Call : (+91) 968636 4243
Mail : info@EncartaLabs.com
EncartaLabs

IBM Analytical Decision Management

( Duration: 2 Days )

IBM Analytical Decision Management 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.

This IBM Analytical Decision Management 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 and IBM SPSS Collaboration and Deployment Services, and how to deploy results for real-time.

  • Experience using applications, such as word processors or spreadsheets, in the Microsoft Windows, Macintosh or Linux environment
  • Experience with Analytical Decision Management is not necessary, though a basic understanding of Decision Management theory and techniques is helpful
  • Some familiarity with IBM SPSS Modeler and with Predictive, Clustering, and Association modeling is helpful

The IBM Analytical Decision Management workshop is ideal for:

  • Anyone with little or no experience in using Analytical Decision Management
  • Anyone who is interested in using Decision Management techniques to help them make business decisions
  • Anyone who is considering purchasing Analytical Decision Management

COURSE AGENDA

1

Introduction to Decision Management

  • What is Decision Management-
  • Why Use Decision Management-
  • Analytical Decision Management
  • Five Steps of Decision Management
  • Use of Data
  • Historical and Operational Data
  • Classification Models
  • User Defined Rules
  • Deploying Models
2

Managing Customer Interactions

  • Five Steps in Decision Management
  • Demonstration: A Marketing Call Center Business Case
3

Defining Data Sources

  • Data Structure
  • Field Storage
  • Field Measurement Level
  • Data Step
  • Project Data Source
  • Derived Tab
  • Secondary Data Sources
  • Compatibility of Data Sources
4

Defining Global Selections

  • Adding Rules to Global Selections
  • Defining and Sharing Rules
  • Evaluating Rules
5

Creating Rules from Models

  • Predictive Models
  • Predictive Rule Models
  • Clustering Models
  • Association Models
  • Automated Data Preparation & Partitioning
  • Evaluating Models
6

Defining Outcomes

  • Specify Project Duration
  • Include / Exclude Cases from Project
  • Define Action Categories
  • Create Allocation Rules
7

Prioritize, Optimize and Combine Outcomes

  • Selecting From Alternative Actions
  • Prioritizing Outcomes
  • Optimizing Outcomes
  • Combining Outcomes
8

Deploying Models for Scoring

  • Why Deploy the Project-
  • Real Time Scoring Panel
  • Batch Scoring Panel
  • Scoring Configurations
  • Using the Scoring View
9

Building a Custom Application

  • Application Configuration
  • Creating a New Application
10

Using Modeler Streams in ADM

  • Using Modeler Streams
  • Minimum Requirements for a Stream
  • Using a Stream in a Project

Encarta Labs Advantage

  • One Stop Corporate Training Solution Providers for over 6,000 various courses on a variety of subjects
  • All courses are delivered by Industry Veterans
  • Get jumpstarted from newbie to production ready in a matter of few days
  • Trained more than 50,000 Corporate executives across the Globe
  • All our trainings are conducted in workshop mode with more focus on hands-on sessions

View our other course offerings by visiting https://www.encartalabs.com/course-catalogue-all.php

Contact us for delivering this course as a public/open-house workshop/online training for a group of 10+ candidates.

Top
Notice
X