Read more
Informationen zum Autor David Loshin is President of Knowledge Integrity, Inc., a company specializing in data management consulting. The author of numerous books on performance computing and data management, including “Master Data Management" (2008) and “Business Intelligence – The Savvy Manager’s Guide" (2003), and creator of courses and tutorials on all facets of data management best practices, David is often looked to for thought leadership in the information management industry. Klappentext A recent Information Week article told us that the amount of data stored in business now doubles every 12-18 months, and that the demand for information is increasing at such a fast pace that IT organizations are struggling to deliver timely responses to the information requests of businesses. Because of the unfortunate state of most companies' information architecture, these requests take months, not days, to satisfy. Many organizations are re-examining their existing approaches to managing data and ensuring the foundation of information management is well-managed. This book will appeal to IT architects and others, including consultants, who need to improve existing data warehouse and business intelligence initiatives, and provide a focal point for data quality--far beyond what using vendor tools alone can do. Zusammenfassung The key to a successful MDM initiative isn't technology or methods! it's people: the stakeholders in the organization and their complex ownership of the data that the initiative will affect. This title equips you with a practical! business-focused way of thinking about MDM. It also provides guidelines for determining which data to 'master'. Inhaltsverzeichnis Chapter 1) Introduction: Master Data and Master Data ManagementChapter 2) Business Process Models, Stakeholders, and Participant CoordinationChapter 3) MDM Maturity and the Implementation RoadmapChapter 4) Enterprise Data GovernanceChapter 5) The Value of Data QualityChapter 6) Data Standards and Metadata ManagementChapter 7) Identifying Master Data Chapter 8) Data Modeling Issues for MDMChapter 9) MDM Paradigms and ArchitecturesChapter 10) Data Consolidation and IntegrationChapter 11) Master Data Synchronization - Chapter 12) The Functional Application Services LayerChapter 13) Management Guidelines and Summary...
