SCTR7: Data Science and Analytics

The fight against fraud and AML often hits a ‘brick wall’ when encountering labyrinthian international, corporate structures. Even well-known brands such as Google and Starbucks, use controversial, though currently accepted, international structures to optimize capital flows and to reduce tax liabilities, for instance the so-called Double Irish or Dutch Sandwich. Due to this complexity, increasingly […]

As many traditional industrial age business functions become subject to disintermediation by automation and expert analytics systems, new industries and value propositions will need to be framed by an emerging generation of leaders.

Network analysis is a rapidly growing analytics domain propelled by the explosion of interest in social networking. The methods rest upon much older foundations in the realms of statistics and social science. Euler’s graph theory was proposed in the early 18th century and Moreno established the foundations for social network analysis (SNA) in the 1930’s. Want […]

As an analytics professional, it may perhaps be no surprise that I believe in a world which is susceptible to analysis – a world which yields to scientific inquiry. Further, I believe that if we invest effort, if we exert what Kahneman would call our System 2, we can improve decisions and overcome our tendency […]

Increasingly sophisticated analytics tools and methods are available to derive business insight from data.  However, as a discipline which drives insight from data, the crucial ‘last step’ in the analytics process is about organizational decision making.  A sophisticated, intensive analysis may all be for naught if the crucial last step, framing and committing to a decision, misses the […]

Recently I was chastised for being ‘unnecessarily obscure’ for reacting to a specious conclusion by suggesting that it risked ‘conflating correlation with causation’. Guilty as charged!  I apologize:  the expression is quite a mouthful and requires unraveling for those unfamiliar with the nuances of the applied experimental method.  However, I feel passionately that this concept […]

  This is a review committee working group for practitioners and academics to establish a formal definition and set of classification criteria regarding business analytics model risk. This group has been established based upon interest and feedback concerning a recent set of posts regarding business analytics model risk: http://tinyurl.com/ktabt3q For those interested, you can join the […]

Business analytics model risk (part 0 of 5): framing model risk – the complexity genie and the challenge of deciding on decision models Introduction to a series of five articles on model risk Here we introduce a series of five articles seeking to frame, define, and categorize business analytics model risk.  The intention is to […]

PART 5 OF 7 IN A SERIES ON ADOPTING ANALYTICS CULTURE LINK TO HEADER ARTICLE LINK TO PREVIOUS ARTICLE (4 of 7) 5.    How can change management be improved via analytics? We have built-up the case for using organizational change management to adopt analytics culture.  By analytics culture, we mean the set of both formal […]

PART 4 OF 7 IN A SERIES ON ADOPTING ANALYTICS CULTURE LINK TO HEADER ARTICLE LINK TO PREVIOUS IN SERIES (3 of 7) 4.  Why is the change management track record so poor? Why are the results of change management initiatives so unpredictable and the outcomes so uncertain?  Earlier in this series, it was proposed […]