SCTR7: Data Science and Analytics

Among my greatly respected global colleagues and friends on LinkedIn, there seem to be persistent, circular debates concerning the nature and viability of the data science profession. Opinions seem to run the gamut from ‘data science is the best thing since sliced bread and will take over the world’ to ‘data science is a weak, […]

Analytics professionals should keep a persistent eye open for opportunities to create cross-functional insights from data. Insights can frequently be leveraged across multiple business domains. However, business silos can restrict ‘forest for the trees’ visibility. To the degree analytics has cross-functional exposure in the organization, for instance via a C-level champion and an Analytics Center […]

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 […]

  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 […]

PART 6 OF 7 IN A SERIES ON ADOPTING ANALYTICS CULTURE LINK TO HEADER ARTICLE LINK TO PREVIOUS ARTICLE (5 of 7) 6.    What particular information is gained from social network analysis and how is it interpreted? To recap, we have established that adopting analytics culture requires organizational change management.  Beyond analytics technology and expertise, […]

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 […]

Business analytics model risk (part 2 of 5):  saving the kingdom, one nail at a time… Following from article 1 of 5 on Business Analytics Model Risk Link to introductory header article (0 of 5) For want of a nail the shoe was lost, for want of a shoe the horse was lost; and for want […]

PART 2 OF 7 IN A SERIES ON ADOPTING ANALYTICS CULTURE LINK TO HEADER ARTICLE LINK TO PREVIOUS ARTICLE IN SERIES (1 of 7) 2.  Is change management effective? When organizational change initiatives are undertaken, there is a common assumption that, after some struggling, the firm will improve.  With reorganizations there is often an assumption […]