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Other Directories, Comparisons, Research 2008 Data Warehousing, Business Intelligence & CPM (February) Master Data Management: ...

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Summary of Reports

 BOARD

 COA Solutions

 Kognitio

 LSA Solutions

 Microsoft

 Pervasive Software

 SAP

 SAS

 Visibility

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Management Briefings



 Market Overview & Analysis: Conspectus’ latest research | Part 2

 Expert Opinion: Deloitte Consulting's Alex Plenty

 View from the Top: Train operator Southern | Part 2

 Implementation Issues: BearingPoint's CJ Cox | Part 2

 Vendor Issues: Vuk Trifkovic of Datamonitor | Part 2

 BI 2.0: Gerry Brown of Bloor Research | Part 2

 Benefits Realisation: Roger Freeston of Medley Business Solutions | Part 2

 Skills Development: Darron Chapman of TFPL Recruitment | Part 2

 Text analytics: Fern Halper of Hurwitz & Associates | Part 2

 Master Data Management: Mike Ferguson of Intelligent Business Strategies | Part 2

Organisations who accept the need for master data management still have a massive change management effort ahead of them, says Mike Ferguson.

MDM: the task ahead - Part 1 | Part 2

Many organisations have recognised that in order to make full use of their information, they need to extract business intelligence from their whole complement of applications. To do this, the data held across the company has to be managed in the same, standard way. This is known as introducing enterprise-wide master data management.

In fact, organisations can deploy four kinds of MDM systems – a rules-based MDM synchronisation system, a virtual (aka registry-based) MDM system, an MDM data hub, and an enterprise MDM system:

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Other Directories, Comparisons, Research 2008 Data Warehousing, Business Intelligence & CPM (February) Master Data Management: ...

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