A Decision is a prerequisite for success with predictive analytics

January 29, 2009
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Eric Siegel is blogging in the build up to Predictive Analytics World (at which I am speaking and teaching a workshop). He posted Predictive analytics FAQ #1: Prerequisites for success.I liked his list but personally I would have added another:

Know the decision(s) you want to influence

Unless you have a decision or decisions in mind when you start it is all to easy to generate insight without any understanding of how you will make it stick – how it will make a difference. Starting with the decision in mind helps focus the analytic effort on improving that decision. If it is a strategic decision, it focuses the project on helping an executive. If it is an operational one, it means thinking about how the results could be deployed into production.

I would also add something to his point about “General understanding and buy-in of a predictive analytics initiative by stakeholders across business functions”. For many predictive analytics projects this needs to include the IT department and the folks working on BI/DW projects and all too often predictive analytics projects include neither.

Note that I am now blogging new posts here on b-eye-network.com and focusing only only BI and analytic


Eric Siegel is blogging in the build up to Predictive Analytics World (at which I am speaking and teaching a workshop). He posted Predictive analytics FAQ #1: Prerequisites for success.I liked his list but personally I would have added another:

Know the decision(s) you want to influence

Unless you have a decision or decisions in mind when you start it is all to easy to generate insight without any understanding of how you will make it stick – how it will make a difference. Starting with the decision in mind helps focus the analytic effort on improving that decision. If it is a strategic decision, it focuses the project on helping an executive. If it is an operational one, it means thinking about how the results could be deployed into production.

I would also add something to his point about “General understanding and buy-in of a predictive analytics initiative by stakeholders across business functions”. For many predictive analytics projects this needs to include the IT department and the folks working on BI/DW projects and all too often predictive analytics projects include neither.

Note that I am now blogging new posts here on b-eye-network.com and focusing only only BI and analytic topics. You can find my full feed on my personal blog JT on EDM. You can subscribe to the feed too – feeds2.feedburner.com/jtonedm.


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