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I love this article and have been researching the space for a while. I run a data analytics company and totally agree that the MDS is too expensive and not really working. I've also read in many articles recently some stats that authors cite like "85% of projects failing to meet their objectives" which come from reports by VB in 2019 and Gartner in 2017 but that's old research.

I'm sure the failure rate is still high but does anyone have a more recent resources with statistics on data project failures (and data quality costs, another one that gets thrown around is $15 million lost yearly per company to bad data quality from a 2015 report).

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