Most organizations do not have a data shortage. They have a data alignment problem.
Facility teams track space, assets, maintenance, and occupancy. IT teams manage identities, access, infrastructure, and security logs. Each group is generating valuable data, but it is often disconnected, inconsistent, and difficult to reconcile.
What looks like a reporting issue is usually a governance issue underneath. When definitions vary, ownership is unclear, and systems are not aligned; the result is confusion instead of clarity.
Industry data reinforces the scale of the issue. According to Gartner, poor data quality costs organizations an average of $12.9 million per year. At the same time, research from IBM shows that organizations spend up to 80% of their time preparing and cleaning data, rather than using it for insights. In workplace and facilities contexts, that often translates into delayed decisions, underutilized space, and duplicated effort across teams.
As organizations expand hybrid work and increase their reliance on connected systems, the need for structured, shared governance becomes harder to ignore.
Key takeaways
- Data fragmentation between facilities and IT systems is a common issue that leads to inconsistent reporting and slower decision-making
- Poor data quality carries real costs, with organizations losing millions annually and spending significant time on data cleanup instead of analysis
- Hybrid work increases the need for unified data, as multiple signals must be combined to understand true space usage
- Governance should start with clear ownership, not technology, to ensure accountability and consistency
- Embedding governance into workflows makes it sustainable and reduces manual effort
- Aligning governance with security and compliance helps reduce risk and supports regulatory requirements
Where governance gaps begin to show
Breakdowns rarely happen at once. They build gradually as teams adopt tools and processes that solve immediate needs without aligning a broader data strategy.
Facilities and IT may each be operating efficiently within their own systems, but misalignment starts to surface in subtle ways:
- Space and occupancy data may be updated in a facilities platform, but access control systems still reflect outdated configurations. This can lead to conflicting reports, where one system shows availability while another shows active usage
- Asset inventories in IT systems may not match facilities records. This creates gaps in lifecycle planning and can increase the risk of lost or underutilized assets
- Occupancy metrics may vary depending on the source. JLL research has shown that actual office utilization often falls below 50% of capacity in hybrid environments, yet internal reports frequently overestimate usage due to inconsistent measurement methods
- Naming conventions and data structures may differ across systems. This forces teams to manually reconcile reports, increasing the risk of error and slowing down analysis
Over time, these inconsistencies erode trust. Teams begin to question the data instead of using it. Leadership receives multiple versions of the truth, and decision-making slows down as a result.
Why hybrid work raises the stakes
Hybrid work has made data alignment more important and more complex.
Organizations now need a clear view of how space is used across different days, teams, and locations. That requires combining multiple data sources that were not originally designed to work together.
- Badge data shows when people enter a building, but not how they use space once inside
- Wi-Fi and network activity provide signals of presence, but not intent or purpose
- Booking systems reflect planned usage, which may not match actual behavior
- Sensors capture real-time occupancy, but can lack context without other inputs
Workplace research continues to highlight the variability of hybrid patterns. Many organizations see midweek peaks that are 2–3x higher than Monday or Friday occupancy, which makes it even more important to rely on accurate, unified data when making space and staffing decisions.
Without governance, these data sources compete instead of complementing each other. Facilities may report low utilization based on bookings, while IT sees strong activity through network data. Both perspectives are valid, but without alignment, they lead to conflicting conclusions.
Governance provides the structure needed to bring these signals together. It defines how data is collected, validated, and interpreted so that teams are working from a consistent and reliable view.
Start with ownership before technology
A common mistake is trying to fix governance challenges by adding more technology. Tools can support governance, but they cannot define it.
The foundation of governance is ownership.
Organizations need clear answers to questions such as:
- Who is responsible for maintaining accurate space data, and how often is it reviewed or updated
- Who owns asset records, and how are discrepancies between systems resolved
- Who defines access permissions, and how are those permissions enforced across both physical and digital environments
- How are data retention policies applied across facilities and IT systems, especially when compliance requirements are involved
Without clear ownership, governance becomes inconsistent. Tasks fall through the cracks, and accountability is difficult to enforce. With ownership in place, governance becomes a shared responsibility with defined roles and expectations.
Standardize data before connecting systems
Integration is often seen as the goal, but it only creates value when the underlying data is consistent.
Before connecting systems, organizations need to align on definitions and structures.
- A shared definition of occupancy ensures that all systems are measuring the same concept. For example, defining whether occupancy is based on presence, booking, or sensor detection can significantly change reported utilization rates
- Consistent naming conventions for spaces, buildings, and assets make it possible to link data across platforms without manual intervention
- Standardized data fields and formats reduce the risk of errors when data is transferred or combined
Without this step, integration can amplify existing issues. Conflicting data is simply combined at a larger scale, making it harder to identify and resolve inconsistencies.
When standardization comes first, integration becomes a way to strengthen alignment rather than spread confusion.
Embed governance into everyday workflows
Governance cannot live only in documentation or policies. It needs to be part of how work gets done on a daily basis.
That means designing workflows that reinforce data quality at every step.
- When a space is reconfigured, updates should automatically flow to booking systems, access controls, and reporting tools. This reduces delays and ensures that all systems reflect the same reality
- When new assets are added or retired, changes should be reflected across both facilities and IT systems. According to Deloitte, organizations with integrated asset data can reduce maintenance costs by up to 10–20% through better visibility and planning
- Data validation rules should be applied at the point of entry, helping prevent errors before they spread across systems
- Ongoing monitoring should flag discrepancies early, allowing teams to address issues before they impact reporting or decision-making
When governance is operationalized in this way, it becomes part of the process rather than an additional task. Teams are supported in maintaining data quality instead of being expected to enforce it manually.
Align governance with security and compliance
For IT teams, governance is closely tied to risk management.
Facility data often intersects with sensitive information, including employee movement, visitor access, and building security. When this data is not governed consistently, it creates gaps that can impact compliance and increase exposure.
| Governance Area | Unified Governance Benefit |
|---|---|
| Access Controls | Permissions are aligned across systems, ensuring consistency between physical and digital environments. |
| Audit Trails | Both physical and digital activities are captured, supporting investigations and regulatory reporting. |
| Data Retention | Retention policies are applied consistently, reducing the risk of keeping data too long or deleting it prematurely. |
| Security Standards | Security standards are extended to facilities systems, recognizing them as part of the broader, connected threat surface. |
According to IBM’s Cost of a Data Breach Report, the average cost of a breach reached $4.45 million globally, underscoring the importance of consistent governance across all systems that handle sensitive data.
Build a shared data model across facilities and IT
Effective governance does more than align systems. It creates a shared understanding of how data connects across the organization.
Facilities and IT often view the same environment differently. Governance bridges that gap by establishing a unified model.
- Physical spaces are linked to digital identities, making it possible to understand who is using which areas and when
- Assets are connected to both location and ownership, providing clarity for maintenance, lifecycle planning, and cost allocation
- Occupancy data from multiple sources is combined into a single, trusted metric that reflects actual usage
This shared model allows teams to move beyond isolated insights. Leadership can ask broader questions about utilization, cost efficiency, and employee experience, and receive answers that are consistent across functions.
Turning governance into a strategic capability
When governance is established, the impact is felt across the organization.
Teams spend less time reconciling data and more time using it. Reports become more reliable, which builds confidence in decision-making. Cross-functional collaboration improves because everyone is working from the same foundation.
Organizations that invest in data governance are not just improving reporting. They are building the foundation for better planning, stronger compliance, and more responsive workplace strategies.
By Amanda Meade
Amanda Meade is a content creator at Eptura, specializing in workplace experience, meeting productivity, and emerging trends in workspace planning and visitor management. With a background in content marketing and SEO, she crafts clear, actionable content that helps teams work smarter through in-office collaboration. Throughout her career, Amanda has worked across industries, including home services, healthcare, real estate, and SaaS, developing a unique ability to distill complex topics into practical insights.
