Digital & Data Analytics
The signal is in your data. We help you find it.
Bio-pharma facilities generate enormous volumes of maintenance, process, and asset data — but most of it sits unused. We combine reliability engineering with data and software expertise to turn that data into decisions your team can act on.
About our Digital & Data Analytics
Dashboards engineers actually open
We design dashboards alongside the people who use them — reliability engineers, maintenance planners, and operations leadership — so the views show the metrics that drive action, not vanity numbers.
- Reliability, downtime, and spend KPIs in one view
- Drill-down from facility to asset to work order
- Built on your existing CMMS and historian data
Predictive models grounded in engineering
We build machine-learning models on your assets and your failure modes — not generic templates. Every model is reviewed by reliability engineers, and every alert is mapped to an intervention.
- Models trained on your asset history
- Anomaly detection on live sensor data
- Alerts that map to a defined response procedure
What this service involves
Predictive Maintenance Models
Machine-learning models trained on your assets and failure modes.
Custom Dashboards
Reliability, downtime, and spend dashboards built around your workflows.
Data Integration
Connect CMMS, historians, MES, and quality systems into one model.
Reliability Analytics
MTBF, MTTR, Weibull, and bad-actor analytics, packaged and recurring.
Bespoke Software Development
Targeted apps built for specific facility challenges.
AI-Powered Diagnostics
Anomaly detection and triage on live asset and process data.
Related case studies
Outcomes from real digital & data analytics engagements.
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Read case studyWhat clients say
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Sitting on data that should be telling you more?
Pick one decision you'd like data to drive. We'll show you what's possible with what you already have.
Digital & Data Analytics — FAQs
Do we need to move data out of our systems?+
Usually not. We prefer to connect to your CMMS, historians, and MES in place, with a clear data contract and minimal duplication.
How do you handle data security and IP?+
Engagements run under NDA and your security model. We deploy inside your environment where required, and all analytics IP is owned by the client.
Can you work with a CMMS that has poor data quality?+
Yes — most do. We typically run a data cleansing and structuring phase first, often as part of an asset management engagement.
Is this just dashboards, or full software?+
Both. We deliver analytics, dashboards, predictive models, and full bespoke applications — scoped to the problem, not to a fixed product.