At AICG, we’re committed to empowering our Manufacturing clients with access to the data and analytics they need to make informed business decisions.
There is no shortage of data available when it comes to manufacturing, and most of the time, all of that data exists within disparate source systems. We highly recommend centralizing all of your data into a secure data cloud, where it can be accessed by the people who need it, when they need it. This process involves organizing the data within the cloud appropriately and designing and implementing role based access control (RBAC) that ensures data is only accessed by users who are approved to access it. Normalizing all of that data, bringing it together into a single source of truth in a secure manner, and designing data models that produce analytics that offer actionable insights can be complex, costly, and time consuming. AICG is committed to providing our manufacturing clients with affordable quick wins that allow them to focus on other tasks.
At AICG, we know data integration, modeling, and cloud implementation inside and out, which makes us very good at what we do!
At AICG, we like to take a 3 step approach that guarantees we’re providing our clients with the best possible solutions to their data and analytics challenges. We start out by evaluating your unique situation and then create an appropriate strategy to empower your organization with access to your data. Finally, we turn plans into action and execute extensive testing to ensure that security measures are functioning and data is flowing as it should.
Analytics for Manufacturing
Analytics for manufacturing can serve a variety of purposes including optimizing production volume and throughput, increasing on-time delivery, overall operations effectiveness (OOE), and overall equipment effectiveness (OEE), reducing production costs and downtime, identifying key risks, preventative maintenance, establishing and maintaining a competitive advantage, and many more. By incorporating production details (like unit costs, first time right (FTR), scrap material, performance, etc.) with various other data, manufacturing organizations can take a comprehensive look at the business and take actions to improve things before they become a problem.