Connected quality data: QMS integration with MES, LIMS and ERP
Connected quality data means linking the QMS to the plant and lab systems around it (MES, LIMS, ERP and electronic batch records) so that quality events, batch data and lab results can be trended together. It turns a QMS that records everything into one that also shows patterns before they become recurrences.
The problem it solves
Most sites run a capable QMS next to MES, LIMS and ERP systems that never talk to it. Trends sit across batch records, lab results and complaints, and nobody sees the pattern until it becomes a repeat deviation.
What we connect
- MES and electronic batch records: process parameters, exceptions and yields
- LIMS: results, out-of-specification and out-of-trend events
- ERP: materials, lots, suppliers and genealogy
- QMS: deviations, CAPAs, change controls and complaints
What you can do once it is connected
- Detect sustained shifts and trends in batch and lab results before a limit is crossed
- Find repeat deviations by root cause across products, lines and sites
- Review batch records by exception instead of page by page
- Assemble annual product review (APR/PQR) data from the systems of record
How the interfaces are controlled
Each interface has a defined purpose, an owner and documented testing. Data keeps its source, timestamp and attribution as it moves, so a figure in a trend can be traced back to the record it came from. Changes to an interface go through change control.
Questions about connected quality data
Do we need a data lake or a new platform first?
Not necessarily. The assessment maps the data flows you already have and the questions you need answered. Often a small number of well-controlled interfaces between the QMS and the systems of record is enough to start.
Does integrating systems mean revalidating all of them?
No. Validation is scaled to the risk of each interface and its intended use. The systems of record keep their validated state; the interface and the use of its data are what get assessed, tested and documented.
What is signal detection in a quality context?
It is the use of control-chart rules and trending on batch and lab data to flag sustained shifts, trends and excursions early. The system explains why a point was flagged; QA decides what to do about it.
Related services
- QMS digitizationConfigured on the platform that fits your size and product type.
- AI-assisted investigationsThe AI drafts. Your investigators and QA decide.
- Validation of AI-enabled systemsRisk-based validation following GAMP 5 (Second Edition) and computer software assurance principles, documented for inspection.
- Agentic workflow automationOrchestrated agents that take on routine quality work across your systems: gathering, checking, drafting and chasing. Each one works inside defined guardrails and hands decisions to your people.