The next data governance challenge: Agility
.@philsimon says that data-governance professionals will need to be more agile than ever.
Author
Phil SimonRSS
Author, Speaker, and Professor
Author, Speaker, and Professor
Phil Simon is a keynote speaker and recognized technology expert. He is the award-winning author of eight management books, most recently Analytics: The Agile Way. His ninth will be Slack For Dummies (April, 2020, Wiley) He consults organizations on matters related to strategy, data, analytics, and technology. His contributions have appeared in The Harvard Business Review, CNN, Wired, The New York Times, and many other sites. He teaches information systems and analytics at Arizona State University's W. P. Carey School of Business.
What AirBNB teaches us about traditional data governance
.@philsmion says that even the "best governed" organization today isn't safe from inquiring minds.
Should organizations separate analytics governance and data governance?
.@philsimon asks, Rather than trying to tackle a new form of governance, wouldn't your organization do better to shore up its existing data-governance practices?
Why an agile mind-set will lead to better data prep and analytics
.@philsimon on the need to adopt agile methodologies for data prep and analytics.
Better tech means better analytics and less data prep
.@philsimon chimes in on new data-gathering methods and what they mean for analytics.
Data prep should not be a one-time exercise
.@philsimon on the downside of the Band-Aid approach.
Data prep considerations for analytics, Part 2
.@philsimon continues his series on data prep and anlytics.
Data prep considerations for analytics, Part 1
I'm hard-pressed to think of a trendier yet more amorphous term today than analytics. It seems that every organization wants to take advantage of analytics, but few really are doing that – at least to the extent possible. This topic interests me quite a bit, and I hope to explore
Modernization requires unification
.@philsimon channels his inner Queen Latifa.
ETL and data warehouses are dead! Long live ETL and data warehouses!
Why they will still play a valuable role in organizational data-management and -integration efforts.