Managing Business Processes with ProcessMaker Training Course

Activiti is an open-source workflow engine and Business Process Management (BPM) Platform for business people, developers and system admins.

Bonita BPM is an open-source business process management and workflow suite comprising three core components: Bonita Studio, Bonita BPM Engine, and Bonita Portal. This platform is frequently utilized in projects involving complex workflows, such as Supply Chain Management, e-Government services, Human Resources, and Contract management.

Course Format

• The curriculum emphasizes practical, hands-on experience.
• Concepts are delivered through sample cases, exercises, and active development.

Target Audience:

This course is designed for managers seeking to understand BPMN diagrams, as well as Business Consultants, Business Analysts, Business Process Engineers, and System Analysts. It is ideal for anyone engaged in the analysis and planning of Business Processes using standardized, unified modeling notation.

Course Objectives:

• Create high-quality process diagrams
• Model processes using BPMN notation
• Document existing (as-is) process information
• Implement optimized process flows tailored for people-intensive processes
• Simplify complex process definitions by breaking them down into manageable components

This course bridges the gap between administration and Information Technology, incorporating tools and techniques for designing, implementing, controlling, and analyzing Operational Business Processes. These processes typically involve individuals, organizations, and software applications.
The curriculum features practical assignments, where participants are introduced to key topics during theoretical sessions and reinforced through hands-on exercises.

What will you learn?
1. The Fundamentals of BPM
2. BPM Implementation Strategies
3. Process modeling, analysis, and design
4. Governance and business strategies
5. Modeling a process with BPMN
6. Business rules

Audience:

This course is designed for managers making BPM-related decisions, Business Consultants, Business Analysts, Business Process Engineers, System Analysts, and anyone involved in analyzing and planning Business Processes.

Course Objectives:

• Enhance productivity and operational effectiveness
• Strengthen business process compliance and governance
• Make business processes more agile and adaptable to change
• Scale best practices across a transforming organization
• Improve communication, cooperation, and coordination among teams
• Increase visibility of the process pipeline
• Enhance the accuracy of operational forecasts
• Boost process throughput
• Reduce input costs by guiding process actors efficiently and minimizing reliance on high-cost, specialized staff
• Accelerate new hire onboarding by leveraging business process documentation

Target Audience:

Managers seeking to make informed decisions regarding BPM, Business Consultants, Business Analysts, Business Process Engineers, System Analysts, and anyone involved in the analysis and planning of Business Processes.

This BPM training will equip you with the skills to automate and oversee a wide array of business workflows. We will explore the automation steps involved in a typical process where work items are transferred between participants for action, guided by specific business rules. You will receive practical advice on best practices for automated monitoring, along with tips and tricks for efficient governance.

Upon completing the course, you will be able to:

• Grasp the key terms and concepts in BPM
• Apply major methodologies and techniques for implementing BPM
• Identify the various technologies that support BPM
• Distinguish between process and rules requirements
• Translate written business cases into process areas and rule sets
• Understand the differences in strategies between rules-centric and process-centric approaches
• Derive business intelligence from process descriptions & rule sets

This course is designed for professionals tasked with creating process models using BPMN 2.0.

It emphasizes the practical application of the entire BPMN 2.0 specification, including the implementation of common patterns.

The training consists of concise lectures followed by hands-on exercises: participants will be presented with problem scenarios in English and must construct appropriate diagrams for each. These diagrams will then be reviewed and evaluated by the group and the trainer.

The course aims to deepen understanding of BPMN diagrams while also covering the foundational aspects of BPMN execution.

This course is designed for business analysts looking to leverage BPMN 2.0 extensively in their projects.

It emphasizes the practical application of all BPMN 2.0 specifications, alongside the implementation of common patterns.

The course consists of concise lectures followed by hands-on exercises. Participants are presented with problems described in English and must create appropriate diagrams for each scenario. Subsequently, these diagrams are discussed and evaluated by the group and the instructor.

While this course does not address the execution phase of BPMN, it concentrates on the analysis and process design dimensions of BPMN 2.0.

Target Audience:

Delegates with an interest in Process Modelling will find this business process modeling notation training course particularly valuable. The course is designed for:

• Business and Process Analysts
• Process Designers and Implementers
• Project and Programme Managers
• Professionals involved in business change and transformation.

Process mining, also known as Automated Business Process Discovery (ABPD), is a methodology that utilizes algorithms on event logs to examine business processes. This approach extends beyond mere data storage and analysis; it connects data with operational workflows, offering valuable insights into the trends and patterns that influence process efficiency.

Course Format

• The course begins with a comprehensive overview of the most widely adopted process mining techniques. We will explore various process discovery algorithms and tools designed to model processes from raw event data. Through real-life case studies, you will analyze datasets using the ProM open-source framework.