Proactive support, monitoring, and strategic guidance for Power BI, Microsoft Fabric, and Azure data platforms. More than reactive fixes, a true partnership.
Flexible managed service tiers designed to match your organization's needs.
Foundation support for growing teams
Enhanced coverage for established organizations
Dedicated resources for critical operations
Managed analytics services sit between traditional consulting and an internal hire. You keep ownership of your data platform, and we take responsibility for the day-to-day work of keeping it healthy: monitoring refreshes, responding to incidents, applying updates, tuning capacities, and meeting regularly to talk through what's coming next.
The model is built for organizations that have a working Power BI, Microsoft Fabric, or Azure data estate and want a steady hand on it without staffing a full-time platform team. Instead of paying for one-off projects every time something breaks, you get continuous coverage from people who already know your environment, your gateways, your workspaces, and your stakeholders.
Every tier above covers the same core surface area. The difference is hours, response speed, and how much strategic input you want from us each month. We map the right tier to your platform size during the intake conversation.
What kills most analytics platforms isn't a bad stack. It's nobody having time to maintain it. Reports drift, refreshes go quiet, capacity sits over-provisioned, and the people who built the original solution have moved on.
Analytic support is the layer that prevents that decay. We monitor what's actually being used, surface what isn't, flag cost and performance issues before they become tickets, and keep the documentation current so your team isn't reverse-engineering decisions made eighteen months ago. It's unglamorous work, which is exactly why it matters.
Because we work across data platforms, engineering, and infrastructure, the same engagement gives you a direct line into roadmap shifts on the tools you depend on, preview features worth adopting, and the gotchas vendors haven't documented yet. If you'd rather buy time in flexible blocks than a managed retainer, our service contracts are the lighter-weight alternative.
Common questions about managed analytics, support scope, and how engagements work.
Project consulting is bounded: a scope, a deliverable, and an end date. Managed analytics is continuous: ongoing hours each month against monitoring, maintenance, optimization, and strategic guidance for an existing platform you already own.
Build something new, you want a project. Keep something running, you want managed services. Most clients eventually need both, and we structure engagements so the same team can shift between the two without rehashing context.
Refresh monitoring, gateway health, capacity sizing, dataset and report performance tuning, workspace governance, user access reviews, and incident response when refreshes fail or reports break. We also handle the unglamorous work: deprecation tracking, license rightsizing, and keeping documentation current.
If your platform also includes Microsoft Fabric, Azure Data Factory, Synapse, or Databricks pieces, those fall under the same engagement. We don't carve the data platform into separate contracts.
The Essential tier fits teams with a working data platform, a handful of capacities or workspaces, and one or two people who shouldn't be on-call after hours. Professional fits mid-market organizations with multiple business units publishing reports and a real cost-management concern. Enterprise is for regulated industries, 24/7 operational dependencies, or platforms where a stale dashboard has a measurable revenue impact.
We don't take engagements where the tier doesn't actually fit.
You're paying for retained capacity, not a punch card of hours. That's how managed services work across the industry. You get a team that knows your platform, watches it, and is ready to act when something needs attention. Some months are quiet, some are busy, and the monthly fee covers both.
If your usage consistently runs above the tier hours, that's a signal to move up a tier, not a billing dispute. We flag it proactively when we see the pattern forming.
Two to four weeks from agreement signature, depending on the tier. The first two weeks are onboarding: tenant access, monitoring instrumentation, runbook drafting, and stakeholder introductions. From there, the engagement runs on a monthly cadence with a recurring touchpoint and ad-hoc work logged as it comes in.
If you have an active incident, we can usually triage faster under a short-form scope. Reach out via the inquiry form and flag the urgency.
Our Service Contracts provide predictable monthly hours without full managed service commitment.
Let's discuss which tier aligns with your organization's needs and goals.