In anticipation of his upcoming Predictive Analytics World for Workforce conference presentation, Using Predictive Analytics to Predict and Manage “Road Warrior” Burnout (Frequent Travelers), we interviewed Scott Gillespie, Managing Partner of tClara. View the Q-and-A below to see how Scott has incorporated predictive analytics into the workforce of tClara. Also, glimpse what’s in store for
Anyone in the business of analytics knows that the work is often highly iterative, exploratory and ill-defined. In my experience, as hard as it is to fit models that let us understand complex relationships and make predictions,...
Numerous articles have been written about the use of decision trees to create predictive models. The literature has been rich in detail about the varying techniques and methodologies used to create decision trees. Different approaches in terms...
Multi Channel retailing has existed for a very long time, it’s certainly not a new phenomena, however, the transition to Omni Channel retailing is becoming increasingly popular among leading retailers. In this article, we’re going to look...
Last week on “To the Point,” an NPR-syndicated radio show, Predictive Analytics World founder Eric Siegel discussed predictive analytics in relation to civil liberties. While being interviewed along with a WSJ journalist, a New York Times/New Yorker...
In anticipation of his upcoming conference keynote and workshops at Predictive Analytics World San Francisco, March 29-April 2, 2015, we asked Dean Abbott, Co-Founder and Chief Data Scientist of Smarter Remarketer, a few questions about his work...
In anticipation of Predictive Analytics World for Workforce, March 31-April 1, 2015, Conference Chair Greta Roberts interviewed keynote speaker Elpida Ormanidou, Vice President, Global People Analytics at Walmart. View the Q-and-A below to see how Ms. Ormanidou...
With Analytics being a buzzword, most business executives have in some form thought or talked about role of Analytics in their businesses. 4i had recently conducted annual benchmarking survey, talking to Consumer Insights and Analytics executives at...
Anomalies vs Outliers Anomaly detection, or finding needles in a haystack, is an important tool in data exploration and unsupervised analytic modeling. Anomaly detection also creates a path to supervised modeling by singling out key examples that...
Much of the discussion in the predictive analytics discipline tends to deal with techniques and approaches that will help resolve a given business challenge or problem. In any approach or technique, though, integration of both technical(i.e. mathematics...
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