Process Mining

Traditional budgeting often resembles a marathon full of spreadsheets, manual reconciliations and time-consuming data collection. However, modern companies need agile, data-driven solutions that allow for transparency, efficiency and strategic foresight. Digital technologies such as digital twins, dashboards and process mining initiate this possibility: they transform the budgeting process from a static set of figures to a dynamic, simulation-capable management tool. Instead of getting lost in detailed work, companies can use them to analyze processes in real time, simulate scenarios and make well-informed decisions.

Short delivery times are essential in competitive markets. In addition to product selection and quality requirements, customers are also demanding more and more from logistics. However, high product variance complicates the situation, as it involves complex material flows and therefore leads to long throughput times. However, a four-step process analysis and modeling can help to reduce throughput times and strengthen the competitiveness of companies from within.

Automotive manufacturers and their suppliers need a high degree of process flexibility to respond quickly and efficiently to the market demand. Picture, however, production, purchasing and supply processes not interacting optimally, causing delays which inevitably pushes costs higher. The search for weak points in the supply chain is a major challenge, because common analysis tools cannot holistically capture the already complex processes. The new process mining technology, however, allows for the analysis and visualization of the entire process chain, a task which classic analysis tools fail to accomplish.