Track 2: Social Data and Telecom
Case Study: Major North American Telecom
Social Networking Data for Churn Analysis
A North American Telecom found that it had a window into social contacts – who has been calling whom on its network. This data proved to be predictive of churn. Using SQL, and GAM in R, we explored how to use this data to improve the identification of likely churners. We will present many dimensions of the lessons learned on this engagement.
Speaker: David Katz, Senior Analyst, Dataspora, and President, David Katz Consulting
Here is a brief dataset I out after one hour of cutting and pasting from WordPress.com’s creative data style formats. It shows spam,comments,traffic, and number of posts written monthly.
Clearly monthly traffic is directly related to number I write (suppose A + B* Posts)
But Spam is showing a discontinuous growth especially after a big month (in which Reddit helped)
Akismet had some missing historical values (which is curious)
At the user’s choice, statistical output and graphics are done in ASCII, PDF, PostScript or HTML formats. A limited range of statistical graphs can be produced, such as histograms, pie-charts and np-charts.
At the user’s choice, statistical output and graphics are done in ASCII, PDF, PostScript or HTML formats. A limited range of statistical graphs can be produced, such as histograms, pie-charts and np-charts.