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 MANUFACTURING LEAD ADVISORY WESTERN EUROPE , SAS
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
ADRIAAN VAN HORENBEEK
TITLE : MANUFACTURING LEAD , CUSTOMER ADVISORY WESTERN EUROPE
INDUSTRY : ANALYTICS SOFTWARE LOCATION : BELGIUM
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 .