CGI
CGI ’ s manufacturing and data strategy Becoming a truly data-driven manufacturing organisation requires implementing a digital continuum from design and distribution through to sales and customer feedback . It requires becoming an intelligently connected organisation where business units share and receive information at the right time . CGI ’ s data driven manufacturing approach has four core pillars :
• Data strategy
• Data management
• Enterprise intelligence
• Organisational readiness
“ Success starts with getting clear on what the customer ’ s vision is for the data ,” says Huesmann .
CGI focuses on the problems that customers are trying to solve , for example , why they want to get into data-driven manufacturing , what trend , challenge or opportunity they are trying to reach through incorporating data-driven processes and operations .
Huesmann says : “ Of course , the biggest trend at the moment is sustainability . All of CGI ’ s manufacturing clients are focusing on this , and want to know how they can reduce the amount of energy used , improve the yield on raw material , produce less waste and reuse old materials . All that requires data .”
The second pillar is data management – how and where data is collected . Data comes from different data sources with different historical owners , including engineering data from PLM systems , transaction data from ERP systems , manufacturing data from MES systems and external data sources .
The data landscape can be very complex , Huesmann says , who adds it also involves multiple users and agents within the chain . “ Understanding who owns the data and who has access is key to providing security and clarity .” The third pillar is enterprise intelligence . “ Sense , connect , collect , context , analyse , act ,” Explains Huesmann , “ Once manufacturers have developed a healthy data foundation through strategy , governance and management they are now in a place to harvest .
66 December 2023