Please watch my video on Aster's principal component analysis or PCA. I not only show how Aster performs this analytic but I attempt to explain how PCA works and explain eigenvectors and eigenvalues. Genre: Statistical Analysis (Unsupervised Learning) Background: A process used to emphasize variability and bring out strong patterns in a dataset. This variability is expressed by principal components; which are directions of highest degree of variance. The first several principal components…Continue
Added by John Thuma on June 29, 2015 at 2:31am — No Comments
How AsterR is used in the Data Discovery Process?
AsterR is a Teradata produced package installed within the R client application. This package is distinct from, but complements, the installation of R within Aster. Together the AsterR package and the R installation into Aster create a rich environment that provides the R user with the normal look and feel of R while maintaining the power and speed of Aster. There is a great deal of…Continue
Added by John Thuma on June 22, 2015 at 6:00am — No Comments
I was deep into a presentation at a major retailer. In the darkened room, a lone hand shot up. “John, we spend 80% of our time on data load and prep. Only 20% is used to produce analytics. We don’t like that ratio.”
The speaker was right. About 80% of the analytics process is spent on data preparation and loading. Numerous examples come to mind. I remember a project for an auto insurance company using telematics and driver behavior. The one-off code to prepare the data took three days…Continue
Your website’s search capabilities may be a potential customer’s first (or only) interaction with your website. Customers who can’t find relevant products based how they search are likely to abandon and go to competitor websites. For many retailers, 30% - 40% of search queries are under-performing. Underperforming search queries are costing you sales and customers.
Some examples of under performing search queries are: