Big Data Analytics

Big Data Analytics in Order Management

Big Data Analytics in Order Management

Tapping into untapped potential in the highly varied world of small-batch production
René Wöstmann, Fabian Nöhring, Jochen Deuse ORCID Icon, Ralf Klinkenberg, Thomas Lacker
The advancing digitization leads to new possibilities for the design and digital support of business processes. In particular, non-R&D-intensive, mostly small and medium-sized enterprises, face great challenges in realizing these potentials. In the context of this article, various application scenarios are outlined. A detailed example of a non-R&D-intensive company shows how the procurement can be supported by the analysis and forecasting of relevant data, e.g. process data or the availability and costs of components, as well as the creation of the offer.
Industrie 4.0 Management | Volume 33 | 2017 | Edition 4 | Pages 7-11
Measurement of the Effectiveness and Efficiency of Compliance Management Systems

Measurement of the Effectiveness and Efficiency of Compliance Management Systems

Nutzung von Datenanalysen für das Monitoring und Reporting
Verena Brandt, Michael Sauermann
Big Data Analytics and defined Key Performance Indicators (KPI) support the compliance organization´s scope of duty to continuously monitor and improve the compliance management system in a proper way. In order to perform their supervisory role, the management board needs a compliance monitoring and reporting on a regular basis. The article discusses the role of Big Data Analytics and the design of Key Performance Indicators (KPI) to establish an adequate monitoring and reporting system.
Industrie 4.0 Management | Volume 32 | 2016 | Edition 5 | Pages 62-66