Should You Build BI Before You Clean Your Data?

Implementing a business intelligence environment against data you don't trust?  Sounds counter-intuitive, some would say: ‘just plain wrong.'  How could you possibly build a data warehouse and cubes on data that might not be accurate?  You shouldn't of course, and that is the point. Accurate data is the non-negotiable cornerstone of any BI effort. 

But accurate data does not happen by itself.  Data needs to be enthusiastically governed to a state of truth and reliability, and this is a big job.  So big in fact, that attempting a global data governance initiative can cost so much time and energy as to obliterate the initiatives it was designed to support in the first place.

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About Jon Oesch

Loves ERP, Loves Data.  Loves what happens when data from a transaction processing system gets turned into usable information that people can rely on; "It's like that chemistry lab in college where you walk in with your raw supplies and leave with a perfectly round rubber ball."

VP of Business Intelligence Sales at Jet Reports.  Speaks, writes, blogs and tweets about BI strategy - sometimes in his sleep.

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