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文章 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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文章 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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文章 The importance of data quality: A sustainable approachBad data wrecks countless business ventures. Here’s a data quality plan to help you get it right.
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電子書 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.
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白皮書 IoT success depends on data governance, security and privacyThe IoT puts intense demands on the data management life cycle. Learn from 10 common mistakes organizations have made with IoT endeavors.
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文章 Bringing data to the streamHow much do we know about fresh water systems and the dynamic nature of streams and rivers? Find out how one data scientist turned his fascination with streams and rivers into a career.
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客戶案例 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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白皮書 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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客戶案例 Knowing the who, informs the whatThe New Zealand Ministry of Health established the Virtual Data Registry to more accurately identify diabetes sufferers and citizens likely to contract diabetes. They'll use the database to inform policy and spending decisions that will ensure better care for those patients.
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白皮書 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.
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文章 Data lineage: Making artificial intelligence smarterLear how data lineage plays a vital role in understanding data, making it a foundational principle of AI.
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白皮書 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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分析報告 2024 年 Gartner® 資料科學和機器學習魔力象限™
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網路研討會 The promise of data fabrics for analytics and better decisionsDiscover how to make analytically driven decisions and realize the value of data assets.
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文章 Coming soon: The Industrial Internet and IoT standardsFrom smart farms to connected water meters, the IIoT party is happening – with consensus around IoT standards playing host.
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白皮書 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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文章 5 ways data monetization can inform data strategyData monetization promises more than monetary returns. Anne Buff explains how monetization drives strategy for data-driven organizations.
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白皮書 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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文章 How to improve data prep for analytics: TDWI shares best practicesGetting good results from your data means doing a good job of preparing the data for analytics. Find out what TDWI says it takes to get there.
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白皮書 Governments adapting to changeTop tips for shifting to an enterprise analytics strategy.
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白皮書 Recommendation SystemsIn this paper, Wayne Thompson, PhD, Manager of Data Sciences Technologies at SAS answers common questions about the types of recommendation systems used today, who uses them and why, and the advantages of using them for businesses today. He also delves into how the underlying technology typically works, with a special focus on SAS capabilities and benefits.
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分析報告 SAS 獲評為《Forrester Wave™:2024 年第三季 AI/ML 平台領導者》
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文章 Hadoop in the boardroom?The Hadoop technology trend is still on the rise, with Hadoop uses moving from IT to the business units. But what about Hadoop in the boardroom? Learn why executives are discussing this disruptive technology and what they expect it to provide.