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Industries Manufacturing

Manufacturing

Connecting shop-floor sensors to enterprise systems for predictive, data-driven operations.

Predictive maintenanceSupply chain visibilityQuality analytics
7+ manufacturers supported
98% success rate
Manufacturing industry visual

10+

Markets unified

300+

Users on role-based dashboards

100%

KPI definitions standardised

Featured use case

A problem we solved

Manufacturing industry visual

The problem, solved

A global manufacturer had 10+ markets each running their own reporting stack with inconsistent KPIs. We built one governed Lakehouse with standardised KPI logic, giving leadership a single consolidated view for the first time.

The challenge

A global industrial manufacturer ran a different reporting stack per market, with inconsistent KPI definitions and no single source of truth — leadership depended on regional teams to manually assemble a consolidated view.

How we transformed it

Karsient consolidated on-prem and cloud source systems from 10+ markets into a single governed Lakehouse, standardising KPI logic centrally while preserving market-specific compliance controls, with mobile-enabled, role-based dashboards for every market.

Architecture

How data moves through a Manufacturing platform

Sources through to outcomes — the layers, and the live movement of data between them.

Sources

  • Shop-floor sensors
  • ERP per market
  • Manual & legacy files

Ingestion

  • Automated multi-market ingestion
  • Standardised KPI logic

Lakehouse

  • Central governed Lakehouse
  • Market-level access isolation

Analytics & AI

  • Role-based dashboards
  • Predictive maintenance

Live data flow · sources to outcomes

Benefits

What the business gained

One governed view of performance across 10+ markets

Standardised KPI definitions replacing market-by-market interpretation

Automated ingestion replacing manual file handling

A platform now extended into predictive maintenance and forecasting

What's next

Where this is heading

With a single governed data layer in place, the manufacturer is now piloting predictive maintenance models on shop-floor sensor data — a use case that would have required a separate integration project under the old per-market architecture.

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