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Prescriptive Analytics Using Simulation Models
Prescriptive Analytics - online training course
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4-hour 10-min Online Course by Mark Peco
Single-user access license
Our Price: $415.00

Product Code: BA-02-A

Course Exam [Add $100.00]

Description Course Outline Exam Details

Prescriptive analytics enables managers to explore different scenarios and evaluate new business opportunities by playing the “what-if” game. It enables the evaluation and comparison of different options as part of the decision making process. This leads to a deeper understanding about how to define and achieve business and operating goals.

Implementing prescriptive analytics using simulation methods within a Business Intelligence (BI) program provides additional capabilities to existing BI programs. Answers to advanced business questions starting with "why" and "what if" can now be answered. Maintaining the models in a calibrated and reliable manner over time requires rigorous data management practices based on principles of integration and quality.

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Prescriptive analytics using simulation extends and enhances the capabilities of BI programs and BI programs enable the utility and maintainability of the necessary data and models.

This 4-hour online training course provides an introduction to prescriptive analytics using simulation models applied to areas that are relevant to business analysts, operations planners, decision makers, functional managers and BI team members. The basic concepts are introduced and a framework is provided that positions simulation analytics within a broader BI Program. Categories of models are described that provides an overview of the breadth of potential opportunities for prescriptive analytics within diverse organizations.

You will learn:
  • Basic capabilities of simulation
  • Categories of models and modeling techniques
  • Domains of applicability
  • How to build and implement simulation models
  • Data management requirements for simulation
  • How business problems can be defined and solved
  • The role of experimental design
  • How insights can be generated
  • How to explore and discover possible routes to successful outcomes
  • How business intelligence, analytics, and simulation are related disciplines
This course is geared towards:
  • BI program leaders
  • BI architects and project managers
  • Business analytics team members
  • Business managers and decision makers
  • Functional analysts
  • Operations managers
  • Process improvement specialists

Average Customer Review: Average Customer Review: 4 of 5 4 of 5 Total Reviews: 1 Write a review.

  0 of 0 people found the following review helpful:
4 of 5 Course Review March 31, 2017
Reviewer: Maciej Borkowski  
It would be beneficial to provide more business cases related to described simulation techniques, instead presenting examples from oil factory/gas industry etc.

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