01
Demand that spikes
Reporting and modeling demand surges around launches, planning cycles and period close — then falls away.
For teams scaling analytics, covering a skills gap, or carrying recurring reporting they can’t keep up with: KEPLER embeds analysts, engineers and data scientists into your teams — and delivers the outcomes without the cost and lead time of hiring.
Building an in-house analytics team is slow and expensive, and demand rarely sits still — it spikes for a launch or close, then quietens. Hiring for the peak wastes money; hiring for the average means work stalls. Data Analytics as a Service gives you analytics capacity that flexes with the work in front of you.
DAaaS is the right fit when one or more of these sounds familiar.
Reporting and modeling demand surges around launches, planning cycles and period close — then falls away.
You need a data engineer, BI developer or data scientist now, not after a three-month recruitment cycle.
Dashboards, refreshes and routine analysis crowd out the higher-value work your team should be doing.
KEPLER provides embedded analysts, engineers and data scientists who work as an extension of your team.
You set the priorities; we run the data-to-decision stack — pipelines, dashboards, models and recurring delivery — on flexible terms, scaling up for peak demand and down when things are steady.
The same people stay across projects, so domain knowledge compounds instead of resetting.
A defined engagement with clear ownership and dependable output.
Named KEPLER analysts, engineers and data scientists matched to your stack and sector.
Data integration, quality checks and platform operations run and maintained on your behalf.
Scheduled dashboards, reports and refreshes delivered against agreed SLAs.
Forecasts and predictive models developed, monitored and retrained as data shifts.
Capacity you can scale up or down, with transparent terms and no long hiring lead time.
Documentation and enablement so your team can take work back in-house whenever you choose.
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.
A simple path from agreeing scope to analytics delivered as a managed service.
We agree the work, priorities, SLAs and the capacity profile that fits your demand.
Your embedded team connects to source systems and gets up to speed on your domain.
Recurring reporting, dashboards and models are delivered against agreed SLAs.
The same team flexes capacity up or down as your demand changes, month to month.
What improves once DAaaS is in place — faster delivery and flexible capacity, with a partner who already understands industrial operations.
The category, capabilities and expertise this connects to.
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 →Tell us where your team is stretched — we’ll propose a DAaaS model that fits how you work.
Discuss your use case
