Comprehensive data governance tools for maintaining consistent data governance policies, processes and owners for your corporate information.
Enterprise governance
Maintain and manage data attributes through a common data model.
Business data glossary
Create and manage business terms and safeguard them as you see fit. Speed import of terms and relationships using CSV files.
Reference data manager
Store, manage and publish lists and hierarchies from a web-based interface that can be used across lines of business.
Visualization & reporting
Create reports and share information about data governance initiatives. Monitor data health and status of remediation issues.
Data lineage
View relationships and impact analysis across both SAS and third-party data transformation jobs, data models and other data elements.
Data remediation
Govern stewardship and other business processes via workflows; review records and resolve issues once problems are identified.
Business rule validation
Help data meet organizational standards for data quality and business processes.
Data monitoring
Use dashboards, data remediation processes and active alerts to data issues as they arise.
Application integration
Integrate data governance tools with other applications via the exposed REST API.
Security & auditability
Flag changes in metadata, enable role-based access to various data stewardship consoles and protect sensitive information. Create point-in-time snapshots of past terms to meet regulatory requirements.
Metadata management and visualization
Align business and IT with powerful lineage relationship visualization that spans the enterprise, including SAS Data Management, SAS Analytics and third-party ETL or data quality tools, tables, data models and other metadata objects.
Spend less time managing your data – and more time managing your business – with trusted data governance tools.
Control your data through better policies and parameters.
When it comes to knowing what’s happening with your data and who’s altering it, you don’t have to guess – you can know. Set guidelines around who sees what information. Enforce who makes changes – and what changes they can make. Generate snapshots of past business terms and relationships to better meet regulatory requirements. You have the power to be proactive, without compromising security.
Define terms, promote collaboration and pinpoint issues with a business glossary.
SAS Data Governance doesn’t just deliver a standard-issue glossary. It gives you a powerful, interactive repository of terms and definitions that makes it easier to flag and fix issues. You can create and manage SAS and third-party metadata – all from an integrated, workflow-driven environment. Plus you can visualize and create reports to track remediation issues or monitor data health.
Measure your success and track progress.
With built-in reporting, monitoring and validation, our data governance tools let you know if you’re succeeding, or whether you need to make changes. You can use an intuitive dashboard to monitor trends. Know when policies are being followed. And trace them when they aren't.
Manage reference data from a single location.
Setting up and maintaining reference data is easy for both business and IT. Your tech experts build a table directly into a job – and then that information can be updated by business users. It's an efficient way to keep your big data updated and accurate, even if it’s stored in Hadoop or Impala.
Explore More on SAS® Data Governance and Beyond
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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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White Paper
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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White Paper
Using Next-Generation Advanced Analytics to Harness Big DataDiscover why Heavy Reading recommends using advanced analytics from proven vendors to obtain real-time intelligence from all your big data.
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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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White Paper
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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White Paper
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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Article
Data management backgrounderFrom data integration to data quality and data preparation, find out what these terms mean and why they’re so important for your analytics projects.
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White Paper
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.
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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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White Paper
SAS®: A Comprehensive Approach to Big Data Governance, Data Management and AnalyticsSAS puts you in charge of burgeoning big data governance issues. See how in this paper by Sunil Soares.
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White Paper
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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White Paper
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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White Paper
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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Customer Story
Finding the diamonds in your dataAt Gitanjali Group, a weekly reporting project that took several finance staffers a day to complete can now be done in an hour with SAS Business Intelligence.
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Customer Story
A data-driven approach to whole person careRiverside County relies on data integration and analytics from SAS to improve the health and well-being of vulnerable Californians.
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White Paper
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
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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White Paper
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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White Paper
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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White Paper
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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Analyst Report
SAS throws its hat into the self-service data preparation ring with Data Loader for Hadoop -
White Paper
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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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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White Paper
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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White Paper
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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Customer Story
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.
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White Paper
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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White Paper
Making Sense of Hadoop and its EcosystemAn Investigation into the Evolution and Deployment of Hadoop
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White Paper
Building an Analytical Culture for SuccessAn ambitious, culture-centric project reshaped people’s attitudes about data and quickly returned more than a $1 million in cost savings. See the six guiding principles that led to success where three earlier attempts had failed.
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White Paper
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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White Paper
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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White Paper
Drive Next-Generation Customer Experiences with Real-Time Connected Product and Service Analytics SAS, Hortonworks and Intel can help you embrace technologies and processes to anticipate a wide range of customer needs, providing the foundation for next-generation customer experiences.
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White Paper
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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Article
IoT: The customer experience accelerator you can't afford to ignoreIoT represents a powerful source of data that, when combined with analytics, can yield insights on everything from behavior to emotions to health. And that's why it's key to improving customer experience.
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Analyst Report
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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White Paper
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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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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Customer Story
Solving crime in less time with analyticsDelaware State Police use law enforcement solutions from SAS to help identify suspects, crack cases and protect communities.
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White Paper
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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Analyst Report
Bloor InBrief: SAS Event Stream Processing Bloor InBrief: SAS Event Stream Processing
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White Paper
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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Customer Story
Identifying potential trouble spotsFlorida DOC turns to SAS Analytics to help improve citizen safety.
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Customer Story
New Zealand Ministry of Social DevelopmentThe New Zealand Ministry of Social Development uses big data to profoundly improve the lives of citizens.
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Analyst Report
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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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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White Paper
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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White Paper
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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Customer Story
Taming the data beastThe largest home shopping outlet in Korea used SAS to improve data quality, speed up deployment, gain business efficiency and improve service.
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White Paper
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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White Paper
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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Article
Key questions to kick off your data analytics projectsThere’s no single blueprint for starting a data analytics project. Technology expert Phil Simon suggests considering these ten questions as a preliminary guide.
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White Paper
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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White Paper
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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White Paper
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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Article
5 data management best practices to help you do data rightFollow these 5 data management best practices to make sure your business data gives you great results from analytics.
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White Paper
Eight Considerations for Utilizing Big Data Analytics with HadoopThis paper focuses on eight considerations when it comes to applying big data analytics to extract value from Hadoop. Readers will learn about the importance of in-memory analytics, how to optimize the data preparation processes and the skill sets needed to derive benefits from Hadoop.
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Analyst Report
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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White Paper
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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White Paper
Six Ways to Use Subscriber Data to Build a Stronger Business -
White Paper
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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Analyst Report
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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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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White Paper
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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Analyst Report
Gartner positions SAS as a leader in the Magic Quadrant for Data Integration ToolsSAS is a leader in Gartner's Magic Quadrant for Data Integration Tools. Data integration from SAS helps you break down data silos and boost productivity.
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White Paper
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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White Paper
How Hadoop Helps Realize Big Data ValueLeveraging a big-picture approach to Hadoop opens up a world of
data-fueled opportunities. -
Interview
Toyota Financial Services’ CIO is a model for change: part innovator, part gatekeeper CIO Ron Guerrier walks a fine line, gently snuffing out rogue IT activities activities without impinging on the innovation and real-time needs that drove business users to adopt them in the first place.
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Customer Story
Improving loss ratios and profitabilityTriad Analytic Solutions helps insurers benefit from advanced analytics.
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White Paper
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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White Paper
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. -
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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White Paper
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
CGC refines and enhances risk managementA single version of data across systems helps better manage credit and operational risk, as well as govern and plan with minimized risks and improved judgment.
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Interview
How does one of the largest cities in the world use data for social good? From data privacy to data quality, what are the challenges in using data for social good, and how does one large organization in New York City address them? Hear from a research scientist at the Center for Innovation through Data Intelligence about the data they have, the questions they ask of it, and the data they’d like to see in the future.
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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
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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Analyst Report
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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White Paper
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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White Paper
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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White Paper
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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White Paper
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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White Paper
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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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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White Paper
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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Article
What big data has brought to the privacy discussionHow does big data impact your privacy? There are ways to balance privacy and security in an increasingly transparent and dangerous world.
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White Paper
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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White Paper
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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Article
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.
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Article
5 ways to become data-drivenSuccessful data-driven businesses foster collaborative, goal-oriented cultures, have leaders who believe in data and are governance-oriented. Read more in this summary of TDWI research that uncovers best practices for becoming data-driven.
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Analyst Report
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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White Paper
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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Analyst Report
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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White Paper
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
Three C’s of the connected customer in the IoTTo optimize the connected customer experience, Blue Hill Research says organizations should build an IoT model based on three key features.
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White Paper
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. -
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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White Paper
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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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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Article
Data lineage: Making artificial intelligence smarterFor AI to reach its full potential, the data feeding its algorithms and models needs to be well-understood. Data lineage plays a vital role in understanding data, making it a foundational principle of AI.
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