• Process management methodology and approach – Is it important to understand your current processes before you rely on data to tell you something new?
• Data capture and quality – How can this be realistically assessed and managed to capture accurate insights?
• What process performance metrics and measures should already be in place in the business, and how can process mining add value to these?

Dr Reinkemeyer, from Siemens, and editor of ‘Process Mining in Action’ will talk about the fundamentals of Process Mining and explore how to get started. He will also share:

• Experiences regarding the challenges, pitfalls and failures, as well as Process Mining set in relation to RPA, BPM and DTO (Digital Twin of an Organisation)
• An overview of successful use cases deployed at companies such as Siemens, BMW, and Deutsche Telekom, including key learnings
• An outlook on key trends and the future of Process Mining

For organisations dealing with large and complex operations and supply chains in the digital era, getting visibility on process performance is only the first step. By tapping into the vast data available and understanding the bigger picture, Process Mining can deliver operational insights that can champion strategic initiatives, such as the digital transformation of an organisation. This panel will explore:

• What visibility, analysis and understanding can Process Mining create around business operating models
• How it affects all end users of an organisation, who will ultimately have insight into how they are performing and what could be improved
• What are the implications of Process Mining working from the single-process level, right up to an organisational, end-to-end level?