Short answer: A maintenance or CMMS SaaS can offer customer-facing reporting on work orders, inventory, labour hours and costs by embedding white-label Power BI through a partnership where development is free — first reports live within a week, and you pay a simple monthly minimum once you're live.
Maintenance platforms sit on rich operational data, but turning it into reporting your customers trust usually means hiring a BI team. There is a faster path. This mirrors the real Aneo Software case — a maintenance SaaS whose customers include Valmet Automotive, Arla, Kiilto, Vahterus and Vattenfall.
What maintenance customers actually want to see
CMMS data answers questions every reliability and operations manager asks. Productized reporting turns those questions into dashboards that ship with your product instead of one-off CSV exports your support team builds by hand.
- Work orders — open vs. closed, backlog age, planned vs. reactive ratio, mean time to repair
- Inventory and spare parts — stock levels, consumption trends, reorder points, slow-moving items
- Labour hours — technician utilization, hours per asset, overtime, contractor vs. in-house split
- Costs — maintenance cost per asset, per site, per cost centre, budget vs. actual
- KPIs — MTBF, MTTR, asset availability, preventive maintenance compliance
Why building it yourself rarely pays off
Building a multi-tenant analytics layer in-house is a real engineering project. Industry estimates put the upfront cost of a custom embedded analytics build at €30k–€320k, plus the ongoing salary of people who maintain it. For most maintenance SaaS teams, that capacity is better spent on the core product.
The hardest part is not the charts — it is isolating each tenant's data safely. One customer must never see another's work orders or costs. That is solved here with row-level security and short-lived embed tokens, so every report request is scoped to exactly one customer. For the full trade-off, see build vs. buy: the real cost.
Two ways to deliver it
| Aspect | BI4SaaS Portal | BI4SaaS Embedded |
|---|---|---|
| How the customer sees the report | Ready-made reporting portal — the end customer gets a link | Embedded inside your product |
| End customer Power BI licence | Not needed | Not needed |
| Branding | White-label portal | White-label, your URL and brand |
| Your revenue | Fixed fee per report per customer — you set the resale price and keep the margin | Fixed fee per report per customer — you set the resale price and keep the margin |
| Best fit | Customers you want reporting live for fast, without touching your product | Productized, self-service reporting built into your own product experience |
Most maintenance platforms lean towards BI4SaaS Embedded, because it ships reporting to every customer without anyone needing a Power BI licence and keeps it inside your own product experience. The detailed comparison is in Portal vs. Embedded.
The economics for a maintenance SaaS
Development is free — onboarding, dynamic customizations and ongoing development are all included — and you pay a simple monthly minimum once you're live. Pricing is one fixed price per report per end customer; you set your own resale price and keep the full margin, with no commission and no revenue share. The underlying capacity is Microsoft Fabric F2, roughly €250/month pay-as-you-go, which comfortably serves many tenants on one shared report model. You add a new revenue line without adding headcount.
If you are choosing tooling, the Power BI vs. Metabase vs. Looker Studio comparison explains why Power BI Embedded fits productized B2B reporting at this scale.
What the Aneo case shows
Aneo Software, a maintenance SaaS, added productized embedded reporting through exactly this partnership. Tens of their customers now use the analytics actively. For Aneo, reporting became both a new revenue stream and a competitive differentiator — without building or staffing a BI team internally.
Get started
If you run a maintenance or CMMS SaaS, your operational data is already the hard part — the reporting layer does not have to be. Read the full Aneo case study, then book a free 30-minute pilot conversation. We will map your data, pick the right model and have first reports live within a week. Start the partnership here.
New to the topic? Start with our guide: What is embedded analytics?