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Beratung zu Yield und Datenanalyse

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Meta Data Manage­ment & Traceability

What we mean

The holistic approach and ana­ly­sis of all pro­duc­tion rela­ted data gains impor­t­ance the suc­cess of a com­pa­ny. Brin­ging tog­e­ther tool‑, measurement‑, facility‑, material‑, maintenance‑, and other data and orga­ni­zing them is decisi­ve to achie­ve best results in tracea­bi­li­ty, per­for­mance and data consistency.
Star­ting from a con­cre­te use case we sup­port you set­ting up the data models and the defi­ni­ti­on and imple­men­ta­ti­on of stan­dar­di­z­a­ti­on requi­re­ments on your mas­ter data.

How we do it

In order to have your data avail­ab­le cor­rect­ly for repor­ting and ana­ly­sis we work with your users from the dif­fe­rent are­as to build models, stan­dar­di­z­a­ti­on requi­re­ment and tracea­bi­li­ty con­cepts. The collec­tion and inte­gra­ti­on of expert know­ledge of engi­neers and experts is key to achie­ve the best data structure

  • Yield/Quality
  • Con­sul­ting
  • Data Inte­gra­ti­on
  • Imple­men­ta­ti­on
  • Orga­niz­a­ti­on
  • Data Ana­ly­tics
    • Work­shops
    • Poten­ti­al Analysis 
    • Mode­ra­ti­on
    • Requi­re­ment analysis 
    • Data rela­ti­on and data models 
    • Stra­te­gy and Vision 
    • Per­so­nas and interfaces 

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