Getting Started with Predictive Analytics in the Public Sector
On Tuesday night I presented Getting started with Predictive Analytics in the Public Sector to a public meeting of Analyst First in Canberra.
The presentation itself is an update of one given in June to Canberra’s IBM Business Analytics User Group. For this version I added material describing how analytics supports the risk management cycle, and incorporating some insights from Jim Manzi’s excellent Uncontrolled: The Surprising Payoff of Trial-and-Error for Business, Politics, and Society.
Part 1 of the highly recommended Uncontrolled covers the evolution of the scientific method (from Bacon on experimentation, to Hume on induction, to Popper on falsification, to Kuhn on scientific paradigms, through to the present day). Part 2 looks at the development of randomised field trials in the latter half of the twentieth century and their applications in medicine and business (i.e. analytics). Part 3 advocates the more widespread and systematic use of randomised field trials to areas of public policy, learning from the business experiment revolution.
Our thanks to BAE Systems for providing the venue.
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About us
Analyst First is a new approach to analytics, where tools take a far less important place than the people who perform, manage, request and envision analytics, while analytics is seen as a non-repetitive, exploratory and creative process where the outcome is not known at the start, and only a fraction of efforts are expected to result in success. This is in contrast with a common perception of analytics as IT and process.Authors
- Eugene Dubossarsky (43)
- Greg Taylor (4)
- John Lowry (1)
- Richard Fraccaro (1)
- Stephen Samild (87)
- Tapir (1)
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