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NovaNext Training / IBM / IBM Data and AI / IBM Planning Analytics: Design Design and Develop Models in Planning Analytics Workspace

IBM Planning Analytics: Design Design and Develop Models in Planning Analytics Workspace

Codice
P8462G
Durata
5 Giorni
Prezzo
3.050,00 € (iva escl.)
Lingua
Italiano
Modalità
Virtual Classroom
Corso in aula
       

 

Schedulazione
Luogo Data Iscrizione
Virtual Classroom 29/07/2024
Virtual Classroom 25/11/2024
Virtual Classroom 02/12/2024

This course explores the IBM Planning Analytics Workspace, how to create dimensions, cubes, and business rules.

Learners will also delve into loading and maintaining data, optimizing their business rules, and learn how to transfer data into a model.

This course also explains how to customize drill paths, using rules for advanced modeling, and converting currencies.

Finally, learners will learn how to create models for different fiscal requirements.

 

Prerequisiti
  • Knowledge of your business requirements
  • Recommended: IBM Planning Analytics: Analyze Data and Create Reports (v2.x) [P8457G]

 

Obiettivi

By the end of this course, learners should be able to:

  • Identify the TM1 position in a performance management system
  • Describe TM1 components and architecture
  • Manually create dimensions, import, and edit them
  • Construct and edit a cube
  • Identify data sources
  • Create processes to update and maintain a model
  • Review, disable, and enable auto-generated rules
  • Optimize rules using a SKIPCHECK statement
  • Troubleshoot rules and feeders
  • Link cubes with different dimensions
  • Use Planning Analytics as a data source
  • Push data to a cube
  • Create a drill process and drill assignment rules
  • Utilize a lookup cube and attributes in rules
  • Create rules for currency conversion
  • Use Planning Analytics to reduce maintenance
  • Use discreet time dimensions
  • Implement a continuous time dimension model

 

Destinatari

This course is intended for beginners and professionals interested in intuitive solution designs for analytics, planning, and profitability.