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This resource examines the value of metadata in business intelligence, and introduces a metadata modeling tool for managing access to all existing data sources and ensuring data trustworthiness.
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Access the following white paper to explore the primary causes of monetary loss the healthcare industry today. Learn how big data analytics offers a solution that can create customized care at a lower cost, dramatically improve disease prevention, reduce hospital readmission, and more.
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The following white paper explores the process on how to build a simpler BI environment that still supports necessary business requirements without the headaches. Learn about the technology to make this easier, the strategies to use, and more.
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Join analytics pioneer Tom Davenport in the following Q&A as he explores the evolving state of analytics. Learn what you can do to prepare for analytics 3.0, how you can get there, and which tools and supporting roles you need to make it all happen.
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Access the following white IDC research paper to uncover the requirements and drivers for acquiring a data discovery platform. Also learn about the capabilities with deployment, recommendations to choose from, and more
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The following white paper outlines the top 6 worst practices that most businesses are guilty of doing. Learn how you can easily avoid these common mistakes and start moving towards a far more effective business intelligence initiative.
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This whitepaper discusses the advantages of taking a proactive approach to leveraging data can reveal fast, effective pathways to improving quality. Read on to find out how to stop being reactive with your workflow improvements, and how focusing on quality can help mitigate risk.
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This technical resource examines three key new features of SQL Server 2014 that deliver mission-critical performance, faster data insights, and migration of data to the cloud.
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This white paper considers the essential questions when it comes to implementing self-service analytics. Access now to see what role big data plays, how to cater to the needs of different users, and if your data is self-service ready.
