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IBM Planning Analytics: Design and Develop Models in Architect (v2.0)

Overview

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.

Audience

Modelers

Prerequisites

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/

Key topics

1: Overview of IBM Planning Analytics
• Review financial performance management
• Identify the IBM Planning Analytics position in a performance management system
• Describe the IBM Planning Analytics components and architecture
• Describe TM1 server fundamentals
• Describe fundamental modeling concepts
2: Create dimensions
• Describe cubes and dimensions
• Create dimensions manually
• Edit dimensions
• Create dimensions using TurboIntegrator
3: Build cubes and views
• Describe cubes and data points
• Create cubes
• Construct views of data in cubes
• Create and use a pick list
4: Load and maintain data
• Identify data sources
• Create processes to load data
• Create processes to delete data in a cube
• Create processes to update and maintain the model
5: Add business rules
• Describe a rule
• Construct rules for elements or consolidations
• Use functions in rules
• Optimize rule performance
• Describe rules in a rule worksheet
6: Optimize rule performance
• Describe consolidations and sparsity
• Enhance consolidation performance using SKIPCHECK
• Use FEEDERS to optimize aggregations
• Check the accuracy of rules and feeders
7: Transfer data into the model
• Describe the Advanced tabs in TurboIntegrator
• Load custom data into a cube
• Add a subset to a dimension
• Use logic in scripts
• Export data to ASCII
• Move data between versions
• Construct chores
8: Customize drill paths
• View related data
• Create a drill process
• Create a drill assignment rule
• Edit a drill process
9: Using rules for advanced modeling
• Describe virtual cubes
• 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

Objectives

Please refer to course overview.

Related Articles:

IBM Training Blog:

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Name / Last Name: null
Course code: P8361G
Course title: IBM Planning Analytics: Design and Develop Models in Architect (v2.0)

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https://www.ibm.com/privacy/details/us/en/


****FOR EU citizens****


Right to access to the stored data
If you want to request access to your data and make sure that they are accurate and lawfully entered, please send an e-mail to clmshelp@us.ibm.com with the subject line Request Access to the stored data


Right to Data portability
You have the right to receive the personal data concerning you, which you have provided, in a structured, commonly used and machine-readable format and you have the right to transmit those data to another service provider without hindrance.


Data Erasure (Right to be forgotten)
If you want to request erasure of personal data concerning you (i.e. there is no need for processing your personal data), please send an e-mail to clmshelp@us.ibm.com with the subject line Request Data Erasure


Data Rectification
If you want to request rectification in case there are inaccurate personal data (i.e. incomplete personal data). please send an e-mail to clmshelp@us.ibm.com with the subject line Request Data Rectification


Objection to the processing
On grounds relating to your particular situation, at any time the processing of personal data concerning you, including profiling you can object at any time by sending a mail to clmshelp@us.ibm.com with the subject line Request Objection to the processing


Right to lodge a complaint with a supervisory authority
You have the right to lodge a complaint with a supervisory authority, in particular in the EU Member State of your habitual residence, place of work or place of the alleged infringement if you considers that the processing of personal data relating to you infringes the EU GDPR Regulation.

 

Withdrawal of Consent


If you choose to withdraw your consent for this site we will remove all your information. Removal of your information includes removal of access to the site, your training records, scores, and transcripts will be deleted.


Once records are deleted it will not be possible to restore them or provide any training history.


Please click I AGREE to confirm your agreement of the processing purposes noted above, including the sharing of your name, email address, and badge information with Person VUE Acclaim for the purpose of badge administration.