Pain Point #1: “It takes too long to get my data or to get the ‘right’ data”

This is the first in a series on Addressing Analytic Pain Points: “It takes too long to get my data or to get the ‘right’ data.”

Analytics users can be characterized along multiple dimensions. One such dimension is how they get access to or receive data. For example, some receive data via flat files. Since we’re talking about “enterprise” users, this often means data stored in RDBMSs where users request data extracts from (more...)

Addressing Analytic Pain Points

If you’re an enterprise data scientist, data analyst, or statistician, and perform analytics using R or another third party analytics engine, you’ve likely encountered one or more of these pain points:

Pain Point #1: “It takes too long to get my data or to get the ‘right’ data”
Pain Point #2: “I can’t analyze or mine all of my data – it has to be sampled”
Pain Point #3: “Putting R (or other) models and (more...)