What is the Problem? My customer frequently asks if this model or that model can be used to direct call center traffic. Usually the models are projecting an acquisition or engagement window […]
How is Your Call Center?
All Things Data
Data Scientist, Analytic Scientist, Statistician, Operation Research Analyst, Predictive Modeler, … They are all very different… or are they? We often focus on differences to delineate our profession and what we can […]
Getting the Question Right
As an analyst and modeler I have a variety of customers with a variety of problems in business. We usually frame their “question” as a business case. The question of course is […]
Cyber-Threat Risk Assessment using R
An event tree is an analytical diagram in the form of a directed path tree. Each node of the tree represents some event, which branches events from one single event using Boolean […]
Modeling Terrorism
The attack of September 11, 2001, showed that terrorism is capable of inflicting damages ($40 billion+) and loss of life (3,000+) that are multiples of the worst U.S. natural disasters (Hurricane Andrew […]
Online Education in Analytics and Data Science
Several people have asked me for advice about education and training in Analytics and Data Science, so I wrote this article. For our purpose here, I include Analytics, Data Mining, and Data […]
What is Predictive Analytics Missing?
#Simulation! Oh sure, there are pockets of analysts using simulation in #predictive #analytics and pockets of companies that use the results, but the use of simulation to predict behavior (e.g., propensity to […]
Graphics R Tricky
R is good for a lot of stuff. I have used it for cluster analysis, uplift modeling, logistic regression, and so on. I have also used SAS for the same things. For […]
Distribution Fitting: R & SCILAB Compared
In this article I compare Scilab with R for generating a histogram from data and fitting a curve to data using the least squares procedure. Using Scilab Consider an experiment where we’ve […]
If you built it, they will buy…
Most everyone knows that using a propensity model to predict customers’ likelihood of buying, engaging, leaving and so on, produces a larger target audience. That is too bad, for what everyone knows […]
