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Master Data Management

Product Type: Market Research Report
Published by: Bloor Research
Published: May 2006
Product Code: R3467-8
Description
Master data is an age old problem that started the minute there were multiple packaged applications that were each designed to hold their own versions of data in order to function. To tackle this problem, initially the thought was to eliminate the issue altogether by implementing a single ERP system. When it proved unrealistic to move to one enterprise application implementation, the data mart teams stepped in to pull the disparate data together to provide consistent departmental views of information for reporting. Then, when business processes were required to cross application silos, separate application integration teams looked to reconcile data for transactional flow. The result was multiple transactional systems, multiple reporting environments and multiple application integration technologies—all with their own version of the information truth. With this complexity and high investment in place, IT is now being challenged by the business to provide:
  • Enterprise-wide access to information for decision-making.
  • Enterprise-wide business processes that have the agility to cross application and corporate boundaries.
  • Enterprise regulatory compliance.
The experience of the past has proved that the elimination of complexity is not achievable. Therefore the focus has moved to how best to leverage the existing environment and reconcile data across existing silos so that the business can run against a common definition—and so this is the age of master data management.
Table of Contents
Introduction

MDM market definition

Business purpose

Breadth of data

Architectural approach

Key components of Master Data Management

Data access

Key identification

Record management

Hierarchy management

Registry/Repository/Hub

Data governance

Operations and security

Interoperability services

Enabling technologies required for MDM

Data integration

Process workflow

Data quality

Data delivery

MDM within broader Information Management

The Bullseye scoring method

The Landscape Bullseye

Domain dashboards

Summary of Results

Criteria for inclusion

Vendors—Registries

Vendors—Repositories

Vendors—Hubs

Conclusion

Appendix A—The Bullseye scoring criteria

Scores and details

Scores against primary criteria

The Landscape Bullseye

Domain dashboards

Solution views

Interpreting the results

Appendix B—Vendor summary table

MDM activity and characteristics

Scores and comments

Appendix C—Vendor details

Appendix D—Further information

Appendix E—About the author

Bloor Research Overview

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