The goal is to enable participants to perform the tasks required to successfully complete a Siebel Business Analytics deployment.

This course is intended for individuals on the implementation team whose major role is to define and model the data used for analytics processing. It provides step-by-step procedures for building and verifying the three layers of a Siebel Business Analytics repository: the Physical, Business Model and Mapping, and Presentation layers. Students initially use the Siebel Analytics Administration Tool to construct a simple Analytics repository to address a fictitious company's business requirements.

Students import schemas, design and build logical business models, and expose business models to users in Siebel Answers. In the process, students learn how to build physical and logical joins, simple measures, and calculation measures. They also learn how to validate their results using Siebel Answers. Students then learn how to model more complex business requirements, such as dimension hierarchies, multi-sources, partitions, time series data, and slowly changing dimensions. Students also learn how to implement Analytics Server security, and manage Analytics Server cache.

This course is appropriate for Analytics 7.7 and 7.8.