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Run eats build
The team spends its time firefighting, not improving.
Ongoing operation of your BI and ML estate, with SLAs and accountability — so analytics keeps running while your team focuses on decisions.
Building analytics is one thing; keeping it running is another. We operate your BI and ML estate as a managed service — monitoring, support, fixes and improvements under clear SLAs — so dashboards stay live, models stay accurate, and your people focus on using analytics rather than maintaining it.
Keeping analytics alive quietly consumes the team that should be advancing it.
The team spends its time firefighting, not improving.
When something breaks, there’s no defined response or owner.
Holidays and attrition leave the estate exposed.
Three capabilities of the managed service.
Dashboards, reports and pipelines kept healthy and current.
Models monitored, retrained and supported in production.
Defined response, ownership and continuous improvement.
Analytics that just keeps working.
Your estate operated under clear SLAs.
Proactive monitoring and responsive support.
Transparent reporting on health and SLAs.
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 handover to steady-state.
We map and take on your BI/ML estate.
Pipelines, reports and models are run and monitored.
Issues are handled to SLA.
Enhancements keep the estate moving forward.
Service health is reported transparently.
The estate stays healthy; your people focus on value.
The category, capabilities and expertise this connects to.
Common problems in this area, how KEPLER solves them, and the likely outcome.
Managed run & support
View details →Projects deliver a platform and disband. With no one owning the run, pipelines break, dashboards go stale, and trust erodes within months.
Analytics that keeps working long after go-live, run to an agreed standard instead of drifting.
Flexible expert capacity
View details →Running a modern analytics stack needs scarce, expensive skills, and hiring a full in-house team for a variable workload rarely makes sense.
The expertise to run analytics reliably, without carrying a full permanent team for a variable load.
SLA-backed reliability
View details →Failures fall between teams with no clear owner or response time, so a broken pipeline can sit unfixed for days while blame circulates.
Clear accountability and defined response, so failures get fixed fast instead of debated.
No use cases match this filter yet — but the problem is almost certainly one we can help with.
Ask us about your problem →Tell us what you’re struggling to keep running and we’ll operate it.
Talk to our AnalyticsOps team
