Automated processes simplify many areas of order management, logistics and production. Most process steps are recorded by computer and filed with the corresponding times and quantities (e.g. throughput times, restocking times, batch sizes). However, results are only as reliable as the quality of the data recorded. Especially when it comes to planning, disposition and supply processes, data stocks are often complex and not kept up-to-date in such a dynamic market environment. As a result, they do not often meet the requirements made of them.
Particularly due to the fact that master and transaction data form the basis of all company processes, it is imperative that information is flawless, complete, up-to-date and absolutely accurate. Faulty data could cause disruptions, resulting in high costs, impaired processes, errors or even defective components.
Appropriately-designed analysis and optimization processes offer companies additional advantages and also generate new knowledge. For example, they can be used to identify previously-unknown correlations in production. Improvements in the parameters of a production planning and control system (PPS) can then be made on the basis of this information or specific production improvement measures implemented. However, the advantages have to outweigh the effort required to manage master and transaction data effectively. We have developed efficient methods and tools to obtain the quality of data you need: