For those of us in facilities operations or real estate, it comes as a surprise to learn that large office buildings generate more data than most finance teams create in a year. Building management system (BMS) telemetry data, space occupancy & utilization, maintenance history, and lease obligations—that’s just a small sample of the massive amounts of data that modern office buildings produce. The problem is that almost none of it reaches the systems where the biggest financial decisions actually get made.

This data accessibility gap creates a dangerous blind spot for the C-suite, because real estate is typically the second-largest operating expense for most organizations, trailing only payroll. With that data, organizations could gain important insights into how they could reduce costs across the portfolio and use space more efficiently, but it all typically lives in a BMS, a maintenance platform or a spreadsheet, completely disconnected from the general ledger and invisible to the people who set budgets and approve capital.

Furthermore, publicly traded companies are required to report all liabilities, including building leases, on its balance sheet for SEC and shareholder reporting. This creates pressure on operational leaders to ensure they are effectively and efficiently managing their real estate portfolios in order to increase profits and drive shareholder value. This requirement elevates the conversation from the boiler room to the boardroom. 

That’s not to say that building data doesn’t get integrated into other systems within the enterprise, but when that integration happens, the default strategy is to connect building maintenance and space data to HR and IT ticketing platforms. Certainly, there’s a good reason to do this. A new hire should generate a space assignment request just as a broken thermostat or a leaking pipe should generate a work order. It makes sense to manage them within the same ticketing platform as every other service request in the building but it lessens the strategic impact. 

But the HR/IT integration model limits the value an organization can see from building data. A ticketing integration, for instance, tells management whether a problem has been addressed, but it does not reveal what that asset costs the organization over its lifetime or how its performance compares across a portfolio. The HR integration tells management that an employee has been onboarded or offboarded but not how well a space is used or how much the square footage costs per person. These are financial questions, and people who ask financial questions rely on financial systems to answer them.

Enterprise Resource Planning (ERP) platforms govern financial data, because that’s where the general ledger resides. They act as a large enterprise’s financial operating system. BMS data, space utilization metrics, maintenance histories and lease terms all have direct financial consequences, but they’re only visible to financial decision makers if they can be traced back to a building, cost center, a capital account or a lease obligation on the books. Without those links, management ends up making material real estate decisions while essentially flying blind.

Filling this data gap requires reimagining building operations as an enterprise IT domain rather than a separate silo sitting off to the side of the business. Buildings do not operate in isolation from interest rates, inflation, energy markets, regulatory frameworks and fiscal planning cycles, so the systems that manage them should not operate in isolation from the ERP platform.

Once operational data and financial data share a common thread, management can finally understand their total operational spend and performance. Leaders can identify which buildings are consuming more than their share of the maintenance budget, which leases carry hidden operating costs, and where there are opportunities to increase space utilization. This model allows leaders to make informed real estate decisions based on the actual costs as opposed to guessing based on disparate metrics.  

That visibility also changes what artificial intelligence and predictive analytics can do. Algorithms trained only on siloed operational data can flag a piece of equipment likely to fail, which is useful. When AI gains access to asset histories, contract terms, and financial context, it moves beyond automation to become a strategic advisor. It can help leaders determine whether replacing equipment today delivers greater value than waiting until the next fiscal year, evaluate lease renewal alternatives, and provide data-driven guidance on whether to retain, replace, or dispose of assets altogether.

Integrating building data with the ERP does not require ripping out existing systems. Computerized maintenance management systems, integrated workplace management systems, energy management and lease administration and accounting tools each play an important role in building management, but the data they contain should not remain siloed. 

An open platform approach enables operational systems to exchange data with ERP and financial systems without forcing a wholesale replacement of either side, preserving flexibility while finally giving the C-suite a full picture of what real estate actually costs. Organizations that connect building data to their ERP can finally stop treating buildings as cost centers that show up on a dashboard. Instead, they can incorporate those assets into the enterprise’s broader strategic plan and gain a significant competitive advantage over competitors that keep building information siloed.

The post An Office Building Creates More Data Than the Finance Team, So Why Can’t Anyone Use It? appeared first on Propmodo.

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