Summary:  The annual Burtch Works salary survey tells us a lot about which industries are using the most data scientists and the difference between higher and lower skilled data scientists.  Salary increases show us whether demand is increasing, and finally we take a shot at determining which skills are most in demand.

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Summary:  Which is more important, the data or the algorithms?  This chicken and egg question led me to realize that it’s the data, and specifically the way we store and process the data that has dominated data science over the last 10 years.  And it all leads back to Hadoop.

Recently I was challenged to speak on the role of data in data…

Summary:  Over the last eight years predictive analytics has become a fully mature technology with wide adoption among the largest and most successful companies.  The Advanced Analytic Platforms we have to make our work more effective and efficient also show substantial improvement.

Predictive analytics combines the core disciplines of…

CIO recently published an article that highlighted a survey that was revealing. The survey, conducted in April and May, included 150 executives, from large companies of over 5,000 employees, with responsibility for making business decisions influenced by big data. The survey reports that 98 percent said their company encourages its employees to ground business…

Predictive analytics continues to be a top priority for all types of organizations. And IBM SPSS Modeler continues to be the predictive analytics workbench leading businesses rely on to make predictions with confidence.

IBM is partnering with survey research firm TechValidate to gain a better understanding of how organizations are using SPSS Modeler to help them make…

A simple metaphor for projects in predictive analytics

The analytical scene has recently been dominated by the prediction that we would soon experience an important shortage of analytical talent. As a response, academic programs and massive open online courses (MOOCs) have sprung up like mushrooms after the rain, all with the purpose of developing skills for the analyst or its more modern counterpart, the data scientist. However, in the …

Here's a different angle on a much analyzed question at the heart of our professional activities.  In this article, Steve Miller of Inquidia tackles how NoSQL has changed our traditional understanding of Predictive Analytics and Data Science.  You might also look back at our previous post How NoSQL Fundamentally Changed Machine Learning.

Here's the beginning…

Summary:  Is the addition of “Prescriptive” analytics to our nomenclature really worthwhile or are we just confusing our customers?

I admit to being annoyed when this or that industry wag tries to coin a new term to describe some portion of the discipline we are already practicing.  Some of these folks I think are…