Analytics are evolving to a new world from a focus on transactions to a focus on interactions. The analysis of detailed transactional data provide insight into the value created from customer relationships whereas the analysis of interaction provides insight into the experience provided to a customer.

Analytic models for predicting defection, buying patterns, etc. can be significantly enhanced when interaction data is used to augment traditional transaction data. And yet, managing the immense value of interaction data comes with a unique set of challenges for cost effective data warehouse deployment. Moreover, the sources for interaction data are different than transactional data, and the methods by which interaction data is stored for optimal usage is quite often different than what has been done with traditional data warehouse deployments. This session explores the best practices for getting full value out of new analytic capabilities targeted at big data.

Note: This was a 2011 Partners Conference session.

Stephen Brobst, CTO - Teradata Corporation
Tasso Argyros, CTO - Aster Data

This course is offered by the Teradata Education Network. To enroll online, click the Training URL link below to go to the TEN site and Log in. If you're not a member click browse, select your region, and search on the Course Number. Or to enroll by phone, call the Enrollment Center at 1-937-242-4460. Note: You must be a member to register for a course.

Audience: Data Warehouse Administrator, Data Warehouse Architect/Designer

Course number:49909
Training URL:
Format:Recorded webcast
Credit hours:1.00