Data Analytics and Industrial IoT
We deploy connected sensors, build the data pipeline behind them and develop the analytics use cases that turn data into decisions
Data Analytics and Industrial
IoT
Our team builds the foundation layer of your industrial digital effort. That means deploying connected sensors, building the pipeline that moves and stores their data including the extract and load steps and a time series database, developing analytics use cases on top, and giving people self service visualisation. We weave in IEC 62443 cybersecurity, governance for your machine learning operations, and the operator decision workflow that turns a number on a screen into an action on the plant.
Our implementation model
A practical, phased delivery approach that runs from gap assessment through operational embedding and is built around your regulatory context.
Define data strategy, sources, governance, lake / warehouse / lakehouse architecture, real time vs batch processing.
Deploy IoT sensors, vibration, temperature, pressure, flow, energy, per asset criticality and use case priority.
Build data pipeline, ETL / ELT, time series database (e.g., Aveva PI, InfluxDB), data quality validation.
Develop analytics use cases, anomaly detection, predictive maintenance, performance optimisation, pilot and validate.
Self service analytics platforms (Power BI / Tableau / Grafana), real time dashboards, decision support tools.
Data governance, IEC 62443 cybersecurity, MLOps for analytics models, vendor management, refresh cycle.
Data Analytics and Industrial in full scope
Value of Data Analytics and Industrial IoT
- Anomaly detection signals deterioration early
- Predictive maintenance heads off breakdowns
- IEC 62443 defends your systems against cyber attack
- Hazards become visible in real time
- Your controls meet IEC 62443
- Your operation aligns with ISA 95
- Your data trail stands up under audit
- You meet privacy and data residency obligations
- Predictive maintenance becomes more accurate
- Quality is predicted before it slips
- Energy intensity falls
- Performance is continuously optimised
- You avoid the cost of breakdowns
- Energy costs fall
- The cost of poor quality falls
- Operating costs come down
Codes & standards we work to
Triggers that signal the need
Where Data Analytics and Industrial IoT applies
Wellheads, separators, gas compression, FPSO topsides, produced water systems.
Distillation columns, reactors, heat exchangers, storage spheres, LPG handling.
Cryogenic exchangers, liquefaction trains, BOG compressors, storage and sendout.
Reactive systems, batch reactors, solvent handling, runaway reaction scenarios.
Boilers, HRSGs, steam headers, hydrogen systems, ammonia SCR units.
Sterile vessels, CIP/SIP, pressure fermenters, solvent recovery, spray dryers.
Tangible deliverables
- A data strategy and architecture
- A connected sensor deployment plan
- A data pipeline specification
- A library of analytics use cases
- A visualisation dashboard
- A cyber and governance framework
Ready to start your project?
Speak with our team to scope an engagement tailored to your facility, regulatory context, and lifecycle stage.