OCT 26, 2010 10:13am ET

Related Links

Business Analytics Services Spending to Reach $89.6 billion in 2018
September 15, 2014
Artificial Intelligence Meets the C-suite
September 15, 2014
Mayo Clinic to Use Watson to Bolster Trial Enrollments
September 11, 2014

Web Seminars

Why Data Virtualization Can Save the Data Warehouse
Available On Demand
Essential Guide to Using Data Virtualization for Big Data Analytics
September 24, 2014

The Science of Business Manifesto – Part 2


In Part 1 of “The Science of Business Manifesto,” I discussed at a high level using the long-established scientific method of observe, hypothesize, predict and test as a foundation for performance management and BI. In Part 2, I will delve into a bit more detail, paying special attention to the transition from business to science – from strategy/hypothesize to test/evaluate.

Get access to this article and thousands more...

All Information Management articles are archived after 7 days. REGISTER NOW for unlimited access to all recently archived articles, as well as thousands of searchable stories. Registered Members also gain access to:

  • Full access to information-management.com including all searchable archived content
  • Exclusive E-Newsletters delivering the latest headlines to your inbox
  • Access to White Papers, Web Seminars, and Blog Discussions
  • Discounts to upcoming conferences & events
  • Uninterrupted access to all sponsored content, and MORE!

Already Registered?


Comments (1)
Very interesting post. There's a lot of stuff up these days about who owns data, is responsible for it, and even how infrequently data plays a role in major business decisions. and of course, there's the question of who's to blame when bad data drives bad decisions.

Here's my question though: the folks making the decisions in business today are mostly not scientists. And, even if they are, the people who are demanding their decisions aren't scientists and therefore don't build in reasonable time frames for scientific inquiry.

How do you get to a place where the business respects the process of data quality, governance,enhancement, analysis etc. so that they support it with the time and resources necessary to support a sensible, scientific process?

Posted by m c | Sunday, October 31 2010 at 9:05PM ET
Add Your Comments:
You must be registered to post a comment.
Not Registered?
You must be registered to post a comment. Click here to register.
Already registered? Log in here
Please note you must now log in with your email address and password.
Login  |  My Account  |  White Papers  |  Web Seminars  |  Events |  Newsletters |  eBooks
Please note you must now log in with your email address and password.