Intrinsically, you know that you need good data. But how far do you need to go? What are the real costs incurred if you DON’T have clean data? Check out this new SAP Data Quality infographic, which highlights the probably extent of your data quality problems, and the costs associated with those problems. This blog by Ina Felsheim also links to the popular Information Governance infographic.
While some organizations have set up enterprise wide data governance projects including managing and tightly integrating People, Processes, Policies & Standards, Metrics and Tools other companies are still in the starting phase of mostly departmental data cleansing activities. Recent research from Gartner still indicate that the poor data quality is a primary reason for about 40% of all business initiatives fail. Read more in this blog by Niels Weigel.
This document from Dan Bills provides performance throughput numbers for data quality capabilities within Data Quality Management and Data Services v4.2.
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