QUESTION POSED ON: 17 August 2009
We use SAP as our ERP system. Our data quality efforts focus on master data and we do this by manually running query extract of the data, inspecting it and then making the corrections (passive data quality). Our data capture and load programs have good data validation logic/routines but they aren't perfect, hence the need to manage the back-end data.
The company is not convinced that an investment in costly data quality tools is necessary, but the overhead to manually administer data quality is huge and is producing sub-optimal results.
I have thought about trying to put a justification proposal together, but the buzz is that "it won't fly so don't waste your time." What steps would you recommend to help me improve our data quality, given the stated limitations?
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