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Advanced Modeling Techniques Using SAS Activity-Based Management 6.x

Duration: 2.0 days
Course fee: $1,150
EPTO units: 2.2
CEUs: 1.2
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This course presents a typical project implementation timeline and discusses design considerations for optimization and reporting needs. It teaches you how to identify benefits of model structure variations with respect to utilization of dimensional modeling techniques.

Learn how to

Who should attend

Experienced model builders responsible for creating and maintaining SAS Activity-Based Management models

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Prerequisites
Before taking this course, you should have completed either the ABC Modeling Using SAS Activity-Based Management 6.x or the Migrating from Oros 5.x to SAS Activity-Based Management 6.x course. Completion of the ETL for SAS Activity-Based Management 6.x course is helpful but not required.
Course Contents
Project Implementation
  • project startup
  • project timeline
  • data collection
  • requirements for success
Model Structure Variations
  • parent and leaf intersection
  • how dimensionality affects structure
  • structure in the resource module
  • structure in the activity module
  • cost object intersections
Model Design for Effective Reporting
  • dimension level names
  • attributes
  • multi-stage analysis
Model Design for Planning
  • What is a planning model?
  • building a planning model
Advanced Modeling Techniques
  • cost properties
  • calculated attributes
  • calculated drivers
  • driver sequencing
Data Management
  • challenges and considerations
  • cleaning data
  • the mapping process
  • leveraging the general ledger
Sustaining and Maintaining Models
  • using EasyAPI
Optimizing and Validating Models
  • optimizing the model
  • optimizing OLAP
  • validating the model
Reporting with SAS Web Report Studio
  • setting up the metadata
  • SAS Web Report Studio
Software
This course addresses SAS Activity-Based Management.
Course Materials
Students receive a hardcopy of the course notes and, in some courses, can choose to take home a copy of the course data.
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