Service
OT/IT Data Integration
Your plant floor data reaches your analytics platform - reliably, in real time, without disrupting operations.
The Problem
A manufacturing plant runs on a dozen systems that were never designed to talk to each other. Historians hold process data. MES holds production records. LIMS holds lab results. CMMS holds maintenance history. Each is a silo, and most integration efforts treat them that way - one connector at a time, no shared context. The real work is correlating these sources: process conditions against lab results, production schedules, and maintenance history simultaneously. That requires knowing how these environments actually work, not just how to write a connector.
What You Get
- ▸Source system inventory and integration architecture across OT, MES, LIMS, CMMS, and enterprise data extracts
- ▸Extraction pipelines from historians, control systems, and operational databases
- ▸Integration across the full operational data landscape - process, production, quality, maintenance, and operational systems
- ▸Unified, contextualized data schema that joins process, production, lab, and maintenance records
- ▸Monitoring and alerting for pipeline health and data latency across all sources
- ▸Runbook and handoff documentation
Stack & Tools
OSI PI, Aspen IP.21, Ignition, Kepware, OPC-UA, MQTT, ODBC, MES systems (various), LIMS and CMMS database extracts, historian ETL tooling, Azure Data Factory, AWS IoT, Databricks Auto Loader.
How We Work
Phase 1
Discovery
Audit your OT landscape - systems, protocols, network topology, tag namespaces, and data ownership. Identify integration targets and define success metrics with your team.
Phase 2
Design
Produce integration architecture, protocol selection (OPC-UA, REST, ODBC, or native connectors), and a security model that satisfies both IT and operations.
Phase 3
Build
Implement connectors and historian ETL, test against live or staging OT environments, validate data fidelity, and instrument for observability.
Phase 4
Enablement
Walk your team through the architecture, hand off monitoring dashboards, and document operational procedures so your team owns it from day one.
Right for You If…
- ✓You have operational data in historians or MES systems that isn't reaching your analytics stack
- ✓You've tried point-to-point integrations that break or drift over time
- ✓You need real-time or near-real-time visibility into production metrics
- ✓Your IT and OT teams struggle to collaborate on data access
What You'll Need to Bring
- ▸Network access or a defined path to OT systems (read-only is fine)
- ▸A named OT or controls owner who can answer questions during discovery
- ▸A target destination - cloud storage, data warehouse, or lakehouse
Ready to get started?
Tell us where you are and what you're trying to solve. We'll let you know if we're the right fit.
Schedule a Consultation