Data Governance Data Quality Uncertainty Workshop 
Jen Stirrup
NOVEMBER 15, 2022
The foundation should be well structured and have essential data quality measures, monitoring and good data engineering practices. Systems thinking helps the organization frame the problems in a way that provides actionable insights by considering the overall design, not just the data on its own.
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”.
Expert insights. Personalized for you.
145 
Let's personalize your content