Enterprise Master Data Management

Companies moving toward flexible SOA architectures often face difficult information management and integration challenges. The master data they rely on is often... » 

Companies moving toward flexible SOA architectures often face difficult information management and integration challenges. The master data they rely on is often stored and managed in ways that are redundant, inconsistent, inaccessible, non-standardized, and poorly governed. Using Master Data Management (MDM), organizations can regain control of their master data, improve corresponding business processes, and maximize its value in SOA environments.

Enterprise Master Data Management provides an authoritative, vendor-independent MDM technical reference for practitioners: architects, technical analysts, consultants, solution designers, and senior IT decisionmakers. Written by the IBM® data management innovators who are pioneering MDM, this book systematically introduces MDM's key concepts and technical themes, explains its business case, and illuminates how it interrelates with and enables SOA.

Drawing on their experience with cutting-edge projects, the authors introduce MDM patterns, blueprints, solutions, and best practices published nowhere else - everything you need to establish a consistent, manageable set of master data, and use it for competitive advantage.

Coverage includesHow MDM and SOA complement each otherUsing the MDM Reference Architecture to position and design MDM solutions within an enterpriseAssessing the value and risks to master data and applying the right security controlsUsing PIM-MDM and CDI-MDM Solution Blueprints to address industry-specific information management challengesExplaining MDM patterns as enablers to accelerate consistent MDM deploymentsIncorporating MDM solutions into existing IT landscapes via MDM Integration BlueprintsLeveraging master data as an enterprise asset - bringing people, processes, and technology together with MDM and data governanceBest practices in MDM deployment, including data warehouse and SAP integration «