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Fragmented systems
Critical data trapped in disconnected ERP, MES, lab and spreadsheet silos.
For teams whose data is scattered across systems and never quite trustworthy: we consolidate and integrate it into reliable, reporting-ready pipelines your analytics can depend on.
Insight is only as reliable as the data beneath it. When data lives in disconnected systems, arrives late, or cannot be trusted, every dashboard and model inherits the problem. Solid data engineering fixes it at the source.
These are the signs your foundation needs engineering attention.
Critical data trapped in disconnected ERP, MES, lab and spreadsheet silos.
Manual, brittle data flows that break, lag, or quietly produce wrong numbers.
Raw data that takes days of wrangling before anyone can report on it.
We build the pipelines and integration that turn scattered source data into a clean, reliable, analytics-ready layer: ETL/ELT, legacy and multi-format integration, real-time streaming, data cleaning, cataloguing, lineage and versioning.
The result is data your reporting and models can depend on, refreshed when you need it.
Robust connectors to your ERP, MES, lab, IoT and transactional systems.
Automated batch and streaming pipelines that land and transform data dependably.
Validation, de-duplication and quality rules that keep numbers trustworthy.
Modelled, analytics-ready datasets your BI and models consume directly.
Documented data with lineage and versioning, so people trust what they use.
Pipeline health monitoring so issues are caught before they reach a dashboard.
Bring a real decision or dataset — we’ll show you how KEPLER would approach it, with no obligation.
Book a 60-minute sessionWe start with a short diagnostic — the decision to improve, the data behind it, and a first slice that proves value fast. See how we engage →
From a quick diagnostic to a fully managed service — start small and scale as value is proven. How we engage →
The industries this work serves.
R&D, safety and commercial analytics.
Operational and patient-flow analytics.
Project controls, cost and schedule analytics.
Demand, pricing and customer analytics.
Quality, throughput and maintenance analytics.
From scattered sources to a dependable data layer.
We map your sources, flows and the reporting they need to feed.
Reliable connectors land data from every relevant system.
Pipelines clean, join and model raw data into an analytics-ready layer.
Quality rules, lineage and cataloguing make the data trustworthy.
Monitoring and alerting keep pipelines healthy in production.
Consolidated, reliable, reporting-ready data — so analytics stops fighting the plumbing.
Architecture, migration and lakehouse.
Governed dashboards and self-service.
Where you are and what to do next.
A real-time control tower across the chain.
Quality, throughput and maintenance.
Project controls, cost and schedule.
Common problems in this area, how KEPLER solves them, and the likely outcome.
No use cases yet — add one under Use Cases → Add New.
No use cases match this filter yet — but the problem is almost certainly one we can help with.
Ask us about your problem →Let us consolidate your sources into reliable, reporting-ready data.
Talk to our data team