Five data quality archetypes, part 2
@philsimon on the need to recognize DQ differences.
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.
Five data quality archetypes: Part 1
.@philsimon on the different folks you'll encounter in many large organizations.
The Meta Mistake
.@philsimon on the relationship between metadata and unstructured data.
Can big data and bad administration coexist?
.@philsimon on an important question.
When data isn't sticky enough to keep customers
.@philsimon on the stickiness of data
Mission impossible: Understanding healthcare
So much for a single version of the truth.
Finding the signal in the Twitter noise
Can a neat dataviz find the signal in the noise? Yes.