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

The power of ensemble models stems from the fact that different techniques have different strengths and weaknesses.

Imagine you are a bank. Imagine being able to identify every credit card option customers considered. Imagine being able to understand if it was a reward program, interest rates, or annual fees that drove their choice. Imagine knowing what they say about each product

Embedded scoring involves enabling scoring routines to run in the database so that users can leverage the models built in an effective, scalable fashion.

Much of the value in customer analysis is in the aggregate patterns that can be identified. You only need to identify an individual by name or address if you want to do direct marketing.

The goal of text analysis is improvement of the decisions being made, not perfection.

One of the biggest uses for RFID today is item and pallet tracking in the manufacturing and retail spaces.

at nine more sources of big data and some ways to use them.

One good example of this is the way that web activity tracking is done today. Most web sites use what is known as a tag-based methodology. With a tag-based methodology, it is necessary to identify up front what text, images, or links it is desired to track users’ interactions with.

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