Informatica Data Quality

In my last blog post, I discussed the topic of building the business case for data quality. As such, one of the points I mentioned was the need to highlight resulting issues. Since my last post, I have had a number of discussions with clients and prospects on this topic. At the core of these discussions is the same fundamental question – what is the best way to package up the issues we uncover? In answering this, I often discuss the six dimensions of data quality (Completeness, Conformity, Consistency, Accuracy, Integrity, and Duplicates) and how to use a data quality scorecard to present the information in a meaningful way that it can be shared with key stakeholders within the organization. Although my response to this question remains the same, a conversation I overheard at the airport a couple of weeks ago made me look at the need for a DQ scorecard a little differently.

While grabbing a bite to eat prior to a flight, I overheard two gentlemen who were both retired from the newspaper business discussing how people don’t really take the time to read a newspaper like they used to. They were lamenting that people today preferred quick sound bites of information – whether it be from television or from reading one of the various news sites on the Internet.
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