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Access this brief resource today to learn about a platform that makes reliable, trusted business intelligence (BI) data available in familiar Microsoft Office applications – giving you a single, trusted version of the truth.
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This brief resource examines how many industries, like the video gaming industry, can use big data analytics to capture and analyze customer behavioral data in order to respond to customer demands and deliver better experiences.
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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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Today's business intelligence platforms are expensive, labor-intensive to maintain, and have a low adoption rate with business users. This resource introduces an out-of-the-box BI tool that conquers these challenges – read on to learn how.
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There's a lot of advice available on data governance best practices that should be adopted; this expert guide lists the top "worst practices" that your company needs to avoid. Read on to access a roadmap of red flags to alert you that your governance program may be heading down the wrong path.
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In this informative resource, you'll learn how to easily use Excel to extract data from your database in a way that facilitates further analysis and uses standard Excel functions. Discover the 12 functions your database must support in order to turn Excel into an advanced BI tool.
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The following white paper explores the current market need for higher performance analytics and introduces an all-inclusive analytics solution that can handle complex environments, big data growth, and scalability. Read on to learn how you can gain better actionable insights, save capital, and more.
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This resource explores how businesses big and small are navigating the challenges of a big data 2.0 world, and explains how predictive analytics can turn big data into business value.
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In this expert e-book, find out why in a recent TechTarget survey, predictive analytics was the top choice for planned BI and analytics investments, and how adoption of Hadoop has already allowed major companies to take the next step in big data management.
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Data science, predictive analytics and machine learning applications start with data collection and data mining tasks that set the stage for analysis. Learn how to manage your data mining tasks and data science applications to help ensure that your big data analytics program is in the corporate spotlight for all the right reasons.