By: Dean Abbott, Co-Founder & Chief Data Scientist, SmarterHQ
President, Abbott Analytics
When we build predictive models, we often want to understand why the model behaves the way it does, or in other words, which variables are the most influential in the predictions. But how can we tell which are most influential? And more importantly for many applications, which variables are most influential and how influential at
By: Neil Mendelson, VP, Big Data and Advanced Analytics, Oracle
Jeff Pollock, VP, Big Data Integration and Governance, Oracle
Companies big and small are finding new ways to capture and use more data. The push to make big data more mainstream will get stronger in 2016. Here are Oracle’s top 10 predictions: 1. Data civilians operate more...
By: Philip O'Brien, MIS and Portfolio Manager, Paychex
So you have gathered your data and completed your exploration and cleansing. You labored countless hours transforming the data and created a strong model that can revolutionize the way your company sees its clients, makes decisions and...
In anticipation of her upcoming Predictive Analytics World for Workforce conference presentation, Beyond Traditional Turnover Creating Value by Quantifying the Impact of Attrition, we interviewed Kathy Doan, Vice President, Community Banking HR Insights & Analysis Group at Wells Fargo Bank. View the...
In anticipation of his upcoming Predictive Analytics World for Workforce conference presentation, Visualizing Organizational Movement for Opportunity Identification, we interviewed Jonathon Frampton, Director, People Analytics & Reporting at Baylor Scott & White Health. View the Q-and-A below to see how...
By: Richard Boire, Founding Partner, Boire Filler Group
Mobile technology as part of the Big Data discussion is enabling data miners/data scientists to conduct analytics on information on the customer’s experience within a given location which otherwise was unavailable up until a few years ago....
By: Jim Sterne, Founder eMetrics Summit; Chair Media Analytics Summit; Board Chair Digital Analytics Association; Author Social Media Metrics and the Devil's Data Dictionary
Buy it on Amazon When Stéphane Hamel coined the description of Big Data as ‘That which doesn’t fit in an Excel spreadsheet’, I realized it was well past time for the datarati to have some fun poked...
In anticipation of his upcoming Predictive Analytics World for Workforce conference presentation, Using Wearables and Big Data to Reinvent Management, we interviewed Ben Waber, CEO at Humanyze. View the Q-and-A below to see how Ben has incorporated predictive analytics into...
By: Kenny Darrell, Lead Data Scientist, Elder Research, Inc.
Lauren Harlow Helm, IT Account Executive, Eliassen Group
Will there be enough data scientists in the future? The question sounds like a subplot for a science fiction film, but it has received much attention over the past few years due to the forecast of a...
In anticipation of the forthcoming Revised and Updated, paperback edition of Eric Siegel’s Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die (coming January 6, 2016—preorder today), read here its Foreword by Thomas...
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