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Processes are the machinery of any business. A well-oiled and maintained machine is the basis for a high-quality output. If the machine is maintained in time, the output remains high quality; if it is maintained too late, the consequences must be borne. Finding the right time and the right machine part for maintenance is the key to success. The same can be said about processes. Processes that work well today may be outdated, too infl exible or too costly tomorrow. Processes that are already characterised by unnecessarily high complexity will become a brake on the company in the future. They block potential for growth and lead to discomfort for all those involved. In order to keep machines in good shape, companies rely on predictive maintenance nowadays. Why not use something similar for processes? Is there perhaps such a thing as predictive maintenance for processes? Well, maybe the term doesn‘t exist, but the technology does - Process Mining...

RedStack Tech Article Process Mining MPM Promatis


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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