Power BI for facilities management: work orders, SLAs, and cost across the portfolio
How facilities management companies use Power BI to bring work order, asset, and cost data into one governed view, so service performance against SLAs, asset cost, and portfolio spend are visible across every site.
Key takeaways
- A facilities management company runs on work orders, SLA performance, and cost across many sites and assets, and the data sits in CMMS, asset, and financial systems.
- A governed model joins them so service performance and cost can be read by site, client, asset, and over time, not site by site.
- SLA performance is what clients judge the company on, and seeing it across the portfolio is what keeps it from slipping unnoticed.
- Asset cost over time shows which assets are worth maintaining and which are worth replacing, which is hidden in scattered work orders.
- The goal is a company managing service and cost across the portfolio on clear data, and reporting to clients on the same trusted numbers.
A facilities management company keeps other organizations' buildings and assets running, across many sites, and is judged on whether it does so within the service levels it promised and at a cost that makes sense. Seeing that clearly is hard, because work order, asset, and cost data live in separate systems and across a whole portfolio of sites, and the company tends to see each site in its CMMS rather than the portfolio as a whole. Power BI's role is to join those systems into one governed view, so SLA performance, asset cost, and portfolio spend are visible across every site, and client reporting becomes a reliable output. This is how facilities management companies use it.
The portfolio is read site by site
Ask a facilities management company a question that should span the portfolio, are we meeting our SLAs across all sites, which assets are costing us the most, and what are we spending overall, and the answer takes someone working through the CMMS site by site, pulling cost from finance, and assembling it by hand. The work-order system holds the jobs and their timing, the asset register holds the equipment, finance holds the spend, and none of it joins into a portfolio view. The company sees each site in isolation, and the picture across sites, clients, and assets is reconstructed manually and late.
The first and most valuable thing Power BI does is build a governed model that joins these systems, so work orders, SLA performance, asset cost, and spend can be read together by site, client, asset, and over time. Power BI reads from the CMMS, asset registers, and financial systems across the portfolio, and the model relates them into one coherent picture. Once that model exists, the portfolio-wide questions that took manual assembly become reports the company opens. That join is the foundation, because the company runs a portfolio, not a single site, and no single site's CMMS view shows the whole.
SLA performance across the portfolio
SLA performance is what clients judge the company on, and the governed view is what keeps it from slipping unnoticed. Clients contract for work done within agreed service levels, and whether the company meets them, response times, completion times, the commitments in each contract, is the core measure of its service. Tracked site by site in the CMMS, the portfolio pattern and the early warning signs are hard to see, so a developing problem can stay invisible until a client raises it.
A governed model that measures work orders against their SLAs across every site surfaces where performance is slipping while it is still fixable. The company can see which sites, clients, or work types are trending toward misses, how it is performing overall, and where to direct attention, so it acts before a miss becomes a client problem. This matters because in facilities management the relationship with a client rests on reliable service, and a pattern of SLA misses discovered late is both a service failure and a relationship risk. Seeing SLA performance whole and in time is what lets the company stay ahead of it, managing to its commitments across the portfolio rather than finding out from an unhappy client that it fell behind at a particular site.
Asset cost: maintain or replace
Beyond service, the governed view answers a question that is hard to see in scattered work orders: which assets are worth maintaining, and which are worth replacing. The cost of maintaining an asset accumulates across many individual work orders, and when those are never totaled per asset, the company cannot see which assets are quietly consuming maintenance spend or heading toward the point where replacement would cost less than continued repair.
A governed model that joins work orders to the asset register accumulates cost per asset over time, revealing the full maintenance cost of each asset. With that visible, the company can see the assets eating disproportionate spend, the ones approaching end of life, and where replacing an asset would cost less than continuing to maintain it. This turns asset management from reacting to failures into a cost-informed decision, which saves money and gives the company and its clients a clearer basis for capital planning. For a business responsible for keeping assets running economically, seeing the true cost of each asset over time is what lets it advise clients on maintain-versus-replace with evidence rather than instinct, which is both better service and better economics.
Client reporting as a reliable output
A clear win is client reporting. A facilities management company reports to its clients on service performance and spend, and assembling those reports by hand from the CMMS and finance each period is slow and inconsistent. Because the governed model already holds the data, it can produce consistent, current client reporting as a repeatable output: each client seeing their own sites, SLA performance, and costs, from the same trusted numbers the company manages by.
Row-level security ensures each client sees only their own sites, from shared governed reports. This turns client reporting from a manual assembly into a reliable output of the same model, which saves time and gives clients clearer, more credible visibility into the service they are paying for. The company reports on the same numbers it manages by, so there is no gap between what it sees internally and what it shows the client, which is both more efficient and more trustworthy. For a business whose client relationships rest on demonstrable service, making that reporting a dependable, consistent output rather than a periodic scramble strengthens both the relationship and the company's own grip on its performance.
What facilities management companies end up with
A facilities management company running on Power BI ends up with:
- CMMS, asset, and financial data joined so service and cost can be read across the whole portfolio.
- SLA performance visible across every site, so slipping service surfaces before clients see it.
- Asset cost accumulated over time, so maintain-versus-replace becomes a cost-informed decision.
- Client reporting as a reliable output of the model, with each client seeing only their own sites.
The throughline is that a facilities management company stops reading its portfolio site by site in the CMMS and assembling client reports by hand, and starts managing service and cost across the whole portfolio on one governed view. SLA performance stays visible before it becomes a client problem, asset cost informs maintain-versus-replace decisions, and client reporting becomes dependable. For a business that runs a portfolio of sites and assets and is judged on service and cost, seeing both clearly across every site is what turns the scattered work-order, asset, and financial data into the decisions that keep service reliable, cost controlled, and clients confident in what they are paying for.
Frequently asked questions
Can Power BI connect our CMMS and financial systems?
Yes. A facilities management company runs a CMMS or work-order system, asset registers, and financial systems, often across many sites and clients, with spreadsheets in between. Power BI reads from these and a governed model joins them so work orders, SLA performance, asset cost, and spend can be read together by site, client, asset, and over time. That join is the valuable part, because the questions that matter, are we meeting SLAs, which assets cost the most, what are we spending across the portfolio, span these systems and sites, and no single one answers them. Joining them into one governed view gives the company a clear picture across the whole portfolio rather than site by site.
How does Power BI help with SLA performance?
By making SLA performance visible across the whole portfolio and over time, so the company sees where it is meeting or missing commitments before a client does. Facilities clients judge the company on whether work is done within the agreed service levels, and tracking that site by site in a CMMS makes the portfolio pattern and the early warning signs hard to see. A governed model that measures work orders against their SLAs across every site surfaces where performance is slipping, which sites or work types are at risk, and how the company is doing overall, so it can act before a miss becomes a client problem. Seeing SLA performance whole is what keeps it from slipping unnoticed.
How does Power BI help with asset cost?
By showing what each asset costs to maintain over time, so the company can tell which assets are worth maintaining and which are worth replacing. That decision is hard to make when the cost of maintaining an asset is scattered across many individual work orders and never totaled. A governed model that joins work orders to the asset register accumulates the cost per asset over time, revealing the assets quietly consuming maintenance spend, the ones heading toward end of life, and where replacement would cost less than continued repair. That turns asset management from reacting to failures into a cost-informed decision, which both saves money and gives the company and its clients a clearer basis for capital planning.
Can Power BI help with client reporting?
Yes, and it is a clear win. A facilities management company reports to its clients on service performance and spend, and assembling those reports by hand from the CMMS and finance each period is slow and inconsistent. Because the governed model already holds the data, it can produce consistent, current client reporting as a repeatable output, each client seeing their own sites, SLA performance, and costs from the same trusted numbers the company manages by. Row-level security ensures each client sees only their own. That turns client reporting from a manual assembly into a reliable output of the same model, which saves time and gives clients clearer, more credible visibility into the service they are paying for.