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Home > 2004 > Integrated Data Warehousing, Business Intelligence & CPM (October) > Round Table - Part 3

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Summary of Reports


 Aleri

 Cognos

 InterSystems

 Sage

 Trillium Software



Management Briefings



 Market Overview | Part 2 | Part 3

 Project Management: Cath Lavery of Newell & Budge | Part 2

 Market Direction: Accenture's Gregg Taylor | Part 2 | Part 3

 Round Table | Part 2 | Part 3

 Assisted Analytics: John Coppins of Guided Analytics | Part 2

 Case Study: Conchango's Stephen Bond | Part 2

 Best Practice: Calleva's Chris Maxwell | Part 2

 Market News | Part 2

 Security Issues: Rupert Cavendish of Iconium reports | Part 2

 Management Issues: Temtec's Alan Parker | Part 2

 Expert Opinion: Mark Keepax of Dimension Data

Issue Summary

What’s the secret to getting the best from data warehouse, BI and CPM systems? Pat Sweet asks four industry experts.

Finding the right answers - Part 3 | Part 1 | Part 2

Gareth Henham: better quality often not achieved

IT SERVICES GROUP: Xansa
Interviewee: Gareth Henham, head of the BI and data management practice.

Q1. Data quality.

A: Often the quality of the data input is assumed to be of a satisfactory level mainly due to the fact that it supports the operational systems and no-one ever measures it. Better quality is often not achieved because of a lack of focus in three key areas – information strategy, information architecture and data management.

A business must first devise an overall strategy for exploitation of the information available to it. This should address corporate reporting needs as well as set expectations. Working with key business managers is the vital ingredient for success. The output is all about understanding what information is needed to manage the business and how this will be made available to the end user via the information architecture.

It is not sufficient to measure the quality of the data at a particular time and build the solution based on that analysis. Data management has to be treated as an ongoing process that needs to be embedded in the organisation – rather than a one-off activity – so that the quality of the data improves over the long term.

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Home > 2004 > Integrated Data Warehousing, Business Intelligence & CPM (October) > Round Table - Part 3