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Learn how to identify, model, test and execute operational business decisions using Decision Model and Notation, DMN, and Drools. This three-day course shows how business decisions can be separated from process flows and application code, making decision logic more transparent, maintainable and accessible to both business and technical stakeholders. Participants learn how to create Decision Requirements Diagrams, design decision tables, write FEEL expressions and organise decision logic into reusable decision services. They also explore model testing, governance, versioning, collaboration and the execution of DMN models through the Drools DMN engine. The course concludes with an introduction to integrating decisions into BPMN processes and applications.
You will learn how to translate policies, calculations and operational rules into clear and executable DMN models. You will model decision dependencies, create decision tables, apply FEEL expressions, test decision outcomes and integrate completed models into applications using Drools.
• Separate business decisions from process logic and application code
• Identify suitable use cases for decision modelling and rule automation
• Create Decision Requirements Diagrams and reusable decision services
• Design decision tables with appropriate hit policies
• Define calculations and decision logic using FEEL
• Validate and test decision models against business scenarios
• Manage decision ownership, governance and model versions
• Support collaboration between analysts, subject-matter experts and developers
• Execute DMN models through the Drools DMN engine
• Understand how DMN decisions can be invoked from BPMN processes
• Basic understanding of business processes, policies or operational rules
• Familiarity with structured data, tables or logical expressions
• No previous experience with DMN or Drools is required
• Basic Java and Maven knowledge is recommended for the technical integration sections
• Familiarity with BPMN is beneficial but not required
*We customize the course outline and content to your specific needs and relevant use cases.
Day 1: Decision management and DMN foundations
Module 1: Business decisions and rule-based systems
• Understanding operational decisions, policies and business rules
• Comparing declarative decision logic with procedural application code
• Recognising suitable and unsuitable use cases for rule engines and decision automation
• Distinguishing decisions, processes, calculations and predictive models
Module 2: Separating decisions from process logic
• Identifying decision points within business processes and applications
• Extracting policy logic from workflows and source code
• Defining decision inputs, outputs and business objectives
• Establishing clear boundaries between process orchestration and decision logic
Module 3: Decision Requirements Diagrams
• Understanding decisions, input data, business knowledge models and knowledge sources
• Representing information and knowledge requirements
• Decomposing complex decisions into manageable components
• Defining reusable decision services and model interfaces
Module 4: Decision tables
• Translating business policies into structured decision rules
• Defining input clauses, output clauses and permitted values
• Applying unique, first, priority, any and collect hit policies
• Identifying overlaps, gaps, contradictions and redundant rules
Day 2: FEEL, model testing and governance
Module 5: FEEL fundamentals
• Understanding FEEL syntax, names, values and expressions
• Working with numbers, strings, Boolean values, dates, times and durations
• Applying comparisons, ranges, lists and conditional expressions
• Referencing input data and the results of other decisions
Module 6: Advanced decision logic
• Using contexts, lists, relations and function definitions
• Applying iteration, filtering and quantified expressions
• Creating literal expressions and other boxed expressions
• Designing reusable Business Knowledge Models and functions
Module 7: Modelling and testing decisions
• Defining representative business scenarios and expected outcomes
• Testing individual decisions and complete decision services
• Checking boundary values, missing inputs and conflicting rules
• Automating model tests and analysing validation messages
Module 8: Governance, versioning and collaboration
• Establishing ownership and approval responsibilities for decisions
• Documenting policies, assumptions, sources and model changes
• Managing model versions and compatibility between releases
• Organising collaboration between analysts, developers and subject-matter experts
Day 3: Drools execution and process integration
Module 9: Executing DMN models with Drools
• Understanding the role of the Drools DMN engine
• Structuring a Java and Maven project containing DMN resources
• Loading, validating and evaluating DMN models
• Supplying input data and processing decision results and messages
Module 10: Application and service integration
• Encapsulating models as reusable decision services
• Invoking decisions from Java application components
• Exposing decision execution through application or service interfaces
• Handling invalid inputs, evaluation failures and model diagnostics
Module 11: Introduction to BPMN integration
• Comparing BPMN process orchestration with DMN decision logic
• Identifying business rule tasks and decision points in a process
• Passing process data into a DMN decision and returning results
• Coordinating process versions and decision model versions
Module 12: End-to-end decision modelling project
• Analysing a business policy and identifying its decision structure
• Creating a Decision Requirements Diagram and supporting data types
• Implementing decision tables, FEEL expressions and reusable knowledge
• Testing, reviewing and executing the completed model through Drools
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