Contains: PDF course guide, as well as a lab environment where students can work through demonstrations and exercises at their own pace. This course is designed to teach modelers how to build a complete model in IBM Planning Analytics using the Architect tool. Through a series of lectures and hands-on exercises, students will learn how to set up and verify dimensions, cubes, and views, manually enter data into these structures, and define the data that users can see. Students will also learn how to transfer data into the IBM Planning Analytics model, including the use of TurboIntegrator scripts to perform data transfer. In addition, the course outlines how to customize drill paths, convert currencies, model for different fiscal requirements, and deploy IBM Planning Analytics applications to the web. If you are enrolling in a Self Paced Virtual Classroom or Web Based Training course, before you enroll, please review the Self-Paced Virtual Classes and Web-Based Training Classes on our Terms and Conditions page, as well as the system requirements, to ensure that your system meets the minimum requirements for this course. Terms and Conditions: Ingram Micro – https://www.ingrammicrotraining.com/Terms-of-use.aspx; IBM – http://www.ibm.com/training/terms

Version:

V2.0

Audience:

Modelers

Objectives:

Detail:

l; List uses for lookup cubes
? Create and use a spread profiles cube
? Implement moving balances in a cube
10: Convert currencies
? Describe currency challenges
? Create a currency dimension
? Create a currency cube
? Create rules for currency conversion
11: Model for different fiscal requirements
? Identify time considerations
? Use discrete time dimensions
? Implement a continuous time dimension model
12: Deploy IBM Planning Analytics applications
? Explain the application types
? Access an IBM Planning Analytics application
? Create a new application
? Set the available clients
? Apply security in the application
? Activate and deactivate an application
Appendix A: Optimize and tune models
? Identify characteristics of large models
? Describe strategies to improve model performance
Appendix B: Identify common data structures
? Identify characteristics of operational and reporting databases
? Discuss Online Analytical Processing (OLAP)
? Examine core model design principles
? Identify the basic tasks required to create an IBM Planning Analytics model and deploy it

Pre-Requisites:

Understanding of the metrics and drivers of your business
? Significant experience with Microsoft Excel spreadsheets (functions, macros, etc.)
? Basic knowledge of OLAP and IBM Planning Analytics
To gain this knowledge, visit the following websites:
? IBM Planning Analytics Learning Center at https://developer.ibm.com/clouddataservices/docs/ibm-planning-analytics/how-to
? IBM Planning Analytics YouTube Channel at https://www.youtube.com/channel/UCGYcFhVXoA29v8kSbspLudA/featured
? IBM Planning Analytics Community at https://www.ibm.com/communities/analytics/planning-analytics/