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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