Data readiness

Fix scattered production data: one OEE and scrap definition, full traceability, and a clean data layer for BI and AI.

AI pilots stall and dashboards disagree when production data is scattered, inconsistent or missing operational context. Itransition builds the data foundation that fixes this, so BI and AI run from the same source of truth.

What you get
- One OEE, scrap and yield definition everywhere
- Two-way traceability: every component inside a unit and every unit affected by a component lot
- A clean data layer for dashboards and AI models

What we do
We map data from PLC/SCADA, MES, QMS, PLM and ERP, standardise KPI definitions and IDs for parts, orders, work centres and serials, and build one shared data layer with automated checks for data quality and completeness. Every metric traces back to its source. We also connect ERP, MES, WMS and finance into dashboards your teams trust.

How we de-risk it
Phase one proves the full path on a single production line: sources connected, OEE and scrap reconciled with shop-floor reality, units traced end to end. You get clear acceptance criteria before any wider rollout.

Deployment
AWS, Microsoft Azure, on-premises or hybrid.

Customer results
- Calibration equipment maker: test results bound to each device serial, certificates generated automatically
- Metal fabricator: CAD, nesting/MES and ERP integrated, with real-time material tracking
- Food and beverage producer: MES and ERP integrated for real-time output and inventory visibility

Book a production data review: in a short call we map your sources and current KPIs, find where the numbers diverge, and decide whether a focused first phase makes sense.