Global Manufacturer Turns a 14,000-Item Vulnerability Backlog into a Working Queue
The scanning was never the problem. Ranking findings by exposure rather than by severity score made the backlog finite.
Manufacturing transformation is judged on uptime and on-time delivery, not on go-live dates. Our work concentrates on the data that predicts a stoppage and the collaboration that prevents one.
Six shifts we see across engagements in this industry, and what each one asks of the underlying system.
Asset telemetry converted into scheduled intervention before failure carries a cost.
Supplier visibility extended into the plan, not just the purchase order.
Industrial customers whose order patterns signal attrition long before the contract lapses.
Custom code contained so that every future upgrade is an upgrade rather than a project.
Testing designed around the risk of a defect reaching the line.
Consolidated financial reporting across plants and entities on one model.
The scanning was never the problem. Ranking findings by exposure rather than by severity score made the backlog finite.
A business data fabric and self-service analytics layer built on SAP Datasphere and SAP Analytics Cloud.
Insight pushed to the frontline inside S/4HANA, where the decision is actually made.
Bring us the process that is causing trouble. We will come back with a business case, a roadmap and an honest estimate.