Suppose a client wants to estimate the total sales value of widgets in a large number of stores. To do this, they will survey a sample of that population of stores. You need to provide the client with advice on choosing a suitable sample size. Unfortunately, the client has little
We provide here an R function that draws a grid of plots, revealing relationships between the variables in a dataset and a given target variable. Scatterplots in the grid include regression lines, loess curves and the adjusted R-squared statistic. Boxplots have points indicating the group means. Box widths are proportional
Our most recent vendor project was an interesting change in direction compared to several vendor related projects we have previously worked on. We were asked to build out a vendor reporting capability that went beyond simple spend analytics and also brought in data from online sources such as Twitter, Google,
The short answer: NEVER and ALWAYS! The longer answer: A price increase is always difficult to achieve successfully and yet doing nothing is a gradual recipe for financial disaster. Why? Your costs are never static, so within 5 years your profit margin could easily be ZERO. Of course good cost
Over the last 3-5 years big data technologies have become an increasingly important factor in analytics. A few years ago our company knew that as an advanced analytics provider it was integral for our skills to include working with big data. In order to achieve our best analysis we had