Evaluation model for the analysis of data maturity

Carl Hanser Verlag
Publication Type:
Journal Article
ZWF Zeitschrift fuer Wirtschaftlichen Fabrikbetrieb, 2019, 114, (1-2), pp. 29-33
Issue Date:
Filename Description Size
1.pdfPublished version234.84 kB
Adobe PDF
Full metadata record
© Carl Hanser Verlag GmbH & Co. KG. Determination of the data maturity level for the application of machine learning methods in industrial manufacture. The digital transformation of business processes leads to a steady increase in available data. For the efficiently use of knowledge hidden in the data, companies are striving for the application of machine learning methods. Data quality is of outstanding importance for the applicability of machine learning methods and the quality of the results. This paper presents a model for the derivation of data maturity, to evaluate the chances of success of industrial data analytics projects and identify necessary steps for the improvement of data maturity.
Please use this identifier to cite or link to this item: