Taming The Big Data Tidal Wave: Finding Opportunities in Huge Data Streams with Advanced Analytics (Wiley and SAS Business Series)

A retail bank, for example, is getting a handle on its multichannel customer interactions for the first time by analyzing log files (it’s easier than delving into core transaction

The decision to purchase a high-end tool changed their trajectory; they could do deep analysis, do it fast, and take advantage of customer behavior to make rapid changes to their software-as-a-service (SAAS) application. They are very rich now.

Online sales applications at sites such as Amazon.com use BI in the form of collaborative filtering of customers’ transaction patterns to identify additional books or compact discs a customer may wish to purchase and offer those items to the customer. This entails using workflow within a purchasing process that accesses BI before making a decision

We’re going to be able to run a lot more models and better understand the drivers of our performance in key areas. We’re going to iterate and tune the model much more frequently to get a better solution. We’re going to use many more variables and more data to compute a real-time offer for our customers. We’re going to be able to respond much more r