Capture signals from the field, make operations visible, and turn insight into action. This capability combines real-time platforms with high-value use cases to reduce downtime, energy waste and logistics cost.
Measurable impact through data-driven operational excellence and predictive insights
Fewer unplanned stoppages via
predictive signals
Lower energy cost through
baselines and anomaly detection
Better planning via optimisation and scenario analysis
Near real-time action loops for
operations teams
Proven ROI via KPIs and
measurement cadence
Scale confidently across sites
and asset types
Proof
What you get
Comprehensive deliverables that connect data sources to measurable business outcomes
Source inventory
(PLC/SCADA/sensors/ERP/MES/CMMS, etc.)
Real-time event model + taxonomy
KPI baseline
(OEE, downtime, energy per unit, OTIF, etc.)
Use-case portfolio
Use-case portfolio (impact × effort × readiness)
Pilot scope
(Site/line/equipment + success criteria)
Platform architecture
(Edge ingestion, storage, analytics)
Dashboards
Alerting approach for operations teams
Scale roadmap
(sites, governance, operations)
CSI backlog
(Continuous improvements + next use cases)
Typical performance improvements
How it works
How it works
A systematic approach from discovery to scale across your operational environment
1
Discover
Target KPIs, current pain points, available data
2
Design
Platform blueprint + event model + quality/security
3
Pilot
Measured delivery for selected use cases
4
Operate
Pipelines, alerts, SOP/response loop
5
Scale
Expand across sites and use-case portfolio
Services
Industrial intelligence services
Specialised services covering the full spectrum of operational intelligence needs
SRV-021
Industrial IoT Data & Real-Time Operations Platform
An industrial IoT data and monitoring platform service that collects real-time data from field devices and sensors, normalises and enriches this data to make it usable for dashboards, alarms and analytical models; providing operational visibility.
A predictive maintenance and production analytics service that uses machine and production line data to identify faults and performance anomalies in advance, reduces unplanned downtime, and transforms maintenance processes into data-driven operations.
A service that monitors energy consumption and environmental indicators at facility, line and equipment level, identifying wastage points, inefficient operating models and improvement opportunities; delivering analytics reporting and optimisation aligned with sustainability goals.
A supply chain analytics service that analyses supply, inventory, order and distribution data to provide optimisation across inventory levels, warehouse locations and distribution routes; aiming to improve service levels whilst reducing costs.
An assessment service that produces an actionable AI and data transformation plan by analysing current data assets, data architecture and business objectives to identify suitable use case scenarios, requirements and roadmap for artificial intelligence and analytics.
Discovery — Toolkit Question Set Usage
Data Architecture & Governance Evaluation — Toolkit Maturity Model
AI/ML Readiness Analysis — Toolkit AI Readiness Matrix
Use Case & Business Value Analysis — Toolkit Scoring Engine