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The Discipline of Process Management: Foundation for Value-driven Digital Transformation

Most organizations have started their digital transformation journey or at least plan for it. However, many companies struggle to realize the full business potential of their digital solutions. As a consequence, business cases are often not or not fully met. The Discipline of Business Process Management addresses this issue. It enables a value-driven digital transformation, focusing systematically on the expected business outcomes. 

A successful digital transformation targets business value and works towards a well-defined business case. This value of the transformation is delivered through new or enhanced business processes. Digitalization only delivers its business benefits if you improve what you do or if it helps to do something new that provides additional value. The discipline of process management organizes this focus on systematic and pragmatic identification and realization of business results. 

To optimize the time-to-value, fast but well-informed decisions are required. This is achieved through process-related data about current and future process performance – delivered through process management. Process management tools like modeling, repository, or mining tools form the infrastructure for the process management discipline, supporting an efficient and reliable “process of process management”. 

This presentation discussed the key elements of the discipline of business process management and how they provide the foundation for a value-driven digital transformation. This is illustrated using case examples from consumer goods and technology manufacturing companies. 

Main topics: 

• Value and Definition of the discipline of business process management
• Value-driven digital transformation through process standardization, innovation, and automation
• Taking fast and well-informed decisions based on process-related data
• Sustaining transformation outcomes through pragmatic process governance
• Appropriate leverage of digital tools, like modeling, repositories, and mining systems