Managed Analytics
Building a platform is a project; keeping it aligned with the business is a job. Managed Analytics takes that job on: we run the infrastructure, the ETL and BI platforms and all the BI content as a single accountable service, on a predictable monthly subscription.
It is not just support. A shared backlog, regular enhancement releases and a standing engagement rhythm keep the platform in step with changing requirements — so business teams focus on using insight rather than maintaining the plumbing, and there is no large in-house platform team to build, staff or retain.
Offerings
Infrastructure & security
Environments, capacity, patching, access and backups — on cloud or on-premise.
ETL & pipeline operations
Scheduled loads run, monitored and recovered; data quality exceptions triaged and fixed.
BI platform administration
Platform health, upgrades, licences and performance for BusinessObjects, Power BI, SAC and others.
BI content & enhancements
Dashboards and reports maintained and extended through regular releases against a shared backlog.
Service desk & SLAs
A single point of contact, agreed response times and transparent reporting on service performance.
Engagement rhythm
Regular reviews that keep the platform aligned with evolving business requirements.
Where AI runs the platform with us
A managed platform is judged on what it catches before the business notices. AI is how a small, senior team watches everything, all the time.
- 01
AIOps on the loads
Every job, volume and duration is baselined; anomalies — a feed that arrived half-empty, a load that took twice as long — raise a ticket with the likely cause before the 8 a.m. report is wrong.
- 02
Continuous data-quality checks
Distribution, freshness and referential checks generated from the data and run on every load, with drift explained rather than just flagged.
- 03
LLM-assisted support
First-line questions — “why is this number different from last month?” — answered from lineage, release notes and the semantic layer, with the engineer stepping in for the rest.
- 04
Living documentation
Runbooks, data dictionaries and release notes kept current by AI from the actual code and changes, reviewed at each release — so hand-over is always possible.
Our approach
- 1
Take over
Assess and document the current stack; transition run responsibility with clear ownership per layer.
- 2
Stabilise
Monitoring, recovery and quality controls in place; a baseline of platform health agreed.
- 3
Run & release
Operate to SLAs while delivering enhancements through regular releases against a shared backlog.
- 4
Align
Standing reviews with the business keep priorities current and the platform relevant.
Outcomes
What changes
- Predictable cost and a single accountable partner for the whole platform.
- Business teams focus on using insight rather than maintaining the plumbing.
- A platform that keeps pace with the business as needs change.
- No large in-house platform team to build, staff or retain.
Questions we're asked about managed analytics
The complete platform: infrastructure, ETL and pipelines, the BI platform itself and all BI content — plus enhancements through regular releases and a standing engagement rhythm with the business.
As a monthly subscription sized to the platform and the enhancement capacity you want, so cost and capacity are known in advance rather than arriving as ad-hoc projects and change requests.
Yes. Transition starts with an assessment and documentation of the current stack, then run responsibility moves layer by layer with clear ownership.
The run-books, monitoring and documentation are yours, and we train your team as part of any exit. Independence is always an option.