"Data Quality Happyland: How To Get There?"

Many organizations are suffering from poor data quality. Some know about their issues, but for many the extent of costs they are incurring due to data non-quality remains largely hidden1. Since nobody is happy with poor quality, the ubiquitous question is: “How do I accomplish sustainable improvement in data quality?”

The reason this is such a challenging question lies in the fact that every company needs different measures, a unique approach. One size does not fit all. But although there are so many differences, there is nonetheless a structure, a pattern that can be discerned which predictably leads to improvement. In this paper we’ll expose a simple and familiar framework to guide your progress. Identifying where you are in this structure helps you determine where your highest leverage points for change are. And also, how you can make your improvement effort last.

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