Learn About the Main Components of Master Data Management Solutions.

DUBLIN, Ireland -- Research and Markets (http://www.researchandmarkets.com/reports/c51297) has announced the addition of Understanding Master Data Management to their offering.

Master data management (MDM) is not a new concept - the problem of managing master data has been with us since the beginning of computerised business automation. The topic is currently experiencing a major resurgence in interest because of a renewed desire to exploit data for better business effect, and because MDM is inextricably linked to the current interest in and the drive towards service-oriented architectures (SOAs). With this renewed attention and corresponding hype there is also an equal dose of confusion and misunderstanding surrounding the basic principles of MDM. Most of this confusion stems from inconsistent definitions and conflicting messages from vendors - each vying for that illusive market and mindshare - about what master data actually is, how it should be managed and what technologies should be employed to solve the master data problem.

This report details the basic principles involved in managing master data. It provides a comprehensive definition of master data, details how master data should be managed, and defines the functional scope and main components of a MDM solution. It also discusses the architectural approaches that need to be considered as part of an MDM implementation.

Topics Covered
Key messages

What is master data management?

 Definition
 Scope of this report
 The MDM problem

 The broken promise of packaged business applications
 Increasing heterogeneity = disparate and siloed master data
 Data proliferation = lost business opportunities
 Why is master data such a problem?
 The MDM promise
 Managing master data

 Master data information domains
 Master data characteristics
 Technical architectures for MDM

 Master data record
 Three approaches to MDM
 Centralised MDM
 Virtual MDM
 Reference application MDM
 MDM and SOA

 SOA: from BPM to MDM
 The split personalities of MDM

 Application versus data integration
 Packaged versus DIY approach
 From data to applications
 Beware of silos between solutions
 Operational versus analytical data
 Structured versus unstructured data

For more information visit http://www.researchandmarkets.com/reports/c51297

Source: Ovum