A large national retail and consumer products sector organization had systems in place to forecast, monitor, and control the progress through its fast-moving supply chain of popular items that made up a large portion of daily sales. These systems reside in physical data centers— and if those data centers were to suffer outages, disruption to the distribution network and store inventories would cause significant loss of revenue every hour services are unavailable.
The cost of creating redundant legacy systems to mitigate this risk was significant, but the data that helped forecast and control product movement—such as SKUs, purchase orders, invoice data, and pricing—wouldn’t change. The intelligence the company needed to extract from that data during every minute of operation remained the same. But the system that translated one into the other had to be backed up by the most reliable architecture available.