Explore resources related to data management.
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Технический документ
Eight Considerations for Utilizing Big Data Analytics with HadoopThis paper focuses on eight considerations when it comes to applying big data analytics to extract value from Hadoop. Readers will learn about the importance of in-memory analytics, how to optimize the data preparation processes and the skill sets needed to derive benefits from Hadoop.
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Технический документ
Improving Data Preparation for Business AnalyticsThis TDWI Best Practices Report discusses the latest data preparation processes, self-service options and how to effectively integrate data prep with analytics and BI solutions.r More Productive Users
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Технический документ
Best Practices in SAS® Data Management for Big DataThis white paper discusses capabilities and techniques for optimizing SAS Data Management products for big data.
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Аналитический отчет
Gartner positions SAS as a Leader in the Magic Quadrant for Data Quality SolutionsSAS believes product innovation and trusted support are key to market growth for data quality solutions.
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Article
Внутренние ИТ-отделы становятся более значимыми для бизнесаИнновация – это вопрос данных. Это не секрет. Но как компания преобразовывает свои данные в бизнес-модели, чтобы стимулировать изменения?
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Аналитический отчет
5 Pitfalls to Avoid When Designing an Effective Data and Analytics Organization In this research report, Gartner examines five major pitfalls that significantly inhibit the design of an effective data and analytics organization, then discusses practical steps that data and analytics leaders can take to avoid them.
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Аналитический отчет
SAS is a Leader in The Forrester Wave™: Streaming Analytics, Q3 2017Streaming analytics are critical to building contextual insights for IoT, mobile, web and enterprise applications. Read the report to learn more.
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Технический документ
Managing the Analytics Life Cycle for Decisions at ScaleLet the SAS Analytics Life Cycle guide you through the iterative process of going from raw data to predictive modeling to automated decisions, faster. This paper tells you how.
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Аналитический отчет
Bloor InBrief: SAS Event Stream ProcessingLearn why Bloor considers SAS a major contender in the market for streaming analytics platforms due to SAS’ differentiating analytic capabilities, notable performance and continuous improvement of in-stream models using machine learning.
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Технический документ
Modernize Your Use of Analytics and Automate Everyday Operational DecisionsDiscover how leading organizations are successfully automating the model deployment process, thus improving KPIs for customer satisfaction, revenue growth, return on assets, production uptime, operational costs, meeting targets, and more.
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Аналитический отчет
Bloor InBrief: SAS Event Stream Processing Bloor InBrief: SAS Event Stream Processing
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E-Book
Data Privacy: Are You Concerned?Report based on a 2018 survey of 525 US consumers regarding their views on data privacy in light of recent data scandals and the implementation of the General Data Protection Regulation in the EU. It's purpose is to better understand their opinions on data privacy and how it affects their behaviors and trust toward companies.
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Технический документ
Six Ways to Use Subscriber Data to Build a Stronger Business -
Article
Ключевые вопросы для запуска ваших проектов по аналитике данныхНет единого плана по работе над проектом по аналитике данных. Эксперт по технологиям Фил Саймон предлагает рассмотреть эти десять вопросов в качестве руководства.
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Аналитический отчет
Vendor Rating: SASSAS leads in several markets where it leverages its broad product portfolio, expertise in advanced analytics and partner ecosystem. SAS has been aggressive in driving AI and machine learning innovation in its portfolio. SAS Viya platform is a critical change that is cloud-ready and leverages open-source software.
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Article
Сколько вы теряете из-за неоптимального севооборота?Самое время перейти к летней практике и рассмотреть такую распространенную и понятную задачу, как планирование севооборота. Что будет, если добавить в эту задачу щепоточку искусственного интеллекта и несколько граммов математических методов?
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Технический документ
Data Management for Analytics: Five Best Practices“Unpolluted” data is core to a successful business – particularly one that relies on analytics to survive. But preparing data for analytics is full of challenges. By some reports, most data scientists spend 50 to 80 percent of their model development time on data preparation tasks. SAS adheres to five data management best practices that help you access, cleanse, transform and shape your raw data for any analytic purpose. With a trusted data quality foundation and analytics-ready data, you can gain deeper insights, embed that knowledge into models, share new discoveries and automate decision-making processes to build a data-driven business.
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Технический документ
Drive Next-Generation Customer Experiences with Real-Time Connected Product and Service Analytics SAS, Hortonworks and Intel can help you embrace technologies and processes to anticipate a wide range of customer needs, providing the foundation for next-generation customer experiences.
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Технический документ
Foundations for Data MonetizationTake a deep dive into the data monetization research of MIT CISR and SAS, and learn about a classification for information offerings, non-negotiable business capabilities required for data monetization, facets of information business cultures and areas of potential competitive advantage.
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E-Book
When Bad Data Happens to Good CompaniesThis e-book describes why a data quality program is critical, as well as the steps needed to achieve data quality improvement, including how to assess the impact of business issues on operations and decision making and monitor for future events. Using a "blended case study" of a health care provider as an illustration, the e-book describes how to overcome data challenges that can affect any company across industry.
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Технический документ
Hadoop for the Enterprise: Making Data Management Massively Scalable, Agile, Feature-Rich, and Cost-EffectiveThis TDWI report accelerates users’ understanding of new products, technologies and best practices that have emerged around Hadoop. It will also help readers connect available options to use cases, with a focus on mainstream enterprise uses, while respecting proven IT practices and delivering maximum business value.
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Технический документ
Understanding Big Data Quality for Maximum Information UsabilityDiscover why data quality and data governance are so important to large-scale analytics. Learn how to balance governance with usability so you can come up with a strategic plan for managing big data.
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Технический документ
SAS and the Hadoop EcosystemA vendor profile from The Bloor Group that refers to the full report: Making Sense of Hadoop and its Ecosystem.
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Технический документ
How Hadoop Helps Realize Big Data ValueLeveraging a big-picture approach to Hadoop opens up a world of
data-fueled opportunities. -
Технический документ
Integrating Law Enforcement Data to Deliver Accurate, Timely Information and Valuable ForesightLearn how pulling together operationally relevant intelligence from vast sources of internal and external data enables law enforcement agencies to see
the big picture and the critical information necessary to do their jobs effectively. -
Аналитический отчет
Worldwide Big Data and Analytics Software Market Shares, 2019: Investment in Data Continues In this compilation of IDC reports, SAS is ranked No.1 in worldwide revenue in Advanced and Predictive Analytics Software, and in the top five for Artificial Intelligence Software Platforms, Analytic Data Integration and Intelligence Software, Services Operations Analytic Applications and Customer Relationship Analytic Applications.
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Технический документ
Populating a Data Quality Scorecard with Relevant MetricsExplore ways to qualify data control and measures to support a data governance program, and learn how data management practitioners can define metrics that are relevant to how specific data-quality issues affect their business.
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Технический документ
Faster Insights from Faster DataExamines where organizations are facing barriers to getting relevant data into the right condition for analytics, for developing artificial intelligence (AI) programs, and for delivery to users who need insights in time to solve business problems.
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Технический документ
The SAS Data Governance Framework: A Blueprint for SuccessThis white paper explains how to build a comprehensive data governance framework that encompasses all parts of the data management infrastructure.
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Аналитический отчет
SAS throws its hat into the self-service data preparation ring with Data Loader for Hadoop -
Технический документ
The 5 Essential Components of a Data StrategySkip the blue-sky thinking with a realistic data strategy to address current and future business needs.
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Технический документ
Profiling and Analytics under GDPR: Staying on the Right Side of the Regulation with Data GovernanceExplore the GDPR provisions targeting customer analytics and profiling. This paper explores how a comprehensive data governance program can mitigate compliance risks for these provisions, and introduces must-have data management technologies that can help.
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Технический документ
Master Data Management: Finding the Value and How to Get StartedExpert author David Loshin examines the levels of maturity and capability necessary to successfully deploy MDM and shows which tangible benefits you can achieve early in the process.
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Технический документ
Data Quality Challenges and PrioritiesFind out how organizations are addressing their most pressing data quality issues, discover the top 10 priorities for data quality solutions, and learn the best ways to engage and empower business users to improve data quality.
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Технический документ
Data EvolutionLearn about the evolution of data integration tools and the benefits that can be achieved with a comprehensive data management platform.
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Article
Монетизация данных в эпоху цифровой трансформации: роль и задачи ИТЦифровая трансформация стала основной темой обсуждений на недавней 22 ой конференции «ИТ в страховании». Участники сошлись во мнении, что внедрение и применение аналитических технологий для монетизации данных уже стало обязательным условием для качественных преобразований в отрасли.
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E-Book
Data Management: What You Need to Know and WhyExplores the essential building blocks of data management, including master data management, data governance, data quality, data integration and data federation.
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Технический документ
A Non-Geek’s Big Data PlaybookThis paper examines how a non-geek yet technically savvy business professional can understand how to use Hadoop - and how it will impact enterprise data environments for years to come. The paper serves as a playbook that demonstrates six common “plays” that illustrate how Apache Hadoop can support and extend the enterprise data warehouse (EDW) ecosystem.
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Аналитический отчет
Gartner positions SAS as a leader in the Magic Quadrant for Data Integration ToolsSAS is a leader in Gartner's 2020 Magic Quadrant for Data Integration Tools. Data integration from SAS helps you break down data silos and boost productivity.
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Технический документ
Self-Service Big Data Preparation in the Age of Hadoop: A Conversation With SASLearn how SAS Data Loader for Hadoop enables business users – along with data scientists and IT – to access, profile, transform and cleanse Hadoop data. The best part is, it requires minimal training and no need for coding.
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Технический документ
Analytics Across the Student Life CycleWhy higher education institutions need to implement data integration, data visualization and analytics solutions. It then shares best practices for applying these technologies across the student life cycle and examples of how schools are using these technologies to improve decision making.
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Customer Story
Identifying potential trouble spotsFlorida DOC turns to SAS Analytics to help improve citizen safety.
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Технический документ
Federated Data Checks InEver wondered how you could change your business if you could just get real-time insight from all of your organization’s key data resources at once?
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Customer Story
University aces data strategy to retain more studentsBetter student outcomes, million-dollar savings just the beginning for the University of North Texas.
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Технический документ
Operationalizing and Embedding Analytics for ActionThis TDWI Best Practices Report focuses on how organizations can and are operationalizing analytics to derive business value.
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Технический документ
SAS Best Practices Report: Data Lakes, Data Lakes: Purposes, Practices, Patterns, and PlatformsThe TDWI Best Practices Report defines data lake types, then discusses their emerging best practices, enabling technologies and real-world applications. The report’s survey quantifies user trends and readiness for data lakes, and the report’s user stories document real-world activities. -
Технический документ
Modernizing Data Integration to Accommodate New Big Data and New Business RequirementsThis TDWI Checklist Report offers recommendations for the seven most pressing data integration modernization tasks.
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Технический документ
BCBS 239: Meeting Regulatory Obligations While Optimizing Cost ReductionsExplore how forward-looking finance executives are using high-performance technologies to create fundamentally superior, compliant risk reporting processes – and ultimately help executives realize the goal of sustainable profitability
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Аналитический отчет
SAS is a Leader in The Forrester Wave™: Enterprise Insight Platforms, Q1 2019 Forrester names SAS a Leader in The Forrester Wave™: Enterprise Insight Platforms, Q1 2019
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Технический документ
Using Next-Generation Advanced Analytics to Harness Big DataDiscover why Heavy Reading recommends using advanced analytics from proven vendors to obtain real-time intelligence from all your big data.
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Технический документ
Data is KingLearn about the benefits of building an analytical data warehouse based on an insurance-specific data model so insurance companies can gain the most out of their investment in business analytics.
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E-Book
Becoming a data-driven organizationLearn about the three foundations of becoming data-driven – data management, analytics and visualization – and how they can increase profitability, boost performance, raise market share and improve operations.
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Article
Утконос: работа с данными как часть трансформацииЕсть огромный объем задач, в которых применение продвинутой аналитики даст более существенный эффект, чем традиционные подходы. И они совершенно точно должны решаться централизованно.
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Технический документ
Revamping Data ManagementRecent IDG survey demonstrates growing need for end-to-end data management strategies as organizations mobilize against year-over-year challenges.
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Customer Story
Data quality lifts sales effortsBMC Software achieves real-time data quality to meet customer demand.
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Технический документ
Making Sense of Hadoop and its EcosystemAn Investigation into the Evolution and Deployment of Hadoop
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Технический документ
Stronger Cybersecurity Starts with Data ManagementCybersecurity professionals are changing their focus from prevention to detection. This paper describes how security analytics and proper data management help organizations quickly identify and investigate abnormal network behavior.
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Аналитический отчет
How Data Science Teams Leverage Machine Learning and Other Advanced AnalyticsGartner's 2017 customer reference survey for data science and machine learning platforms reveals how many organizations are undertaking data science initiatives.
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Технический документ
SAS®: A Comprehensive Approach to Big Data Governance, Data Management and AnalyticsSAS puts you in charge of burgeoning big data governance issues. See how in this paper by Sunil Soares.
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E-Book
Operationalizing AnalyticsExplore how to overcome difficulties related to data and operationalizing analytics. We’ll also look at how one industry – banking – has been able to realize the full benefit of its analytics investment.
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Технический документ
The Art and Science of ReinsuranceThis white paper explains how reinsurers can gain a competitive advantage by turning to technology for catastrophe modeling, data analytics and geospatial information systems (GIS) to better understand the data and their risk exposure.
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Технический документ
Faster Insights from Faster DataThis TDWI Best Practices Report examines where organizations are facing barriers to getting relevant data into the right condition for analytics, for developing artificial intelligence (AI) programs, and for delivery to users who need insights in time to solve business problems.
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Article
IoT: ускоритель взаимодействия с клиентами, который не стоит игнорироватьIoT представляет собой мощный источник данных, который в сочетании с аналитикой может дать представление обо всем, от поведения до эмоций и здоровья. И вот почему это ключ к улучшению качества обслуживания клиентов.
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Article
Data Lineage делает искусственный интеллект умнееРазработайте стратегию управления данными с использованием Data Lineage и дайте возможность ИИ полностью раскрыть свой потенциал.
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E-Book
Data Preparation Challenges Facing Every EnterpriseTime spent cleaning data is eating away at the time available for analysis. What steps can your enterprise take to get analytics back on track? Read this e-book to learn how to reverse those numbers, improving efficiency for both business users and IT by letting analysts quickly prepare data for analytics.
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Технический документ
I Spy PII: How to Use SAS® Data Management for Personal Data ProtectionGet a step-by-step look at how to use SAS Data Management software to access, identify, govern, protect and audit personal data across your organization.
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Технический документ
Data Preparation – Refining Raw Data into ValueLearn how data preparation is used today, which challenges you need to overcome, and in which organizational framework this takes place.
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Технический документ
The Current State of Hadoop in the EnterpriseWritten by the International Institute for Analytics, this paper presents a broad view of Hadoop in the marketplace, including how it is being adopted and used by global organizations. It then offers a set of recommendations that organizations can use to succeed with Hadoop.
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Customer Story
Improving loss ratios and profitabilityTriad Analytic Solutions helps insurers benefit from advanced analytics.
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Технический документ
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.
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Технический документ
Best Practices in Enterprise Data GovernanceExplore data governance best practices, and discover where and how you can use SAS data governance capabilities to ensure successful data governance initiatives that continually deliver overall ROI and gain acceptance across the enterprise.
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Технический документ
Five Data Management and Analytics Best Practices for Becoming Data-DrivenThis TDWI Checklist Report discusses best practices to build a program and an infrastructure for becoming data-driven.
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Технический документ
Privacy and personal data protection in a GDPR worldAs the EU’s enforcement of the General Data Protection Regulation begins in May 2018, organizations worldwide are tasked with ensuring the protection and privacy of data for any EU citizens. And while the law applies in the EU, its impact is broad and the penalties for noncompliance are severe.
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Технический документ
Bringing the Power of SAS to HadoopWant to get even more value from your Hadoop implementation? Learn about the SAS portfolio of solutions that enable you to bring the full power of business analytics to Hadoop.
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E-Book
Data: Managing It to Make the Most of ItThis e-book provides an in-depth look at how health care organizations could use information management to make better use of data – and, in the process, move clinical care forward by having the ability to not only collect information but to make intelligent decisions and care advancements based on true knowledge.
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Технический документ
Big Data at Work This Harvard Business Review Key Learning Summary explains how to capitalize on the data you already have and how to integrate big data into everyday business operations.
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Аналитический отчет
Top Strategic IoT Trends and Technologies Through 2023In this report, Gartner examines 10 longer-term IoT technologies and trends that will be important in the 2018 through 2023 time frame.
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Article
Data governance: The case for self-validationLearn why you should redefine data governance policies to empower customers to be accountable for keeping their personal data accurate, consistent and up-to-date.
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Технический документ
Data Management: The Foundation for Successful Reporting and Analytics in EducationSee how effective data management enables educational institutions to generate accurate reports and analytics - and how SAS can help.
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Технический документ
SAS® and Apache Hadoop for Government This paper focuses on the integration of Hadoop-centric big data approaches with user-focused business analytics capabilities. Users see accessible business analytics tools that produce results, without the need for IT staff to craft queries in programming languages.
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Аналитический отчет
SAS takes Event Stream Processing to Cisco's edge for Internet of Things stackSAS and Cisco work together to enable IOT type analytics from the edge of the network to the data center to the cloud, according to 451 Research.
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E-Book
An Early Adopter's Guide to HadoopRead interviews with two Hadoop customers and two Hadoop implementors, plus Hadoop adoption survey results and tips for big data management - all in one convenient ebook package.
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Article
4 совета по тегированию данныхЧем больше данных вы можете применить к бизнес-проблеме, тем лучше ее потенциальные решения. Несмотря на то, что сегодня компании не испытывают недостатка в данных, зачастую трудно узнать, какие данные у них уже есть и как их можно использовать.
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Технический документ
Data Warehouse Modernization Best practices and data warehousing trends to follow when planning modernization projects. Learn the top 12 priorities you must consider for a successful data warehouse modernization.
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Технический документ
Best Practices for Hadoop: A Guide From SAS CustomersEase your transition to Hadoop by following these tried-and-true best practices from SAS customers.
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Технический документ
Data Integration Déjà Vu: Big Data Reinvigorates DIDiscover why the latest evolution of data integration delivers more value from big data.
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Article
Персональные данные: разбираемся в GDPRЧтобы узнать больше о понятии «персональные данные», почему об этих данных говорят в новостях и почему они жестко регулируются Общим положением о защите данных (GDPR), мы пообщались с Джеем Экзэмом, юристом по вопросам конфиденциальности в SAS.
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Article
Data governance framework: What is it and do I already have one?A data governance framework encompasses a holistic approach to how you collect, manage and archive data.
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Технический документ
Data Quality: The Achilles' Heel of Risk ManagementEffective data quality management should be considered a basic requirement for modern-day bank management. This paper focuses on five best practices for improving data quality that are derived from successful SAS projects within the financial services industry.
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Article
5 советов по управлению данными, которые помогут вам улучшить работу с аналитикойСледуйте этим 5 рекомендациям по управлению данными, чтобы убедиться, что ваши бизнес-данные дают вам отличные результаты в рамках проведения аналитики.
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Технический документ
Data Management in Action: Solving Real-World ChallengesDiscover how a solid data management foundation helps you make better decisions and attain business success.
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Технический документ
How Streaming Data Analytics Enables Real-Time DecisionsLearn how SAS provides extremely high-throughput, low-latency technology to meet whatever streaming analytics your company might want to pursue.
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Article
5 способов стать data-driven организациейУспешный data-driven бизнес способствует формированию целенаправленной, коллаборативной культуры; имеет лидеров, которые верят в данные и ориентированы на управление. Узнайте больше в этом кратком обзоре исследования TDWI, в котором раскрываются рекомендации для становления data-driven.
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Технический документ
The General Data Protection Regulation: What It Means and How SAS® Data Management Can HelpFind out how the GDPR could affect your business and how SAS Data Management solutions can help you prepare.
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Аналитический отчет
Bloor Market Update: Streaming AnalyticsLearn why Bloor considers SAS a major contender in the market for streaming analytics platforms due to SAS’ differentiating analytic capabilities, notable performance and continuous improvement of in-stream models using machine learning.
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E-Book
GDPR compliance in a data-driven worldSome organizations focus on the scary aspects of failing to comply with the EU General Data Protection Regulation. But there are many long-term benefits of following through with plans for sustainable GDPR compliance – such as gaining a competitive edge, or developing new products or services.
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Article
Soccer versus baseball: which is the best analogy for data governance?Is data governance more like baseball, featuring individual effort, or like soccer, where a team approach wins? Carol Newcomb evaluates the best sports analogy for data governance.
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Технический документ
Building a Data Quality Scorecard for Operational Data GovernanceLearn how to take the concepts of data governance into general practice as a byproduct of the processes of inspecting and managing data quality control.
