Can We Actually Confront Data Quality with Business Intelligence?

Similar to years past, data quality may yet again win the superlative award for the most discussed topic in the business intelligence industry. Unfortunately, it's becoming about as boring to read as the ubiquitous "Top X Things NOT to do in BI Projects" lists. Yet, for the same reason those articles are written over and over again, and we have to continuously discuss data quality because we're still seeing the same mistakes from years ago.

You might be wondering: "haven't we corrected this by now?" Despite the emergence of tools to assuage our data quality concerns and provide assurances, the topic keeps itself blissfully relevant. Our subtle inconsistencies, poor data collection methods, and our overall lack of time and resources sustain the problems, preventing many organizations squashing the issues at their origin.


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About Mario Barajas
Mario Barajas is a Business Intelligence Consultant for the ZAP US office. He has helped organizations make the most out of their data in Europe, Australia and the Middle East over the last 10 years in the industry. When he's not reading about BI, he enjoys traveling. 

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