One of those innovations is the use of in-database processing to enable scalable analytics, as discussed in Chapter 4.

modern processes including enterprise analytic datasets, then building models does not need to be as time-intensive as it used to be.

Getting a read on the trends of what people are saying across social media outlets or within customer service interactions can be immensely valuable in planning what to do next.

Instead, examine what they are browsing and make them an offer to buy a complete bundle in the first place.

there is only a partial view, the full view can often be extrapolated accurately enough to get the job done.

If an inventory of models and scores created is kept through a model management process, it is possible to keep track of what has been created more easily.

large banquet facility wants to know how efficiently servers are moving around and covering patrons in all areas of the facility.

Imagine you are a retailer. Imagine walking through the aisles with customers and recording every place they go, every item they look at, every item they pick up, every item they put in the cart and then take back out. Imagine knowing whether they read nutritional information, if they

be elastic to scale on demand, and it has to be on a pay-per-use basis.