Category archives: AIMMS
The next frontier: supply chain data architecture for your needs, not to feed the needs of numerous supply chain tech vendorsPosted on October 18, 2017 by Chris GordonLeave a reply
Data overload and quality issues are common problems faced by all organizations. This makes it really difficult to start getting value out of data with analytics. Inevitably, when you buy supply chain optimization software, you need to start hunting around for data to make the technology work – it can feel like you work for the technology vendor, not the other way around. That’s why 60% of the time spent in analytical supply chain projects is spent collecting data. The focus is on making the data work for the technology, rather than tackling your business need.
But today’s SC leaders don’t have weeks or months to solve pressing problems and the worse thing is, it doesn’t necessarily get easier once you’ve been through your first solution implementation. You may have deployed an out of the box Network Design solution. Implementing an Inventory Optimization App will take another tedious data integration process. In a supply chain context, that means it will take months before you can actually start improving margins, availability and service levels. To work proactively with analytics and truly embed them in your organization, data needs to be structured smarter and accessed for many needs.