory also raises more questions. This paper offers a detailed look into how AI works, and explores the opportunities and challenges it presents.
- 기사 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.
- 백서 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.
- 백서 Leadership and Big Data InnovationA Harvard Business Review Key Learning Summary
- 기사 How to find and equip the citizen data scientists in your midstCitizen data scientists are challenging the status quo and looking at data in new ways. Learn how to recognize, reward and train these analytical minds to benefit the business.
- E-BOOK 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.
- 사례 연구 Thwarting disruption with strategic investments in innovationNational Australia Bank turns to innovative strategies, like hackathons, to find new solutions to emerging challenges.
- 백서 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.
- 백서 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.
- 백서 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.
- 백서 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.
- 기사 Will health care be fundamentally changed post-COVID-19?Many market forces are supporting the transformation to virtual digital health programs -- the COVID-19 pandemic is just the latest compelling event.
- 백서 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.
- 백서 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.
- 백서 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.
- 고객 사례 Nudging students and school districts toward unimagined successMichigan’s Anchor Bay and Armada Area school districts use SAS EVAAS for K-12 to encourage students and educators to dream bigger and achieve higher.
- 백서 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.
- 백서 Data Management for Artificial IntelligenceWhen machines learn from exposure to data, the truism of “garbage in, garbage out” for data is truer than ever. Now is the time for executives, particularly the chief data officer, to establish the data management strategy, technology and best practices to ensure success with machine learning.
- R E S E A R C H Nerd in the herd: protecting elephants with data scienceA passionate SAS data scientist uses machine learning to detect tuberculosis in elephants. Find out how her research can help prevent the spread of the disease.
- 시리즈 A culture of evidenceTransforming US community colleges starts with analyzing the data that you have. Learn how leading schools are building an analytics ecosystem.
- 기사 Five ways your organization can enhance resilience for years to comeInnovation, agility and customer-centricity frequently top the list of companies’ strategic objectives, and now the most urgent priority is resilience. Given this new urgency, it’s worth taking a close look at the underpinnings of resilience and how they could be applied in any industry. This article explores how analytics can help boost resilience and includes key elements to keep your organization resilient.
- 백서 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.
- 백서 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.
- 기사 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.
- 백서 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.
- 백서 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.
- 백서 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.
- 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.
- 백서 Building a Foundation for HR Analytics Valuable insight into what it takes to build HR analytic competency from scratch.
- 기사 Components of an information management strategyBefore starting a data management strategy for your business, you need to understand each component. Data expert David Loshin breaks them down.
- 기사 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.
- 백서 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.
- 기사 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.
- 백서 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.
- 백서 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.
- 백서 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.
- 백서 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.
- 고객 사례 Putting IoT data from connected vehicles to workIveco Group uses SAS Viya on Amazon Web Services to improve vehicle design and remote diagnostics for its trucks.
- 시리즈 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.
- 회견 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.
- 기사 GDPR and AI: Friends, foes or something in between?The GDPR may not be best buddies with artificial intelligence – but GDPR and AI aren't enemies, either. Kalliopi Spyridaki explains the tricky relationship between the two.
- 기사 Detect and prevent banking application fraudCredit fraud often starts with a falsified application. That’s why it’s important to use analytics starting at the entrance point. Learn how analytics and machine learning can detect fraud at the point of application by recognizing the biggest challenge – synthetic identities.
- 기사 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.
- 기사 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.
- 기사 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.
- 분석 보고서 Artificial Intelligence In Retail: What Now?This RSR Benchmark Report examines retailers’ attitudes about AI/ML technology and whether it can be used to turn data into insights and help retailers better understand the environments they operate in.
- 분석 보고서 IDC MarketScape: Worldwide MLOPs Platforms 2022 Vendor AssessmentSAS is positioned in the Leader's category in the 2022 IDC MarketScape for worldwide machine learning operations platforms.
- 고객 사례 SAS Viya and open source: Innovation through collaborationHealth insurer Techniker Krankenkasse works with SAS to build innovative pattern recognition capabilities.
- 분석 보고서 Celent: Insurance Fraud Detection Solutions: Health Insurance, 2022 EditionSAS was named a Luminary in Celent's Insurance Fraud Detection Solutions: Health Insurance, 2022 Edition, excelling in both Advanced Technology and Breadth of Functionality.
- 분석 보고서 Advanced Analytics Excellence In Discrete ManufacturingThis paper explains how advanced analytics helps discrete manufacturing achieve operational excellence, including potential benefits, the capabilities an organization needs, and how the organization can align with this approach.
- 분석 보고서 Maximizing Innovation in Digitally Maturing Process ManufacturingThis report outlines the roadmap that digitally maturing process manufacturers must follow to identify and build the core competencies needed to use transformation as a competitive advantage.
- 분석 보고서 SAS Explore 2022 Review and AnalysisThis IDC Link focuses on several SAS announcements supporting faster time-to-value for AI/ML model-driven businesses.
- 기사 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.
- E-BOOK Make Every Voice Heard with Natural Language ProcessingNatural language processing: The communication link between human and machine intelligence.
- 백서 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.
- 백서 AIOT: How IoT Leaders Are Breaking Away (IDC Market Report / AIoT Survey 2019)Read the results of a global study conducted by IDC, which revealed that AI and the IoT are having a bigger-than-expected impact – and leaders report that the AIoT is becoming the key to competing effectively.
- 백서 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.
- 백서 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.
- 백서 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.
- 백서 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.
- 백서 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.
- 백서 Approachable Analytics With SAS® Web Solutions See how SAS Web solutions enable rapid prototyping of new analytic solutions.
- 백서 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.
- 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.
- 백서 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.
- 백서 What Management Must Know About ForecastingExplore why forecasts are often wrong and learn about ways to improve them.
- 백서 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.
- 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.
- 백서 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.
- 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.
- 백서 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.
- 백서 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.
- 백서 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.
- E-BOOK 백서 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.
- E-BOOK 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.
- 백서 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.
- 백서 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.
- 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.
- 백서 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.
- 백서 AI for the CIO: 10 Tips for SuccessThis paper offers 10 tips for the CIO who is knee-deep in digital transformation projects that require deploying AI models at an enterprise scale.
- 백서 TDWI Checklist Report Analytics for Everyone: Seven Tips for Promoting Analytics AdoptionChecklist Report on democratizing analytics
- 백서 Four Elements of Sustainability AnalyticsDirectors at consumer-packaged goods manufacturers who embrace sustainability grow their revenue while improving lives and environmental outcomes.
- 백서 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.
- 백서 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.
- 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.
- E-BOOK 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.
- E-BOOK How to Take AI Projects From Start to WinThe four pillars of starting a successful AI program and examples of how other organizations have taken their AI projects from start to finish.
- E-BOOK 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.
- E-BOOK 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
- 백서 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.
- 백서 TDWI Best Practices Report | Faster Insights from Faster Dataresearch report on improving speed to insight
- 백서 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.
- 백서 AI Momentum, Maturity & Models for Success: Focus on SingaporeAdvances in data and analytics have enabled early adopters of AI to grow beyond experiments and quick hits and provide examples for paths to success with AI.
- 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 runtime environments when developing and deploying models.
- E-BOOK Accelerate and improve business outcomes with AIoTOrganizations across multiple industries are using AIoT to improve quality, maximize equipment performance, improve efficiencies and more. Download this e-book to find out how you can reap the same benefits.
- 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.
- E-BOOK 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.
- 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.
- E-BOOK Fearless Decision? The most successful banks of the future will be those who can see their customers as individuals, appreciate their unique journeys and make decisions accordingly — across all associated business functions.
- 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.
- 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.
- 백서 Beyond the Hype: The Hard Work Behind Analytics SuccessWhy competitive advantage from analytics is declining and what to do about it
- 백서 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.
- 백서 Adopting AI: The Impacts of AI on ManagementThe AI revolution is no longer the stuff of science fiction – it’s corporate reality. Harvard Business Review’s AI Adoption Insight Center articles on management discuss the reality of AI execution in businesses today and what we’re learning as AI advances.
- 백서 Adopting AI: Strategic Takes on AI AdoptionA successful AI implementation requires a strong strategy from the beginning. Knowing how and where to fit AI into your business to gain the most benefits is crucial to drive growth.
- 백서 Adopting AI: Industry PerspectivesFrom self-driving cars to supply chain jobs, detecting crime and changing healthcare, AI promises to transform our business world. The promise of AI is no longer speculative—it’s today’s reality.
- 백서 Adopting AI: Linchpins of AI Success - Data Scientists and Their Algorithms The Harvard Business Review’s AI Adoption Insight Center focuses on the the human faces behind the computational and automation advancements that are carrying our world into exciting, uncharted territory.
- 백서 AI Momentum, Maturity and Models for SuccessSAS, Intel and Accenture, working with Forbes Insights, surveyed business leaders and interviewed thought leaders around the world to identify early adopters and uncover emerging best practices for AI. Find out what they had to say.
- 백서 TDWI Checklist Report Six Best Practices to Ignite the Customer Experience with IoTcustomer data, IoT
- 백서 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.
- 백서 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.
- 백서 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.
- 백서 Combining Robotic Process Automation and Machine LearningLearn how you can make robotic process automation smart by adding machine learning to it.
- 백서 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.
- 백서 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.
- 백서 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.
- 백서 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.
- 백서 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.
- 백서 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.
- 백서 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.
- 백서 From Value to Vision: Reimagining the Possible with Data Analytics
- 백서 BI, Analytics, and the Cloud: Strategies for Business AgilityCloud BI and analytics
- 백서 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.
- 백서 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.
- 백서 Advanced Analytics: Moving Toward AI, Machine Learning, and Natural Language Processingadvanced analytics, artificial intelligence, machine learning, natural language processing
- 백서 TDWI Navigator Report: Predictive AnalyticsPredictive Analytics
- 백서 Accelerating the Path to Value with Business Intelligence and AnalyticsBI and Analytics Accelerating Value
- 백서 Operationalizing and Embedding Analytics for ActionOperationalizing and Embedding Analytics
- 백서 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.
- 백서 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.
- 백서 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.
- 백서 Overheard: 5 Questions IT leaders are really asking about SAS® and Microsoft AzureHow does SAS Viya work on the cloud – and on Microsoft Azure in particular? Get answers to five of the most frequently asked questions so you can you reach the right decision for your organization faster.
- E-BOOK Powering Health Innovation with AIThere is no doubt: AI has the potential to transform health care. The most recent SAS Hackathon showcased how the transformative power of analytics can spark health care innovation. The Hackathon was entirely conducted on a Microsoft Azure cloud infrastructure to facilitate the agile analysis and visualization of big data.
- 백서 What is the best path forward?Mathematical optimization finds the best courses of action through multiple variables and conflicting constraints.
- E-BOOK The Innovator's Flight Plan to AIAs an emerging technology, AI is naturally associated with innovation. Many organizations are using AI to develop new products and business models, and to improve their business processes.
- 백서 The Total Economic Impact™ of SAS® Viya® on AzureA Forrester Total Economic Impact Study on the cost savings and business benefits enabled by SAS Viya on Azure.
- E-BOOK Augmented Analytics: The secret ingredient to better business intelligenceAugmented analytics breaks down the limitations of business intelligence (BI) and brings forward insights from data using AI and machine learning.
- 백서 Unified Platforms for Modern AnalyticsBest practices report about unified analytics platforms from TDWI.
- E-BOOK Data scientists use SAS Viya on Microsoft Azure to develop big innovationsThis e-book features top solutions showcasing how global Hackathon teams used SAS Viya on Microsoft Azure to develop innovative approaches that save time, money, and entire ecosystems, such as the world's coral reefs.
- 백서 SAS® Analytics on Azure: Four Steps to Success with the Cloud Adoption FrameworkTransform your business with SAS® Viya® on Azure. Learn about the four key steps to success as organizations work to harness, access, understand and lead with big data and artificial intelligence to become top performers in their market.
- 기사 IoT in health care: Unlocking true, value-based careGiven the potential of IoT – and the challenges of already overburdened health care systems around the world – we can’t afford not