Data management strategies

Data is a corporate asset that helps make more-informed business decisions, improve marketing campaigns, optimize business operations and reduce costs. Learn data management strategies to ensure IT systems run business applications and provide analytical information that drives decision-making and strategic planning by corporate executives, business managers and end users.

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  • Feature 21 May 2009

    The importance of managing data assets

    Get an overview of data management and data lifecycle, learn how important managing data and data assets is and learn how to control data in this information management tutorial. Continue Reading

  • Feature 26 Jan 2009

    Designing an MDM project plan

    Master data management (MDM) projects require enterprise buy-in and participation in order to be successful. In this chapter, learn how to identify the people in the organization that can benefit from MDM and how to assemble an MDM project team. Discover how to establish and communicate the MDM business case, learn tips for collecting and prioritizing data requirements, developing a plan for enterprise data integration and designing a migration plan for the participating applications. Learn how to tackle these key steps and how to develop a successful MDM project plan in this chapter. Setting the stage for assembling the right team for an MDM program involves determining the best opportunities to socialize the internal value across the enterprise landscape. As this chapter has shown, this socialization is performed along a number of avenues: Communicating the value of presenting a centralized master data asset to the business clients, application owners, and operations staff Identifying the key stakeholders that will participate in the MDM program Carefully articulating within a project charter what will be achieved by the MDM program and how the corresponding milestones will be reached Providing a means for coordinating the participants to reduce conflict and encourage consensus Carefully detailing roles and responsibilities Analyzing the data requirements to establish MDM feasibility ■ ■ ■ ■ ■ ■ 2.7 Summary Continue Reading

  • Answer 14 Oct 2008

    What's the difference between SOA and Web services?

    How are Web services and service oriented architecture (SOA) different? Find out in this expert response. Continue Reading

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  • Feature 13 Mar 2008

    IT project management: The cost estimating process

    Learn about the cost estimating process in IT project management by reading examples and definitions of cost estimation terms, in this free chapter download. Continue Reading

  • Feature 28 Jan 2008

    Personal information management: History and details

    Learn about personal information management and why managing personal information is especially important in today's data inundated world. Continue Reading

  • News 22 Jan 2008

    Active data warehousing explained and examined

    Active data warehousing brings business intelligence to more operational decision-making processes. Find out how, and why, active data warehouses enable competitive advantages. Continue Reading

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  • Feature 01 May 2007

    MDM-CDI project implementation guidelines

    This chapter excerpt deals with the practical aspects of implementing MDM-CDI solutions as complex, multidisciplinary, enterprise-wide projects or programs. Implementing MDM-CDI solutions requires an approach that may be even broader than a single project, and should be managed as an initiative-level, enterprise-wide program. Continue Reading

  • Feature 20 Apr 2007

    Data governance: Information ownership policies and roles explained

    Who owns the data? This chapter defines information ownership boundaries and best practices, and outlines the specific roles and responsibilities of all involved in the battle for data governance. Continue Reading