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?
Here is a different suggestion: Instead of focusing on the tools approach, think about standardizing your data management and data quality policies and procedures, and review how your current processes could be streamlined, both in terms of maintaining the current manual methods and replacing them with new tools. This data governance assessment and standardization may provide a much greater lift in a shorter time frame in terms of data quality and data consistency improvement. Email me and let me know if that works, or if you have more questions.
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