Q: I think that data quality is very important and that our sources should be profiled but I'm having trouble convincing management to allocate the resources to make it happen. How should I go about it?

Sid Adelman's Answer:

Find the problems where, historically, bad data in your organization or another organization in your industry has been expensive or has caused an embarrassment.

Clay Rehm's Answer:

Data Quality is a very difficult concept to sell to people who don't realize the consequences of bad data. Instead of trying to sell the idea of bad data, sell the idea of the negative things that will happen (and are happening) since your data is not of the quality it should be.

I would not even focus on using the term data quality because most non-technical people feel that is a technical term and not their concern. Focus on the business problems that you are encountering and show a valid relationship between the bad data and the business problem. In addition, provide your possible solutions to the problem.

Adrienne Tannenbaum's Answer:

The best way to get support for this issue is to prove that inconsistent data lost them some money or time - usually not a problem. Cost/benefit is always the best approach.

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