KPMG’s process mining is a data-driven method for thorough analytics of cross-functional process chains. The process mining technology uses real ERP data to provide detailed process transparency and KPI calculations.
Process mining visualizes actual detailed business processes and enables easy exploration of process variations and deviations to defined processes. Process mining flows are without biases and subjective influences. They are purely based and modeled from actual transactional data, such as data from an ERP system. Two major uses for process mining are process discovery to identify “shadow” processes with impact on compliance and efficiency; another use case is visual process conformance analysis where unusual process flows and unusual activities become transparent, especially to identify fraudulent activities.
This enables an evaluation of performance per company, business unit and sub process to identify optimization potentials in terms of internal controls and FTE savings. Overall, process mining enables the business to find and present better alternatives in real-life processes, find a higher-quality path, make processes more efficient, and make controls more effective and execution less costly.
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