Ownership gets unclear
Users know the report matters, but nobody is fully responsible for model logic, refresh, access or change control.
Managed BI Services
We provide structured support, governance and continuous improvement for Power BI, Microsoft Fabric, Azure, SQL and workflow solutions.
After go-live
Useful BI needs ownership, governance, release discipline and continuous improvement. Otherwise business-critical reporting slowly becomes fragile again.
Users know the report matters, but nobody is fully responsible for model logic, refresh, access or change control.
The same refresh, performance or data-quality issues return because root causes are not owned and closed.
Urgent business requests become one-off fixes, duplicated measures or undocumented report changes.
Small improvements accumulate until adoption, trust and decision speed start to suffer.
Service model
Managed BI Services are scoped around criticality, ownership, governance and improvement routines. Specialist capacity can help, but the service is not staff augmentation by another name.
What we operate
Scope is agreed after review. The goal is to keep reporting, models, data flows and operational workflows reliable enough for business use.
Refresh, access, report changes, semantic model maintenance, performance and adoption improvements.
Support for Fabric-oriented workloads where capacity, ownership and operating model are clearly scoped.
Operational support around reporting stores, query performance, dependencies and data availability.
Monitoring, failure handling and improvement for critical integration paths feeding BI or workflow surfaces.
Controlled support for writeback, approvals and operational applications connected to reporting processes.
Support or transition planning where documentation, access and technology fit make responsible operation possible.
Business outcomes
The managed-service model is built to reduce key-person dependency, improve transparency and keep business-critical analytics moving after delivery.
Critical refresh, access and quality issues become visible and handled through a consistent support path.
Ownership, priority and communication are clearer when something breaks or a critical change is needed.
Knowledge, logic and routines become less dependent on one internal specialist or an informal handover.
Enhancements, root-cause fixes and adoption needs are prioritised deliberately instead of living in inboxes.
Models, capacity and workloads can be reviewed against actual usage and business criticality.
New BI, Fabric, Azure or workflow solutions can move from project delivery into stable operation.
Related solutions
A Service Review helps decide whether the next step is stabilization, ongoing operation, platform optimization or a targeted improvement backlog.
Related client stories
These stories are not SLA claims; they show the kind of BI, platform and workflow context where structured operations become valuable.
Governed reporting and operating routines supported business-critical finance work.
Read client story Reporting modernizationSQL Server, Power BI and business dictionaries aligned for longer-term reliability.
Read client story Project intelligenceProject data, workflows and reporting were structured for ongoing tracking.
Read client storyRelated insights
Practical resources for teams that want reporting, platform and AI work to remain reliable after launch.
Why ownership and definitions matter after dashboards are live.
Read resource Operating ModelWhy monitoring, ownership and release routines matter after architecture diagrams are approved.
Read resource Fabric readinessHow to think about capacity, governance and operation before scaling Fabric workloads.
Read resourceManaged BI FAQ
It is structured operational support and continuous improvement for BI, data platform and workflow solutions after implementation.
No. The focus is business-critical BI ownership, governance, incidents, requests, performance, backlog and improvement routines.
Often yes, after a Service Review confirms scope, access, documentation, risk and technology fit.
Service levels can be agreed as part of a managed-service scope, but we do not publish generic response-time commitments without understanding the estate and criticality.
Yes. We support Microsoft-oriented BI estates including Power BI, semantic models, Fabric workloads and related Azure or SQL dependencies where the scope is clear.
Yes. Managed BI can include a continuous improvement backlog for enhancements, optimization, adoption and root-cause fixes.
Start with a Service Review to map the current landscape, criticality, support boundaries, backlog, stakeholders and operational risks.
Yes. The service is designed to reinforce internal capability, clarify responsibilities and keep knowledge visible.
Managed BI Services
A Service Review helps clarify criticality, ownership, support gaps, backlog and the right operating model before agreeing a managed-service scope.