Browsing history, for example, is very powerful. Knowing how valuable a customer is and what they have bought in the past across all channels makes web data even more powerful by putting it in a larger context.

One common example is a CRM tool leveraging a customer EADS to facilitate segmentation efforts.

Sentences that surround a given statement might help identify what the speaker intended, but it gets much more complex to start going to that level of analysis.

Advanced analytics encompasses a range of activities including complex ad hoc SQL, predictive modeling, data mining, forecasting, optimization, and other similar activities.

A decrease in total mailings A reduction in total catalog promotions pages A materially significant increase in total revenues

is smart to give such customers special incentives to keep the good words coming.

It is possible to develop relationships between various pieces of

IT is going to have to maintain the enterprise analytic data set structures and processes within the environment where it will be deployed.

Massively parallel processing (MPP) database systems have been around for decades. While individual vendor architectures may vary, MPP is the most mature, proven, and widely deployed mechanism for storing and analyzing large amounts of data. So what is an MPP database, and why is it special?