Decision Management, Big Data and McKinsey

Cross posted at JTonEDM McKinsey just published a new study “Big Data: the next frontier for innovation, competition and productivity” that is definitely worth reading. With lots of detail – it runs to more than 150 pages – it discusses why there is so much more data, what that means and how this data can [...]

Human and Automated Judgment

Tom pointed me to an interesting article recently – Judgment Call or Automated Decision—Or Both? – by Jan Abrams. It’s an interesting article and I go back and forth as I read it in terms of agreeing or disagreeing with Jan. First, let me say that the use of automated decisioning systems and credit scores [...]

Elements of Business Analytics

My friends at SAS, a sponsor of IIA, have a nice piece on their Knowledge Exchange – Elements of a Business Analytics Framework for IT. This lays out their view on the different kinds of decision types and maps them to decision frequency. Both in Smart (Enough) Systems and in my blog posts (like this [...]

Agile AND Industrial Analytics

I wrote a post called “It’s time to industrialize analytics” for Smart Data Collective a little while ago and it prompted Tom to reply with Agile vs Industrialized. To recap, the key point of my post was that we need to move away from analytics as a pure craft to one that has a more [...]

Decisions, Decision Management and Analytics

decisions

Tom Davenport was interviewed recently by the Sloan Business Review on Reengineering your decision making processes about analytics and how companies make decisions. While the interview is mostly focused on manual decision making, many of the points are just as valid when you consider decision management and decisioning technology as I do. Analytics, says Tom, [...]

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