The follwing is an important article at CIO.com about improving data governance. The reality is such that if organizations are not considering the “data quality” factor in their BI initiatives, then projects will prove tenuous and fall short of their promised ideal. Fortunately, companies such as Business Objects offer complete integrated Data Quality capabilities within their BI tools that can correct and address data issues as BI is deployed. have a read and enjoy!
“January 03, 2008 — CIO — Despite the idea that business intelligence is a crucial tool for getting and keeping customers, adequately measuring company performance, and delivering flexibility, challenges remain. One of the most important: data governance.
Although data governance is crucial to successful BI and data warehouse efforts, it isn’t easy. To the rescue: five dirty data practices you may be guilty of, and five ways to clean them up.
Dirty Data Practice No. 1
You think buying the coolest business intelligence tool is all you need.
It may be a truism that your BI reporting tools are only as good as the information you feed them (that is, “garbage in, garbage out”), but that doesn’t mean that the right actions are a given. Since most organizations still take an isolated view of data, data governance remains a difficulty, says Ian Charlesworth, principal analyst with IT consultancy Ovum. Data is all too often siloed in different business units and is entered, treated and viewed differently, making “one version of the truth” impossible.”
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