SAS
“ Our aim is the democratisation of AI, and we provide visual interfaces throughout the entire analytics lifecycle, so there is no need to be an expert in coding to use it”
ADRIAAN VAN HORENBEEK TITLE: MANUFACTURING LEAD, CUSTOMER ADVISORY WESTERN EUROPE INDUSTRY: ANALYTICS SOFTWARE LOCATION: BELGIUM
ADRIAAN VAN HORENBEEK
Advanced analytics is also a valuable tool to serve customers in a better way. "In terms of pricing optimisation and customer intelligence, it can capture customers’ requirements and feed back into the R&D process to develop products that are aligned with the real customer needs." SAS supports clients with several Industry 4.0 solutions specific to the particular business problems in their industry. "In addition to our core technology, we've built solutions for dedicated business problems to give our clients a headstart in using advanced analytics according to their business context. In manufacturing, we have specific solutions like SAS® Analytics for IoT, SAS® Production Quality Analytics, and SAS® Asset Performance Analytics which is more targeted towards predictive maintenance. We also have SAS® Field Quality Analytics, targeted to analysing the data of a product during its lifetime." SAS® Viya® platform is built to capture raw data from a variety of different sources and provide dashboarding, statistical analysis,
EXECUTIVE BIO
MANUFACTURING LEAD ADVISORY WESTERN EUROPE, SAS
Adriaan holds master's degrees in electromechanical engineering and industrial management and received a Ph.D. in mechanical engineering at the University of Leuven for research on predictive maintenance in cooperation with several industrial companies like Bekaert and Atlas Copco. He worked two years as an industry asset management consultant for Stork where he performed reliability engineering projects at for example Umicore, BASF, and VPK. Today, at SAS he holds the position of manufacturing analytics expert and generates value through analytics within the process and manufacturing industry. His background of engineering skills, management skills, and data analytics skills, makes him an ideal partner to his clients to develop and embed analytics within their manufacturing processes.
