Digital transformation of business processes
Smartly overcoming SAP system boundaries with Process Mining methods
Background (customer reference):
Standardization and homogenization of the IT infrastructure at BLANC & FISCHER (1.1 billion sales, 8,500 employees, 5 subgroups). As part of a major digitization project, Blanc & Fischer set itself the goal of standardizing as many processes as possible. After the IT department was outsourced to Blanc & Fischer IT Services GmbH in 2013, the goal is to gradually standardize and homogenize the IT landscape by 2025, partly due to SAP’s announcement that it would only offer support for SAP S/4 HANA from that point on.
PAFnow Process Mining software was introduced at Blanc & Fischer in early 2017 to support the implementation of SAP S/4 HANA as the new technology standard in the company by 2025. With the help of PAFnow digital technology, all existing end-to-end business processes are identified, documented, analyzed and optimized. A particular challenge here are the cross-system business processes, as well as the numerous IT systems that are not SAP-based.
Key areas of expertise of the article:
The article describes the two most important success factors for the planning and use of Process Mining software in companies:
Pre-processing: previously unused volumes of operational process data must be tracked down in databases and transformed prior to Process Mining in order to gain new insights for process optimization. The article highlights what can be done to streamline the process for ingesting and pre-processing the data.
Post-processing: the diagnostic quality of Process Images generated by Process Mining techniques accelerates the identification of inefficiencies and errors in operational processes. The article shows how the gained insights can be used to derive well-founded recommendations for action and project proposals for the optimization of specialist business processes.
Read the whole article here (german only)