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

The point is that there is a wealth of information compiled within an EADS. It will help eliminate redundant efforts, greatly increase transparency, and improve consistency.

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.

Perhaps a little-used web site feature the organization was considering removing is a big favorite among a critical segment of customers. In that case, the feature might be kept.

Users of analytic point solutions are typically going to be power users, relative to average businesspeople.

The value is in doing things in a different way more than doing something fancy.

An airline can identify customers who value convenience.

ad hoc SQL—not basic everyday SQL queries, but highly complex SQL queries that involve combining data sources in complex ways.

A smart grid has highly sophisticated monitoring, communications, and generation systems that enable more consistent service and better recovery from outages or other problems.

If analytic professionals are experimenting with some new data to figure out what it offers, a cloud is a terrific environment to consider. A lot of times in exploratory analytical development work, performance isn’t an issue.