Data retention strategy – Part 2
Don't be a data hoarder. Jim Harris shares guidelines for a data retention strategy.
Author
Jim HarrisRSS
Blogger-in-Chief at Obsessive-Compulsive Data Quality (OCDQ)
Blogger-in-Chief at Obsessive-Compulsive Data Quality (OCDQ)
Jim Harris is a recognized data quality thought leader with 25 years of enterprise data management industry experience. Jim is an independent consultant, speaker, and freelance writer. Jim is the Blogger-in-Chief at Obsessive-Compulsive Data Quality, an independent blog offering a vendor-neutral perspective on data quality and its related disciplines, including data governance, master data management, and business intelligence.
Data retention strategy – Part 1
Jim Harris asks: Do you retain and maintain data, or do you have a data retention strategy?
Streaming data analytics
Jim Harris says streaming data analytics can drive better decisions and faster adaptation to changing conditions.
Data preparation for streaming data
Jim Harris considers the technical infrastructure challenges of data preparation for streaming data.
How a data-driven business supports analytics goals
Jim Harris says a data-driven business can make decisions faster, using better data, with more transparency about results.
Data governance steers a data-driven business
Jim Harris shows how data-driven businesses incorporate three aspects of data governance to guide their decisions.
Reusable data quality enables self-service data preparation
Jim Harris says more reusable data quality processes mean less reliance on IT and higher productivity across the board.
Discoverability enables self-service data preparation
Get faster value out of your data by empowering business users to work with data on their own.
Self-service data preparation gives fast access to the data you need
Get on with your day faster by taking a self-service approach to data preparation.
Data privacy concerns in the age of big data
Jim Harris considers whether we can save private data in the age of big data.