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DATANOMIQ — DATA · AI · ENGINEERING
← All industries

Who we serve · DOMAIN / 04

Manufacturing

We unify MES, SCADA, quality, and ERP signals so plant and supply-chain leaders see performance and risk in real time — not after the fact in slides.

OEE · PLANT-WIDE

Normalized OEE across plants — so debates start from a shared definition of availability and performance.

— TYPICAL TIMELINE

8–14 wk

— TEAM SIZE

3–5 ppl

— STARTING POINT

Plant data audit

— DELIVERS

Shift dashboards

WHAT WE FOCUS ON

Domain depth, not template playbooks.

Supply chain, quality, and shop-floor intelligence — from sensors to decision dashboards.

TYPICAL SCENARIOS WE SOLVE

The shapes of work we keep seeing.

Challenge & how we help

SCENARIO / 01

OEE and downtime truth

— Challenge

Downtime reasons are inconsistent; OEE debates stall because each plant measures differently.

— How we help

Normalized time-series and batch logic, downtime root-cause views operators trust, and shift dashboards aligned to a single definition of availability and performance.

SCENARIO / 02

Supply disruption response

— Challenge

Forecasts break when suppliers slip and alternate sources are invisible until stockouts hit.

— How we help

Supplier performance analytics, scenario planning prototypes, and integrated visibility across tiers where your data allows — pragmatic, not theoretical.

SCENARIO / 03

Quality and traceability

— Challenge

Recalls and audits are expensive when batch genealogy lives in ad hoc spreadsheets.

— How we help

End-to-end traceability data models, quality analytics, and reporting that support both continuous improvement and regulator-ready evidence.

NEXT STEP

Ready to move faster? Let’s build it together.

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