Taming the Big Data Tidal Wave by Bill Franks

Taming the Big Data Tidal Wave by Bill Franks

Author:Bill Franks [Franks, Bill]
Language: eng
Format: epub, pdf
Publisher: John Wiley & Sons, Ltd.
Published: 2012-03-08T13:00:00+00:00


Embedded Scoring Integration

Once scoring routines are deployed, the scores generated can be utilized very easily by users and applications. CRM applications, for example, can point to segmentation and propensity scores. All that a user of the CRM application has to do is click in the CRM tool to access the scores. Operational applications can also leverage scores. For example, perhaps a model is predicting probable out of stocks based on sales rates. When a high-risk situation is found, it is necessary to send an alert to a local manager. Or perhaps an airline has models looking at the probability of delays based on the weather. Those scores are updated by flight and are passed to the application used to track and manage those delays. Any user can also directly access the scores via an ad hoc query.

ANALYTIC RESULTS MUST BE USED TO DRIVE VALUE

In order to benefit from the analytic processes it builds, an organization must use the results. Without making the use of the analytics easy, the organization won’t leverage them to the full extent possible. Embedded scoring processes are critical to enabling ease of use, which leads to scores being utilized by a wide range of users and applications.



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