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 […]
June 19, 2013
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 […]
March 14, 2013
Business analytics model risk (part 1 of 5): when is a business analytics model ‘validated’? Link to introductory / header article (0 of 5) See also – recent post: 12 trends in data analytics In Jorge Luis Borges’ parable “On Rigor in Science” (“Del rigor en la ciencia”), a lost empire attains such perfection in […]
January 4, 2013
Managing analytics, organizationally, has the aspect of a hydra, the ancient Greek mythological dragon which Hercules slew. For each head Hercules dispatched, two more burst forth; only by cauterizing the severed heads and focusing on the body, was Hercules able to best the beast. Whether or not the ancient Greeks were dispensing on the problem of […]
SCTR7: Data Science and Analytics 
December 17, 2014
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