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Other Directories, Comparisons, Research 2003 Data Warehousing, BI & Analytics (February) Summary

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Summary of Reports

 Ascential Software

 Avellino

 Computer Associates

 Cosmic Solutions

 Hewlett-Packard

 Information Builders

 Oracle

 Sagent

 SPSS

 Syncsort

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Management Briefings



 Market Overview | Part 2 | Part 3

 Expert Opinion: Mike Ferguson of Intelligent Business Strategies

 View from the Top: Thomas Nielsen of retail group Allders | Part 2

 Market Trends: Philip Evamy of international consultancy SchlumbergerSema | Part 2

 Strategy Issues: Rupert Cavendish of Kairon | Part 2

 Project Management: Iyas AlQasem of consultancy Conchango | Part 2

 BI Market: Datamonitor’s Andreas Kolind | Part 2

 New Technologies: Alex McMorland of ClarityBlue | Part 2

 Deployment: Chris Dennison of Axon | Part 2

 User View: Haydn Durrant of Phusis | Part 2

 Case Study: John Simpson of Simpson Associates

Data Warehousing, BI & Analytics (Conspectus February 2003) Summary

Data warehousing, business intelligence (BI) and analytics software represents one of the more rewarding, and difficult, areas for corporate IT buyers.

As our market research underlines, most UK organisations are giving high priority to gathering their customer and other information into a central data warehouse, then using BI and analytics software to understand the strategic implications of the data.

With data warehousing technology now established, there are few reported problems in this area. A bigger challenge comes in the more immature BI and analytic software markets – where buyers face a wider and rapidly changing choice of vendors and products.

Yet these applications are no icing on the cake: they are more like the last vital piece in the jigsaw, helping companies see the Big Picture concealed within their data.

Our management briefing articles focus on the changing shape of the market, with advice on how to ensure data warehousing, BI and analytics projects succeed.

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Other Directories, Comparisons, Research 2003 Data Warehousing, BI & Analytics (February) Summary

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