Take a head start and use the process knowledge.
Process mining is the digital way to combine business data analysis and process optimization. Whenever an activity takes place in the company, it is assigned to a unique process instance - the 'Cases'. All relevant transaction data of this process are saved in log files by the ERP system - the 'event logs'.
A minimal event log consists of the following three information.
If this information is available, you can start right away.
The case identifier links all events of a concrete business case to a unique sequence.
The activity name describes which process step was executed.
The timestamp describes at what time a certain activity took place.
Process mining links the data of Case ID, Activity and Timestamp to a process flow in the correct sequence and visualizes them in a corresponding path with evaluable information on process efficiency, for example:
The possibilities of process analysis are almost unlimited and only depend on the data that is fed to the process mining software. This data is already available in all common ERP systems and can be retrieved by process mining.
Match your target processes with reality and act before individual alternative processes can establish, which can only be corrected with much effort. Synchronize processes of your business units and production facilities, neutrally and 1:1 comparable.
Get an overview of monetary flows and durations. Identify optimization potential in transactions on customer base. Compare margins of products and contracts. Verify payment times of your clients and review inventory turnover rates of your warehouses and consignment stocks.
Do not overlook when and where a problem evolves. Intervene before it gets painful and expensive. Measure supplier performance as well as your internal KPIs. Identify products with low turnover rate. Always bear in mind production costs and lead times.
Ensure that all business processes run according to internal and external guidelines. Confirm that no step is bypassed or operated incorrectly at any point. Avoid risks by process sequences becoming independent from the standards. Identify discrepancies from your target processes.
Measure and compare lead times, turnover development, order registration frequencies of your teams and find out where they can learn from each other. Discover outliers by the use of key figure monitoring. Identify synergy potentials and unnecessary double work.
Discover potential troublemakers among your product portfolio; identify items with an extraordinary high return rate, overly long production times and low margin assortments. See which products are sold preferably by your staff. Run automated root analyses.