Successfully using data for sheet metal processing

"The best mathematical model is useless if the company that is supposed to use it does not understand it," is one of the basic principles that Román conveyed to his listeners – and that once again underlines the individual approach with which Lantek accompanies every company in digital transformation. He also made it clear how important individualized business goals are and also individually-defined success criteria for the targeted use of data in sheet metal processing.

Román used the CRISP-DM model to illustrate how data can be used to make decisions and for automation in companies. As a cross-industry process model, the Cross Industry Standard Process for Data Mining describes how companies can use the data they already have to gain deeper insights, make correlations visible and control their processes. The repetitive self-checking cycle includes the definition of business goals, understanding data, preparing data, modeling, evaluation and implementation.

Román took a closer look at the data preparation. To assess the quality of the data, he presented the data quality report, which assesses the collected data with respect to its validity, consistency, representativeness, clearness and completeness. There are a variety of software tools for this purpose and for sensible data use in production and administration. "However, humans," said Román, "play an important role." For example, the Chief Data Officer (CDO) is now a fixed position at the managerial level of many companies who are on the path of digital transformation and optimizing their processes based on data intelligence.