Greetings!
Welcome to the October edition of Synergise.
In this edition, much attention is paid to getting things right at the ground level - with an introduction to concepts such as Master Data Management and key considerations for ETL architecture according to the Kimball institute.
If you haven't yet registered for IBM Cognos' Performance 2009 which is in early November, we really recommend you do.
Sincerely,
Priscilla Doig
Marketing Manager
Synergy Business Intelligence |
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Doing BI the Iterative Way
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According to Carl Hochfeldon, Senior Consultant for  Synergy BI: While silver bullets and big bangs may hold the promise of rapid and instant results, where complex software projects are concerned, such approaches also carry the risk of delivering serious disappointment rather than the anticipated value.
That's why an iterative approach to business intelligence deployments is often the more sensible one: begin with the basics then steadily build on a solid foundation.
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Kimball University: Six Key Decisions for ETL Architectures |
 This article highlights Kimball University's six key decisions for extract, transform and load architectures. The best-practice advice encompasses software versus coding, where to integrate, how to capture changed data, when to stage data, where to correct data and what latency levels to shoot for. |
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Did you know? |
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Do you know about the Data Warehouse forum available on the Kimball website?
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The Seven Deadly Sins of Data Modelling |
 ...why is it, some 3 decades on, that in many organisations, the benefits of data modelling still need to be "sold" and in others the big benefits simply fail to be delivered? Is there something that WE the information architecture community are doing wrong?
I'd like to suggest seven key areas where we are committing deadly sins!
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Introduction to Master Data Management |
 What is Master data Management, and why should you care?
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Master Data Management and the Challenge of Reality |
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 One of the central problems of master data management, which is often poorly stated, is the need to determine if one individual thing is the same as another individual thing. But the only way we have to do this is by matching records, and a record is not the same as the thing it represents. Unlike The Matrix, we are more in danger of confounding two "realities" rather than recognizing them as distinct.
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Do you have a tip or technique you'd like to share with other Synergy BI customers of IBM Cognos products?
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