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Practical Business Process Modeling and Analysis

Practical Business Process Modeling and Analysis

By : Jim Sinur, Zbigniew Misiak, BJ Biernatowski
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Practical Business Process Modeling and Analysis

Practical Business Process Modeling and Analysis

By: Jim Sinur, Zbigniew Misiak, BJ Biernatowski

Overview of this book

Every business transformation begins with one question, “How can we do this better?” Whether it’s eliminating inefficiencies, optimizing business operations, or reimagining entire workflows with the help of AI, success depends on understanding and optimizing business processes. However, finding the right approach can be challenging with shifting market demands and evolving technologies. In this book, three seasoned experts in BPM, automation, and AI-driven process optimization guide you through frameworks, techniques, and tools that drive digital transformation by helping you explore business process modelling, before and after process execution. You'll visualize complex workflows, establish scalable process architectures that drive digital transformation, and integrate automation for efficiency. With insights into BPMN, business value analysis, and field-tested consulting guidance, you'll see how process-led design and data-driven decisions can lead to smarter, more agile operations. Through real-world examples, you’ll grasp how leading organizations have optimized their processes and how you can apply the same principles in your digital change program. By the end of this book, you’ll be able to identify, design, analyze, and transform business processes for measurable impact, as well as master the synergy of technology, process, and strategy to build systems that drive sustainable growth.
Table of Contents (14 chapters)
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10
Measuring the Business Value of Process Transformation
13
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Winning at Digital Transformation with Process Modeling

Process modeling is more than plotting out process steps in advance of creating an automated standard operation process that meets current business needs. Process modeling is used throughout the life cycle of both standard and emergent processes designed to respond to change in an emergent/blossoming fashion. A standard process example is that of underwriting risk that can adapt to changing business conditions and stakeholder needs or demands.

In this chapter, you will learn the names of different processes, the different types of active processes today, and the future of processes as they adapt to changing conditions. This is particularly true of the impact of AI and its contribution to process intelligence. The shift in process behavior will put an emphasis on process modeling as a process auditing capability as well as a processing planning tool. The reader will be able to understand and leverage process modeling better than ever before.

The following topics are covered in this chapter:

  • Is process modeling the key to real digital transformation?
  • How does process modeling contribute to digital transformation?
  • Types of process modeling today with usage guidelines
  • What is the future of process modeling in the context of other modeling disciplines?
  • What is the future of process modeling in the context of AI assistance?

Note

This chapter is authored by Jim Sinur. The chapter starts with the basics, projecting from the current value to the future value of processes and the process models that represent businesses. Jim brings significant credibility as a recognized process expert who has implemented processes and programming solutions.

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