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Global Process Mining Survey 2021
Delivering Value with Process Analytics –
Adoption and Success Factors of Process Mining

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to Deloitte's Global Process Mining Survey 2021 

WHAT CAN YOU EXPECT?

With its Global Process Mining Survey, Deloitte addresses the current state of process mining adoption and delivers insights on how process mining generates value. The survey aims to identify trends and pitfalls of process mining projects, to help adopters getting on the right track in their process analytics journey, and offers valuable insights on how to generate real value add out of your initiative.

ABOUT MEHRWERK

As founder of MPM ProcessMining, Qlik® Elite Solution Provider and SAP® Gold Partner with more than 250 customers, MEHRWERK delivers powerful process mining and professional business analytics applications. Customers benefit significantly from the unique combination of market-leading business intelligence technology and process mining. MPM ProcessMining enables process mining, classic BI/reporting and self-service process mining with the unique advantages of Qlik® technology on the basis of a single software platform. Thanks to the modular structure and the ready-made business content, meaningful analysis and dashboard applications can be created in the shortest possible time - from individual applications to company-wide use. Agile project methodology enables classic BI applications (e.g. CRM and SCM with Qlik® SAP® Sales- & Purchase-Cockpit) as well as process mining scenarios / process analyses over the entire value chain (e.g. order-to-cash & purchase-to-pay) to be realized in a short period of time for all company divisions. Other application scenarios include price analyses, production controlling, e-commerce & web analyses, customer journey as well as process costs analytics etc. Close cooperation with customers ensures long-term project success.

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ABOUT the Center for Process Bionics (CPB)

Our ambition is to sustainably transform business processes. With the Process Bionics concept, Deloitte is turning process mining into a data-driven management approach. We aim to find new dynamic and sustainable ways to apply the insights gained from corporate processes and drive impactful, fact-based transformation. Our approach mimics the process of natural evolution applied to technology adoption in the area of AI/machine learning, hyperautomation and next-generation business process management. We aim at taking insight-driven process transformation to the next level by combining latest technology expertise with a human-centered, data-to-value approach.