Process Mining as a Service (PROMaaS)

Process mining is a method from the field of data mining and, in contrast to classic BI tools, offers a comprehensive insight into the live business processes. Based on the transactions performed from IT systems, entire business processes can be analysed end-to-end and made visible. As a result, bottlenecks, unproductive variants, deviations, rework and thus optimisation potentials can be uncovered.

Process mining uses existing transaction data from IT systems to reconstruct and analyse business processes. The starting point for the analysis is event data in the form of log files that reflect events or process activities in chronological order and can be assigned to a process instance. The chronological sequence of events allows the flow of a process to be mapped. Accordingly, each individual deviation from target processes can be disclosed and analysed down to the individual case level.

In the complex process landscape of modern companies, it is becoming increasingly difficult to maintain a holistic overview of all core processes. Process mining provides you with complete process transparency of process variants, comparison of target models with actual processes and process loops. This allows you to uncover process inefficiencies and cost saving potentials and to increase process efficiency.

As far as corresponding data is available in the system, basically any process can be reconstructed. Process mining offers particularly high added value in mass data processing. Classic use cases are accounting, sales, procurement, IT and master data processes. As a starting point for process mining, our customers often prefer very standardised processes such as the procurement process in order to compare them with best practice standards. However, company-specific and individual processes can also be mapped by our competence centre.

The decisive factor for the implementation period is the complexity of the process and the relevant source systems. For a standard P2P process, an implementation of 2 weeks is necessary after receipt of the data. For individual processes, there are many factors that influence the runtime - but this is usually 4 to 6 weeks. We would be happy to advise you on this and provide you with an offer for the implementation.

Yes, process analyses that already exist at your company can be integrated with ProMaaS.

PwC offers different best-practice KPIs for a variety of processes, which can be used out-of-the-box. In addition, customer-specific KPIs can be integrated into the analyses or developed at any time.

Process mining is used across industries and is in particular demand in the course of transformation and standardisation initiatives. In addition to gaining transparency and uncovering opportunities for short-term efficiency improvements, process mining thus also offers the possibility to prepare and accompany automation measures (e.g. RPA) or system conversions (e.g. S/4Hana). Our classic best practice analyses include:

• Process variant detection
• Lead time
• Rework rate
• Degree of automation
• Target/actual process comparison

If you wish, we can supplement these with our best-practice analyses, adapt them to your needs and develop individual analyses for you.