Professional Development Training

Data Driven Process Improvement

Course Code: AMS331

Data Driven Process Improvement is the primary tool for assessing and prioritizing improvement opportunities within active business functions.  This course is designed to illustrate a time proven set of techniques, methods, and tools to help acquire, understand, document, and model process effectiveness based on data. Additionally, we will delve into how Generative AI can enhance your capability to identify, validate, and integrate improvements.

Learning Modules 

Analyzing Business Processes for Data Modeling

    • Analyzing Process Models
    • Analyzing Activity Diagrams
    • Adding the Measurement Model
    • Updating the Data Model

Introduction to Business Data Modeling

    • On Human Communication
    • The Data Foundation
    • Data, Information, and Knowledge
    • Benefits of High-Quality Models

Defining Business Data Modeling

    • Types of Goals and Data
    • Data Model Diagrams and Graphic Conventions
    • Data Model Evolution
    • Defining Entities

Modeling Business Data

    • Testing your Data Model
    • Best Practices for Data Modeling
    • Example of UML Data Model
    • Activity Diagram with Swim Lanes

Who Should Attend

Anyone seeking to widen their skills around using data to drive process improvement, widen their knowledge around the integration of AI, and process owners who embrace CQI and Kaizen concepts.

Blended Delivery Modality and Duration Options


  • Accelerated Course = 2 learning modules delivered in a half day
  • Full course = 4 learning modules delivered in one day

Live Online

  • Accelerated Course = 2 learning modules delivered in one 3.5-hour session
  • Full course = 4 learning modules delivered in two 3.5-hour sessions

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