Data governance implications for the chief data officer
Reconsider conventional assumptions about data governance – three suggestions for chief data officers.
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5 principles of data management for analytics
Joyce Norris-Montanari cites five things she considers essential to data management for analytics.
Making life easier for your data scientists
Phil Simon chimes in with some tips on how to set these folks loose.
Data is not the only decision maker
Jim Harris says people still play a pivotal role in data-driven decision making.
Trust in the data: Ensuring quality analytics (continued)
How should a data trust process work? David Loshin elaborates.
Amazon's data train just keeps a rollin'
Think that the company has let up in the last two years? Think again.
Data management for analytics: Best practices and examples
Focus on data governance, quality and storage if you want to do data management for analytics right.
Growing importance of data lineage when managing data for analytics
Jim Harris says learn the lineage of the data that fed the analysis before you get dazzled by visualizations or algorithms.
Trust in the data: Ensuring quality analytics
David Loshin raises questions about what needs to be done to ensure quality analytics.
The relationship between data management and analytics: Lessons from the field
Phil Simon shares some lessons from his consulting career.