Wunderlich Analytics supports Research Project on Big Data

According to KPMG¹, a mere third of interviewed companies currently have and implement a big data strategy. In addition to uncertainties regarding data privacy, data security as well as costs involved, the reason for this development, above all, is the lack of functional and technical know-how.

In cooperation with the Chair of Business Informatics of Prof. Dr. Barbara Dinter at Chemnitz University of Technology, Wunderlich Analytics supports the master thesis “Framework for the Creation of Individual Implementation Concepts for the Integration of Big Data” prepared by Mr. José Backes. The thesis aims at demonstrating the functional and technical approach of big data integration, thus allowing companies a faster implementation of big data strategies. The framework development is supplemented by a company survey conducted by Mr. Backes. We would like to encourage you to participate in this survey anytime from 4 through 15 December. (www.big-data-guide.com)

Besides the technical infrastructure required for developing a big data architecture, Wunderlich Analytics also offers extensive know-how from their client projects as well as contacts into the industrial and business community. The results of this master thesis will contribute to a successful creation of individual implementation concepts for the integration of big data in companies.

¹⁾ KPMG (2017). Mit Daten Werte schaffen [Creating Value with Data] - Report 2017,http://hub.kpmg.de/hubfs/LandingPages-PDF/mit-daten-werte-schaffen-2017-kpmg.pdf, retrieved on 27 Nov. 2017