Original Content

Big Data Continued…

By: Gerhard Pilcher, Vice President and Senior Scientist, Elder Research, Inc.

Big Data is not a singular concept but rather a label for a range of data issues. A few months ago I wrote an article about the Volume, Velocity, and Variety (and other “V’s”) of big data hoping to encourage a common language around more specific data concepts. Mark Masden, Principal author of Clickstream Data, is...

How to Calculate the Optimal Safety Stock using Retail Predictive Analytics.

By: Yan Krupnik, Business Development Manager, Retalon

In a perfect world, a retailer knows exactly how much demand they can expect, they order just enough inventory from their vendors and suppliers to completely sell it throughout their stores by the end of the given...

The Role of Analysts After Model Deployment

By: Dean Abbott, President, Abbott Analytics, Inc.

Last month I made the case for discussing model deployment. One of the mistakes I see organizations make related to deployment is this: after the model is deployed, there is little or no thought about that model...

How predictive analytics will power the internet of things

By: Bala Deshpande

Recently, Nissan Motor announced that they will release a self driving car by 2020. According to Karl Brauer of Kelley Blue Book, “The technology to create self-driving cars is already here, as sci-fi as it...

Prediction Isn’t Just About Stocks. Predictive Persuasion

By: David Leinweber
Originally published at forbes

Prediction isn’t just for the stock market. Trading is just one of many ways to cash in on quantitative foresight. For mass marketing – and even presidential campaigns – it’s another story. In those areas, putting odds...

The Greatest Power of Big Data: Predictive Analytics

By: Eric Siegel, Founder, Predictive Analytics World

Every day’s a struggle. I’ve faced some tough challenges such as which surgery to get, how to invest for my business and even how to deal with identify theft. With so much stuff coming at me from...

It is a Mistake to… Focus on Training Results

By: Dr. John Elder, CEO and Founder, Elder Research, Inc.

(Part 2 of 11 of the Top 10 Data Mining Mistakes, drawn largely from Chapter 20 of the Handbook of Statistical Analysis and Data Mining Applications)...

7 Ways Predictive Analytics Helps Retailers Manage Suppliers

By: Yan Krupnik, Marketing Manager, Retalon

One of the most challenging aspects of the retail process is the collaboration between retailers and their suppliers or vendors. No matter how prepared a retailer can be they are still dependant on the vendor to provide...

Why Don’t We Talk about Deployment?

By: Dean Abbott, President, Abbott Analytics

The Cross Industry Standard Process for Data Mining (CRISP-DM) is the leading published methodology for Data Mining (DM), and by extension, Predictive Analytics (PA). I use it routinely as I lead PA projects and when I...

Understanding Predictive Analytics: A Spotlight Q&A with Eric Siegel, author of Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die

By: Ron Powell
Originally published at b-eye-network

This BeyeNETWORK spotlight features Ron Powell's interview with Eric Siegel, founder of Predictive Analytics World and author of Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die...