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Today, business need a fast and simple way to analyze data. Unfortunately, many users have limited access to the information they need. Consult this resource to find out how a personal analytics tool can help improve your employee performance. It explains several beneficial applications and the new opportunities they will provide.
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The following white paper reviews the business drivers that are impacting the new wave of data management, highlights the new tools companies have for consideration in their next generation data architecture, and finally outlines a total data management blueprint for consideration in your big data strategy.
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By using the Oracle big data appliance with Oracle Exadata, enterprises can acquire, organize and analyze all their enterprise data to make the most informed decisions.
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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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Read this white paper and learn how the data warehouse, metadata and modeling environment will be transformed in the next few years — and what you need to do to leverage it for your business, the major components of DW 2.0 architectures, and key modeling and metadata management strategies for DW 2.0.
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View this white paper to learn how IT decision makers can drive faster analytics over large data volumes in a data warehouse. It outlines how you can give end users the ability to have a more interactive analysis using online analytical processing (analysis.)
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This customer reference booklet contains a sample of real business results that organizations around the world, across a variety of industries, have achieved by upgrading and standardizing on Oracle Database 11g.
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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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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.
