While building an ESG/BRSR platform, one thing became clear: the challenge is not compliance, it is understanding what to track.
The gap between concept and execution
At a high level:
- track emissions
- generate reports
In reality:
- data is scattered
- ownership is unclear
- processes are informal
Operational problem, not technical
Most discussions focus on frameworks, but the real questions are:
- who captures data?
- how often?
- how is it validated?
Without operational clarity, software alone cannot help.
Data fragmentation
Typical distribution:
- energy -> facilities
- logistics -> operations
- procurement -> finance
There is no unified view.
Over-complication reduces adoption
Complex tools:
- overwhelm users
- reduce adoption
Simple workflows work better.
What works
- simple data capture
- configurable calculations
- modular reporting
- gradual adoption
What to measure in the first reporting cycle
The first cycle should prove that the operating process works before the organization optimizes the reporting platform.
Useful measures include:
- percentage of required data points with a named owner
- time spent collecting and reconciling source data
- number of corrections after internal review
- assumptions used in calculations and whether they are traceable
- reporting areas that still depend on manual estimates
This evidence shows where software can remove friction and where the underlying ownership model still needs work.
When specialist tooling becomes necessary
Spreadsheets and lightweight workflows can be enough during initial discovery. Specialist tooling becomes more valuable when reporting periods repeat, calculation rules need governance, multiple entities contribute data, or auditability becomes a material requirement.
The transition should follow operational maturity rather than precede it.
Conclusion
ESG/BRSR is fundamentally a data and process problem, not just reporting.
If you are exploring ESG/BRSR and need a practical starting point, feel free to reach out.