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This brief white paper outlines information lifecycle management (ILM), a set of strategies for managing the growth, storage and retrieval of information over its useful life. Its goal is to ensure that frequently accessed data is returned as fast as possible, while controlling storage costs.
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Access the following white paper to uncover the tools and strategies you need to know to be able to pull actionable insight from big data. Discover how to choose the right solutions for big data analytics, the challenges of converting big data to insight, and more.
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The following white paper explores the through the eyes of pioneering analyst, Tom Davenport, on the importance of the data scientist when it comes to success with big data and advanced analytics. Learn how they how they help, how to onboard or create them, and much more.
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To fully realize the value of all the data available, companies need to take a more scientific, collaborative approach to business intelligence (BI). In this helpful resource, learn about a relationship-based approach to BI and analytics that realigns key responsibilities to better match the needs of your enterprise.
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Access the following white paper to uncover expert insights on how to leverage business intelligence coupled with predictive analytics to take your customer relationships to the next level. Uncover the importance of customer intimacy and how you can achieve it easily and efficiently.
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Access the following white paper to uncover how a data manager works seamlessly with your Cognos BI solution to help simplify the way your data is presented. Get a firsthand look at how simplification can effectively increase the performance of the end user and more.
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This white paper contains a sampling of real business results that organizations around the world, in a variety of industries, have achieved by upgrading and standardizing on Oracle Database 11g.
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This white paper from Bloor Research examines how IBM's database Informix can be used in a hybrid transactional/analytics environment or for data warehousing applications in today's big data world.
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This executive brief explains how the combination of master data management (MDM) and data quality (DQ) can significantly enhance the accuracy and reliability of data, enabling timely, confident decisions and accurate reporting.
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As research suggests, investments in data integration and analytics that maximize the value of each customer are worthwhile and create potential for financial gain. To quantify the value of those investments, an illustrative $8 billion communications provider was modeled. Results from this effort are presented throughout this paper.
