Watch Taking a Sledgehammer to Bottlenecks 🎥 as Ruth & Steph show how AI actually fixes margins.

Data Strategy

Data Strategy for Metals Manufacturers

Your factory produces data constantly. Shift reports, inspection results, order histories, material certifications, supplier records. Most of it is scattered across spreadsheets, email inboxes, and filing cabinets.

A data strategy is the plan for changing that. It covers what data you collect, where you store it, who can access it, and how you use it to make better decisions.

For metals manufacturers, the priorities are clear:

  • Data governance: who owns each data type, and who is allowed to change it
  • Data quality: are your material records accurate, complete, and traceable?
  • Data security and privacy: protecting customer order data and supplier certifications
  • Business intelligence: turning production records into dashboards that help you manage
  • DataOps: keeping your data pipelines working when systems change

You do not need a data science team to start. You need a clear picture of what data you already have and what decisions you wish you could make faster. Start there.

For metals manufacturers considering new software: your data stays yours. GoSmarter is EU-hosted and compliant with the General Data Protection Regulation (GDPR), your records are exportable as CSV at any time, and there are no exit fees. The data-strategy questions worth asking before any new system: where does my data live, what happens to it when I leave, and does the vendor make it easy to find out? Those should have clear, written answers before you sign anything.

Posts in this section cover governance frameworks, data platform choices, and the practical steps that turn scattered records into a working system.