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Introduction to Analytical Decision Management (v18)

2.240,00€

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 (v18) and IBM SPSS Collaboration and Deployment Services (v8), and how to deploy results for real-time.

SKU: 19. Category:

Description

At SIXE we have been providing official IBM training around the world for over 12 years. Get the best training from our specialists in Europe. We have important discounts and offers for two or more students.

Course details

IBM course code: 0S114GCategory: SPSS / SPSS Modeler
Delivery: Online & on-site**Course length in days: 2

Target audience

This course is intended for:

• Anyone with little or no experience in using Analytical Decision Management v18

• Anyone who is interested in using Decision Management techniques to help them make business decisions

• Anyone who is considering purchasing Analytical Decision Management v18

Desired Prerequisites:

You should have:

• Experience using applications, such as word processors or spreadsheets, in the Microsoft Windows, Macintosh or Linux environment

•  Experience with Analytical Decision Management v18 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

 

Instructors

The great majority of the IBM courses we offer are taught directly by our engineers. This is the only way we can guarantee the highest quality. We complement all the training with our own materials and laboratories, based on our experience during the deployments, migrations and courses that we have carried out during all these years.

Added value

Our courses are deeply role oriented. To give an example, the needs for technology mastery are different for developer teams and for the people in charge of deploying and managing the underlying infrastructure. The level of previous experience is also important and we take it very seriously. That is why beyond (boring) commands and tasks, we focus on solving the problems that arise in the day to day of each team. Providing them with the knowledge, competencies and skills required for each project. In addition, our documentation is based on the latest version of each product.

Agenda and course syllabus

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. A Sample Session:  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

 

Do you need to adapt this syllabus to your needs? Are you interested in other courses?  Ask us without obligation.

Locations for on-site delivery

  • Austria: Vienna
  • Belgium: Brussels, Ghent
  • Denmark: Cophenhagen
  • Estonia: Tallinn
  • Finland: Helsinki
  • France: Paris, Marseille, Lyon
  • Germany: Berlin, Munich, Cologne, Hamburg
  • Greece: Athens, Thessaloniki
  • Italy: Rome
  • Louxemburg: Louxembourg (city)
  • Netherlands: Amsterdam
  • Norway: Oslo
  • Portugal: Lisbon, Braga, Porto, Coimbra
  • Slovakia: Bratislava
  • Slovenia: Bratislava
  • Spain: Madrid, Sevilla, Valencia, Barcelona, Bilbao, Málaga
  • Sweden: Stockholm
  • Turkey: Ankara
  • United Kingdom: London

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