In anticipation of their upcoming conference co-presentation, The Quest for Labeled Data: Integrating Human Steps, at Predictive Analytics World San Francisco, May 14-18, 2017, we asked Ashish Bansal, Senior Director, Data Science and John Schlerf, Data Scientist at Capital One, a few questions about their work in predictive analytics. Q: In your work with predictive analytics,
In anticipation of her upcoming conference presentation, 7 Examples of Customer Retention with Predictive Email Marketing at Predictive Analytics World San Francisco, May 14-18, 2017, we asked Kristina Pototska, CMO at TriggMine, a few questions about her...
In anticipation of his upcoming conference presentation, Defining Optimal Segmentation Territories – 10 Years of Research at Predictive Analytics World San Francisco, May 14-18, 2017, we asked Frédérick Guillot, Senior Manager, Research and Innovation at The Co-operators...
By: Richard Boire, Senior Vice President, Environics Analytics
We have all heard and seen the diagrams that relate to the evolution of analytics within the marketplace. Listed below is one such diagram which is probably familiar to most of you The above diagram represents this...
Eliot Knepper, Marketing Director Europe, Rising Media Ltd
Exclusive interview with Prof. Wil van der Aalst who will hold the keynote at Germany’s first PAW manufacturing event, taking place February 2nd in Düsseldorf. The full program of the show can be viewed here. Prof. Wil...
By: LeAnna Kent, Data Scientist, Elder Research
There is no doubt that a successful Data Scientist must be proficient in programming, modeling, and data munging (extracting, cleaning, and feature engineering data). However, there is another key skill that is often overlooked: the ability to...
By: Madhu Raman, Ideation Head, Verizon
The perceived status of the consumer experience enhancement industry from an innovation practitioner’s vantage point is that it...
By: Richard Boire, Senior Vice President, Environics Analytics
In some of the more recent literature, discussion has ensued about the use of pure random or noise variables that end up as key variables in predictive models. In our big data environment with millions of records...
By: Andy Janaitis, Software Engineer and Scrum Master, Elder Research
After working with a client’s data for over three weeks with no real progress, you finally hit upon a real breakthrough. You’ve been searching for insights that will help identify which customers are most likely to turn...
By: Piyanka Jain, Author, Behind Every Good Decision
President and CEO, Aryng
In our data-rich society, corporations of all types and sizes recognize the importance of utilizing information to understand their past and shape their future. Many organizations, however, ultimately fail to reap the powerful benefits of analytics as...
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