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Analytics for Manufacturing: Margin, Scrap and Stock Cover

Manufacturing usually has more data than anyone reports on and less trust in it than any other sector. Machine logs, production records and stock movements exist; what is missing is agreement about what a unit actually costs once scrap, rework and downtime are included. Until that number is agreed, every efficiency debate is opinion. The first engagement is normally about defining and reconciling a handful of measures, not about building screens, and it is far less glamorous than clients expect.

What usually breaks here

  • Production planning that lives in one planner's head and one master spreadsheet
  • Raw-material purchasing driven by stockouts rather than reorder logic
  • Costing that discovers margin after the order ships, not before it is quoted
  • Delivery promises made without visibility of capacity or stock

What changes

  • Live dashboards refreshed automatically from source systems
  • Conversion tracking from first touch to invoice, GDPR-conscious by design
  • Agreed definitions and one metrics layer everyone reads from
  • Attribution reporting tied to actual sales, not platform-reported conversions
  • Threshold alerts on the metrics that matter — margins, stock cover, pipeline
The full serviceData & AnalyticsDashboards and measurement that turn the data you already generate into decisions.

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