Hi ,
When it comes to awareness and understanding, what we know and don’t know can be split into four categories: known knowns; unknown knowns; known unknowns; and unknown unknowns. And to quote former US Secretary of Defence Donald Rumsfeld:
“If one looks throughout the history of our country and other free countries, it is the latter category that tends to be the difficult ones.”
When Rumsfeld made his famous “unknown unknowns” speech, he was referring to military intelligence. But the concept of “unknown unknowns”
is just as relevant to data and data science. Those data dark spots, or data gaps, can be a real issue when it comes to data-driven decision making.
In the latest episode of Value Driven Data Science, I'm joined by Matt O'Mara, Managing Director of Analysis Paralysis and founder and Director of i3, to discuss the challenges and risks data gaps present to businesses and the
community, and what data scientists can do to help address this issue.
Highlights include:
- (00:55) Understanding information gaps
- (02:33) Matt O'Mara's journey and insights
- (04:58) Real-world examples of information gaps
- (07:30) The impact of information
gaps on society
- (11:54) Organizational challenges and solutions
- (25:55) Critical information sources and management
- (31:33) Developing an information lens
- (42:47) The role of data scientists in addressing information gaps
- (45:29) Conclusion and contact information
You can listen to this episode at the link below, or find it on Apple Podcasts, Amazon Music, Spotify or Google Podcasts.
