2008 Data Governance Data Quality Predictive Analytics 
Domino Data Lab
JULY 22, 2019
data science’s emergence as an interdisciplinary field – from industry, not academia. why data governance, in the context of machine learning is no longer a “dry topic” and how the WSJ’s “global reckoning on data governance” is potentially connected to “premiums on leveraging data science teams for novel business cases”.
Jim Harris
JULY 13, 2015
Background: “Apathy is the enemy of data quality”. I began work on data quality in the late 1980s at the great Bell Laboratories. This led me to conclude, by about 2000, that apathy was the number one enemy of data quality. I especially wanted to identify industries that were ripe for data quality.
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