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This timely white paper takes an in-depth look at the enormous growth of health care data and offers ways to overcome the challenges associated with it. Specifically, uncover how you can manage and secure the increasingly large data sets every organization is coping with.
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How can you tap into today's data growth trend to improve processes? This white paper examines the drastic explosion of data and explores how governments have begun to handle this massive influx of information.
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This research paper, based on independent third-party research and MicroStrategy surveys of customers using business intelligence (BI) in 64-bit environments, explores adoption trends leading to a 64-bit era in business intelligence. Read on to find out so much more.
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This white paper focuses on the use of a log-based, real-time change data capture (CDC) solution to enable real-time reporting using a low overhead solution that minimizes the impact on IT infrastructure.
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Read this paper to learn how IBM Information Archive helps you store, retrieve, manage, share and protect regulated and non-regulated data with a design that is both highly secure and extremely cost efficient.
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This white paper considers a 10 stage data science methodology that spans technologies and approaches. Access now and dive in - discover what you need to do to form an iterative process for using data to uncover insights.
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This white paper discusses: What is an industry model? What is the value of industry models? Considerations for building or buying data models IBM Industry Models—business and technical blueprints Reducing time to value with IBM Industry Models
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The goal of this white paper is to focus on the key issues involved in developing an e-discovery capability and to help organizations plan to become better prepared for the rigors of the e-discovery process.
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BusinessWeek Research Services (BWRS) launched a research program in April 2009 to determine the attitudes and opinions of C-level executives with regard to the use and value of business analytics. This paper reviews a portion of the research and provides analysis and insights on the topic of business analytics.
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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.
