Having been a part of large organizations, I have seen first hand the effect of both good and bad structures in Information Technology and Analytics. In analytics organizations, there are many different skill sets and the number of people calling themselves data analysts and data scientists it becomes increasingly difficult to determine how the analytics organization should be constructed. Continue reading The Analytics Organization – Part 1
Monthly Archives: July 2015
Analyzing The NPS Score
Many companies are now utilizing the NPS, Net Promoter Score, developed by Satmetrix to determine a company’s growth. The score is based on a single question which asks the likelihood of the respondent to recommend a product or service using an 11-point scale, 0-10. Continue reading Analyzing The NPS Score
Misusing Prediction Models
Basic predictions are one of the most fundamental aspects of data science. It provides insight that enables functional units such as marketing, logistics and finance to take action on the data. One of the most basic tools in the prediction area are regression models. Regression models take a number of “predictor” variables, i.e. variables that will be used to predict some outcome, and one or more “response”, i.e. outcome, variables. While the technique is very powerful, using it improperly can lead to disastrous effects. Continue reading Misusing Prediction Models