Why Controlling in Facility Management Without Data Architecture is Just Colorful Poetry

Congratulations. You are holding another paper in your hands that promises to miraculously reduce your operating costs with some "controlling" in Facility Management. As someone who has been clearing the rubble of failed digitization projects and the ruins of beautiful PowerPoint promises for over twenty years, I tell you: If your controlling consists of comparing an Excel sheet from finance with the janitor's list at the end of the month, you are not doing controlling. You are practicing damage control by random chance.

Anyone who understands FM controlling as merely pretty cost monitoring has not understood the game. Here is the unvarnished truth about how to build a real control instrument from operational data, CAFM systems, and ERP worlds – without suffocating in your own bureaucracy first.

1. What Does Controlling in FM Mean? (Let's Not Talk About Accounting)

Let's start with the first misconception: FM controlling is not classic financial controlling. Financial controlling looks backward, counts the peas, and is happy when the budget is correct on paper. FM controlling, on the other hand, looks at the lifecycle of your property, evaluates the Total Cost of Ownership (TCO), and tries to prevent your building technology from falling apart in five years.

Anyone who thinks they can hang an ISO 55000 certification on the wall while no one knows how much the square meter of heating actually costs in Plant B compared to Plant A is building on sand.

• The focus is on the lifecycle: A building costs money when you build it – but it becomes really expensive in the 30 years after that.

• The tragic belief: "We have reports!" A report without consistent master data is not a control instrument, but waste paper in the making.

• The reality: If data is trapped in separate silos – in the CMMS, in spreadsheets on drive Z, or in isolated energy modules – you are steering blind.

From consulting practice: A large administration with 25,000 square meters was surprised by exploding maintenance costs. Only when CAFM operating data was linked with financial data did it become clear: they had been repairing a HVAC system for years that had long since exceeded its economic lifespan. A targeted modernization sustainably reduced costs. They could have known this five years earlier – if someone had connected the data.

The conclusion: Don't start by dreaming of the ideal overall system. Start with a minimally viable data foundation and build governance in parallel.

2. Core Tasks: From Bean Counting to the Control Center

Controlling in FM is not an appendage of accounting, but the operational control center for management. If you take this topic seriously, your tasks will extend across five core areas:

1. Budgeting & Cost Control: The unglamorous but necessary separation of Opex (ongoing) and Capex (investments) with a ruthless comparison of planned vs. actual.

2. Forecasting & Lifecycle Planning: Rolling forecasts instead of setting a static budget once a year that is already obsolete by February.

3. Maintenance & Repair Control: Checking contract fulfillment, measuring SLAs, and not just counting disruptions but analyzing them.

4. Procurement & Contract Controlling: What do service providers really deliver for every euro paid?

5. Space & Capacity Planning: Who sits where, why actually, and how much unused space are you paying for every month?

A prime example: A municipal administration with six building sections switched from the annual budget bingo round to a rolling 12-month forecast. The result after nine months? The budget deviation dropped from a proud 12% to a manageable 5%, and suddenly there was money for the long-overdue roof renovation.

The flawed thinking: Don't believe you can compensate for dirty data with extremely complicated mathematical formulas. Garbage in, garbage out – this applies to Excel as much as to the most expensive AI solution.

3. KPIs & Reporting: Less is Dramatically More

The reflex of many managers tasked with designing a dashboard is fascinating: they want to measure everything. The result is a colorful collection of 85 charts that no one reads anymore.

An intelligent KPI system is structured in two stages:

• Leading KPIs for management level (maximum 3-5): Total Cost of Ownership (TCO), operating costs per square meter, energy intensity per area.

• Operational KPIs for the specialist level: Maintenance level (planned vs. actual), response time for disruptions, service provider SLA compliance.

If you build a dashboard that shows more than ten key figures on the first page, you haven't built a dashboard, you've built a 'Where's Waldo?' picture.

4. Software Architecture: CAFM, EAM & ERP – Whoever Fails Here Pays Double

Let's talk about the core: the software landscape. When a client proudly tells me they have 'everything in one system,' I usually ask for their therapist's contact information. There is no single all-in-one solution.

A functioning setup requires a clear division of labor:

• CAFM (e.g., Planon, Archibus): Provides operational data such as asset registers, areas, maintenance intervals, and contracts.

• EAM (e.g., IBM Maximo, Infor EAM): Deepens asset lifecycle management for highly complex sites.

• ERP (e.g., SAP): Maintains financial control, cost centers, and the global budget.

If your asset IDs in CAFM are named differently than the assets in SAP, you don't have a software problem. You have a leadership problem. Master data ownership is one of those tasks that you don't delegate to interns.

5. Implementation: The 12-Month Plan Against Usual Project Chaos

Forget two-year mega-projects. Those who don't deliver presentable results after six months lose the organization.

• Phase 1: Foundational (Months 1-4): Inventory, clean up master data, establish ownership. Who is the data owner for the locations? Who for the contracts? If this isn't clarified, don't type a single line of code.

• Phase 2: Integration Phase (Months 5-8): Set up APIs between CAFM and ERP. Build standardized reports. Formally celebrate the go-live of the first pilot KPI dashboard for selected objects.

• Phase 3: Optimization (Months 9-12): Predictive planning, automatic deviation analyses, and the integration of IoT sensors for real energy checks.

The golden trade-off: Speed beats perfection, but data quality beats speed. It's better to start with three buildings and clean master data than with 50 properties in data chaos.

Conclusion for Boards and Decision-Makers

FM controlling is not a software product that you buy, install, and then forget. It's an attitude. Those who focus on clean master data, clear interface governance, and reduced KPI catalogs turn dusty maintenance costs into a real control instrument. Everything else is well-intentioned – and as is well known, that's the opposite of well done.