Download Master Data Management in Practice: Achieving True Customer by Dalton Cervo PDF

By Dalton Cervo

During this ebook, authors Dalton Cervo and Mark Allen help you enforce grasp info administration (MDM) inside of your online business version to create a extra caliber managed technique. targeting concepts which can increase facts caliber administration, decrease information upkeep expenditures, lessen company and compliance dangers, and force elevated potency in shopper facts administration practices, the e-book will consultant you in effectively handling and preserving your patron grasp info. you will discover the professional tips you wish, entire with tables, graphs, and charts, in making plans, imposing, and dealing with MDM.Content:
Chapter 1 Defining Your MDM Scope and method (pages 7–28):
Chapter 2 developing powerful possession (pages 29–38):
Chapter three Priming the MDM Engine (pages 39–63):
Chapter four facts Governance (pages 65–94):
Chapter five information Stewardship (pages 95–110):
Chapter 6 information caliber administration (pages 111–140):
Chapter 7 info entry administration (pages 141–161):
Chapter eight facts upkeep and Metrics (pages 163–190):
Chapter nine Maturing Your MDM version (pages 191–199):
Chapter 10 growing the client 360° View (pages 201–214):
Chapter eleven Surviving Organizational switch (pages 215–223):
Chapter 12 past shopper MDM (pages 225–236):

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Additional resources for Master Data Management in Practice: Achieving True Customer MDM

Sample text

Data warehouses are normally optimized to support those queries, making a DF implementation for this purpose potentially unfeasible. If companies go this route, then they should proceed with caution and perform extensive load testing to confirm viability. 6 shows one possible enterprise MDM architecture implementation. In conclusion, the number of combinations of MDM approaches and architectures is large. 6 Enterprise MDM 20 & Master Data Management in Practice general guidelines and the most common implementations.

Spelling this out and planning for how these roles will coordinate with other business and IT roles will take any conflicts or jurisdictional issues out of the debate and enable the data steward functions to more formally thrive in a company’s ecosystem and play a vital role in the MDM process and governance model. 2 illustrates how these roles and relationships become the partnerships and executing dynamic of data ownership. A well-defined and coordinated set of roles and responsibilities between the data governance and data steward roles becomes the focus point for the sponsorship and ongoing execution of MDM process.

A strong data governance program 22 & Master Data Management in Practice facilitates the standardization of business rules, policies, and procedures, therefore increasing the predictability of data changes needed. Data stewardship becomes better equipped to carry on data operations, lowering operating costs related to inefficient business processes, and minimizing the number of workarounds and redundant tasks. Finally, data quality is a core competency of MDM. Data quality practices focus on cleansing, standardization, consolidation, and enrichment of information, therefore lowering costs related to incorrect business decision based on incomplete or wrong information.

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