Business Chief Europe Magazine April 2021 | Page 226

SAS

Adriaan Van Horenbeek , Manufacturing Lead Advisory Western Europe at SAS , gives us the facts on the importance of digital transformation and analytics in the manufacturing industry

SAS is the leader in advanced and predictive analytics . Since 1976 , SAS has empowered and inspired customers with the most trusted analytics , innovative software , and services . From machine learning , deep learning , computer vision , and natural language processing ( NLP ) to forecasting and optimization , their AI and IoT technologies support diverse environments and scale to meet changing business needs .

Adriaan Van Horenbeek , Manufacturing Lead Advisory Western Europe at SAS , believes that in the manufacturing industry advanced analytics is now essential for businesses to thrive . " Most companies are now aware that digital transformation is here to stay . One of the key pillars of digital transformation involves making smarter use of data , leading to better decision-making . To do that you need advanced analytics ."
Digital transformation is driven by people , processes , and technology . " People will start using the new technology , so they need to develop new skills and we need to guide them . Their roles might shift a little . If you look at operators for example in the production plant , their role will become a bit more strategic as execution becomes automated by algorithms ."
When it comes to the process , the key is how to derive long-term value from advanced analytics with AI and machine learning . " This means finding out how to scale within the organisation , and for that , you need a clear process in place ," he says .
" We typically have a four-step-approach to work with the customer . The first one is to identify the business potential , to see where the largest opportunities are in terms of using analytics . The second one is to create lighthouse projects in a few weeks because this will show the organisation what the possibilities and value of using analytics are for them . The third step is to industrialise which means integrating advanced analytics in the day-to-day processes . The fourth step is scaling , which means accelerating digital transformation by expanding to other business units or their business clients ."

“ One of the key pillars of digital transformation is about making smarter use of data , leading to better decision-making . To do that you need advanced analytics ”

ADRIAAN VAN HORENBEEK MANUFACTURING LEAD ADVISORY WESTERN EUROPE , SAS
226 April 2021