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TU Berlin

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Statistance

Lupe

Software for simplified statistical analysis

Team:
Julian Ariza Alvarez
(PhD; Industrial Engineering);
Johannes Schober
(Dr.-Ing.; Industrial Engineering);
Stephan Siek
(Dipl.Inf; Computer Science)

Sector:
Manufacturing, Quality Management

Mentor:
Prof. Dr.-Ing. Roland Jochem

Faculty:
Faculty V - Mechanical Engineering and Transport Systems,
Institute of Machine Tools and Factory Management,
Chair of Quality Science

Support:
EXIST-Gründerstipendium, Dez. 2018 – Nov. 2019

Data driven process optimization

Lupe

Our idea

Statistance assists manufacturing companies in selecting and performing appropriate statistical analyses for data-driven process optimization, allowing an easy interpretation of the results.

Employees are currently overpromoted with the data analysis common in quality management. This is currently done using statistics software (e.g. Mintitab, SPSS, JMP, etc.). Existing statistics software requires time-consuming and cost-intensive training from its users, both in statistics and in the operation of the software. All this is omitted with Statistance. Statistical statements are consistently translated into an understandable language through dialogue-based method selection and application.

www.statistance.com

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