Single Source of Truth: why most organizations confuse data with reports
Data?! Of course we have data! We have plenty of data, here you go... The problem is that each function uses a different version of this data - finance has ERP, production has its own MES, and maintenance has CMMS/EAM, and on top of that, these systems don’t "talk" to each other.
Single Source of Truth doesn’t mean gathering more information, but rather establishing which of it is true.
Without this, CMMS, KPIs, and analytics become a source of conflict rather than decision-making.
Why is this topic a real problem?
In most organizations, device data is formally available. CMMS contains work history, production has downtime records, and finance tracks costs. The problem arises when a decision needs to be made.
In practice, typical discrepancies arise:
- the maintenance cost of the same machine differs between maintenance and finance;
- downtime in CMMS does not match production reports from MES (and it’s unclear why);
- the spare parts list (BOM) does not match the actual configuration of the machine.
This is not a technical issue, but a decision-making one. Instead of making decisions, the organization tries to determine which data is reliable.
A typical problem in this category is understanding Asset Criticality within the organization - in larger organizations, everyone views asset criticality from their own perspective. Only conducting a Criticality Analysis with a unified approach ensures everyone speaks the same language based on clear criteria.
Where does the error occur?
Many organizations assume that a Single Source of Truth will emerge from the system. This is a mistaken assumption.
SSOT starts with agreeing on the basics:
- What does failure mean in technical and business terms?
- How is downtime calculated?
- Which system is the MasterData?
- Which costs are assigned to a specific device, and which remain at the Cost Center level?
- What structure of technical assets is applicable?
Without these decisions, every system merely reinforces inconsistencies. A particularly critical point is people - implementing a system involves training on form handling, but does not explain why the data is there and what the expected quality criteria are.
The minimum SSOT model in practice
From the perspective of maintenance and EAM, Single Source of Truth is based on four elements.
- Common definitions
The organization must operate in one language. This means that concepts such as failure, planned work, or downtime costs are understood the same way by maintenance, production, and finance.
- Consistent structure of technical assets
The hierarchy of devices, locations, BOM links, and attributes must be consistent. This element enables data comparison between lines, areas, and facilities.
- Operational layer (CMMS/EAM)
Data is generated within the system. It arises in specific processes. It is entered by qualified personnel. If the structure and operation in CMMS are inconsistent, reports will also be inconsistent regardless of the analytical tools.
- Data governance
SSOT requires data owners, rules for data entry, and regular quality reviews. Without this, even well-prepared data quickly loses consistency.
Why CMMS often worsens the situation
In many organizations, implementing CMMS does not solve the data problem, but rather reveals it.
The system starts to show:
- inconsistent naming/hierarchy of machines and devices,
- missing or incorrect links of spare parts in BOM,
- ambiguous classification of work and failures.
Without a coherent concept at the company level, CMMS becomes a tool that displays chaos in real-time instead of organizing it.
Business consequences
The lack of consistent data on technical assets directly affects the organization's performance. The most commonly observed effects are:
- delayed investment decisions,
- ineffective preventive planning,
- excess or missing spare parts,
- conflicts between departments.
In practice, this means higher costs and lower machine availability, despite investments in systems and tools.
Summary
Single Source of Truth is not a data project or an IT project. In fact, it is not even a project. It is more of a decision that projects around asset management create a common data ecosystem for decision-making, rather than for mere existence.
Organizations that can agree on definitions, organize the structure of technical assets, and implement data management principles start making decisions faster.
This is the difference between reporting and real asset management.
If data about machines and equipment in your organization is a topic of discussion rather than the basis for decision-making, the issue is not reporting, but the lack of a Single Source of Truth.
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