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This paper offers an overview of Oracle Data Mining, detailing how you can build predictive models to better target customers, develop detailed customer profiles and detect and prevent fraud. Read on and learn how this data mining tool eliminates data extraction and movement, delivers the lowest TCO compared to traditional vendors and more.
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Read this brief yet insightful paper now to learn about the basic components of information architecture, including master data management and data quality, and learn how Sybase can enable your company to integrate all of these aspects into a complete and holistic information architecture.
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To extract the most value from data, you need to sort through structured and unstructured data from a variety of sources - and that isn't easy. In this resource, discover how a data exploration tool enables you to improve access to information across your enterprise, and easily visualize and integrate big data for more efficient analytics.
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The IBM Information Management portfolio offers a complete set of solutions designed to help you not only manage your data, but also master it. Read on to learn more about: Data management, information integration, data warehousing and more.
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In October 2010, IBM commissioned Forrester Consulting to examine the total economic impact and potential return on investment enterprises may realise by deploying IBM’s Real-time Compression solution. Read this case study to learn the results.
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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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This paper, based on the CACS and intended for users of the Oracle Data Miner, highlights the telco churn case study using Oracle Data Miner and explains the case study workflow methodology. Read this now and learn about preparing a database scheme and importing a pre-made Oracle Data Miner workflow.
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Successfully managing big data requires more than just analytics -- you need to reduce the cost of managing data while also lowering the risk involved in organizing and protecting it. This resource offers an in-depth exploration of three key objectives to help you efficiently manage data throughout the lifecycle.
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This paper explores how Telecoms who apply information governance to solve business problems and service significant events in a similar manner can recognize significant return. Learn how information governance can help Telecom's improve the quality and reliability of data to increase profitability, reduce unnecessary costs and risks.
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This paper details SAP's range of public sector solutions, designed specifically to assist government agencies in proactively monitoring their current and future spending. Learn how to get a better handle on unspent funds such as unliquidated obligations (ULOs) by drilling into layers of data to create accurate reports and projections in real time.
