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Introduction to Analytical Decision Management (V17)

IBM Course Code: 0W113G

GK# 3340 Vendor# 0S113G

$720 - $1495 CAD

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Course Overview

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This course brings the benefit of predictive analytics to real business problems, allowing you to build custom applications tailored to your customers or industry. While applications are typically configured to solve very specific problems, all are based on a common set of capabilities: Automate decisions using business rules; add insight using predictive models; and use prioritization, optimization, or simulation to reach the best decision based on the above. A number of packaged applications are available, tailored to solving specific business problems.

The course will not only cover how to use the packaged applications, but also how to create your own applications; how Analytical Decision Management interplays with IBM SPSS Modeler (v17) and IBM SPSS Collaboration and Deployment Services (v7); and how to deploy results for real-time.

Outline

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Self-Paced Outline

  • Introduction to Decision Management
  • A Sample Session: ┬áManaging Customer Interactions
  • Defining Data Sources
  • Defining Global Selections
  • Creating Rules From Models
  • Defining Outcomes
  • Prioritizing / Optimizing Outcomes
  • Deploying Models for Scoring
  • Interplay between Modeler and Analytical Decision Management
  • Building a Custom Application
  • Administering Applications

Who Should Attend

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This basic course is for business users who want to optimize and automate the millions of decisions made every day. The course is for people who want to be able to:

  • Automate decisions using business rules.
  • Add insight using predictive models.
  • Use prioritization, optimization, or simulation to reach the best decision based on the above
Course Delivery

This course is available in the following formats:

Classroom Live

Receive face-to-face instruction at one of our training center locations.

Duration: 2 day

Virtual Classroom Live

Experience expert-led online training from the convenience of your home, office or anywhere with an internet connection.

Duration: 2 day

Self-Paced

Recordings, hands-on labs and expert instructors empower you to train on your own schedule.



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