Do you trust your master data? The cleansing of master data is holding many companies back when it comes to digitalisation, although this is precisely where things should be moving forward:
Digital processes are scaling, and master data cleansing should too.
Natural language processing and machine learning make it possible to scale master data cleansing.
The first step in any cleansing process is an awareness of data quality. The quality analysis creates transparency in no time at all.
A lot of information ends up in designation texts: stresses, materials, dimensions ... get this data back and clear the way for seamless information utilisation in your company!
Designations are as varied as the names people give them. Finding parts again becomes a project, reuse decreases. Use AI to get back to standardised terms for parts and find what you are looking for.
Felix Stein
Mobil: +49 151 51569558
felix.stein@complexity-academy.com