An illustrative diagnostic of data governance failure in route cost allocation. When telematics, fuel cards, and depot logs produce different figures and none is designated authoritative, trust erodes. The fix was governance, not technology.
This is an illustrative example scenario, based on common challenges we see in transport and logistics environments. It is not a case study from a specific client, but reflects the types of findings a diagnostic typically produces.
The regional transport operator had done what many peers had not.
It invested in telematics across its fleet. Vehicle location, fuel consumption, idling time, speed patterns, and driver behaviour were captured in near real time. Weekly performance reports were automatically generated. Exception alerts were configured.
On paper, it appeared data mature.
In practice, the information was not trusted.
Finance relied on fuel card reports and month-end reconciliations.
Operations referenced telematics selectively when it supported operational arguments.
Depot managers maintained manual logs “for safety.”
When route profitability discussions became tense, telematics data was not treated as authoritative evidence. It was treated as one input among many — and often set aside.
The question was not whether data existed.
It was whether governance existed.
The diagnostic was triggered by repeated disputes over route cost allocation. The largest driver was fuel.
Three systems reported fuel consumption:
Each system produced different figures.
Each figure was internally logical.
None had been formally designated as the authoritative record.
Fuel consumption is not simply a variable cost. It underpins:
Yet there was no formal master data governance framework defining:
In effect, fuel was critical financial data without ownership.
At month-end, fuel figures were reconciled manually.
Adjustments were made in a spreadsheet to align telematics consumption with fuel card purchases. The logic behind these adjustments was undocumented. No approval workflow existed. No audit trail was maintained.
When the individual who originally designed the reconciliation left the organisation, the process continued unchanged — but without institutional understanding.
This was not malicious behaviour.
It was an inherited workaround compensating for absent governance.
From a data governance maturity perspective, the organisation had advanced data capture but low governance discipline.
Trust in data depends on three conditions:
None were present.
Operations questioned telematics accuracy when it conflicted with on-the-ground experience.
Finance questioned telematics reliability because it did not align with purchase records.
Neither function had agreed criteria for adjudicating discrepancies.
As a result:
The technology investment did not fail. The data governance and data quality approach failed to mature alongside it.
Route-level margin decisions depended on fuel cost accuracy.
However:
This created several risks:
The organisation believed it had a route costing system.
In reality, it had a negotiation process.
The diagnostic evaluated governance approach and maturity across three dimensions:
No executive had end-to-end accountability.
This profile indicated functional data capture with immature governance control.
The solution was not system replacement.
Before considering integration or automation enhancements, leadership addressed governance foundations:
This constituted the organisation’s first formal data governance plan specific to route cost allocation.
Only after authority was clarified did telematics regain credibility.
Many transport operators assume that installing telematics improves visibility automatically.
In reality, visibility without governance creates ambiguity at scale.
Advanced capture systems increase the volume of data.
Without clear master data governance, they also increase the volume of disagreement.
Route costing depends on disciplined definition, not just measurement.
This case was not about inaccurate fuel data.
It was about undefined authority.
When multiple systems produce defensible but conflicting outputs, the absence of governance becomes the primary risk.
By stabilising definitions, assigning ownership, and formalising reconciliation controls, the organisation restored confidence in route-level cost allocation.
The technology did not change.
The maturity of governance did.