article thumbnail

5 rules that transform outsourcing outcomes

CIO Business Intelligence

It is the product of nearly 20 years of research at the University of Tennessee, beginning with a deep-dive funded by the United States Air Force on outcome-based outsourcing in 2003. So when you break a process down into small parts, it is easy to fall into measurement minutiae.

article thumbnail

What Will Drive Innovation in this Great Reset

Andrew White

Emergency measures are undertaken with little planning. Cost optimization and short-term value generating activity will be explored. This period is characterized by immediate reactions to crisis. As healthcare systems are overwhelmed, economic systems are shut down or dislocated or dismembered. Things stop working.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Multiplicity: Succeed Awesomely At Web Analytics 2.0!

Occam's Razor

My first eMetrics summit was June 2003 and as a young inexperienced person new in the field it was a great learning experience (eMetrics in Santa Barbara were the best!). The fact that to make optimal decisions on the web I was going to have to be comfortable with multiple sources of data, all valuable and all necessary to win.

article thumbnail

Humans-in-the-loop forecasting: integrating data science and business planning

The Unofficial Google Data Science Blog

by THOMAS OLAVSON Thomas leads a team at Google called "Operations Data Science" that helps Google scale its infrastructure capacity optimally. In fact, there is a body of literature on optimal contracting structures between buyers and suppliers [5]. Supply Chain Management: Design, Coordination and Operation, 2003.

article thumbnail

Using Empirical Bayes to approximate posteriors for large "black box" estimators

The Unofficial Google Data Science Blog

Posteriors are useful to understand the system, measure accuracy, and make better decisions. Methods like the Poisson bootstrap can help us measure the variability of $t$, but don’t give us posteriors either, particularly since good high-dimensional estimators aren’t unbiased.

KDD 40