Less data collection, more time for customer analysis
A consulting team can produce reports, organize environmental research, or help implement a sustainability plan. Each job requires review of the customer's data and specialists that are appropriate for it.
The consultant collects data of an agreed scope, verifies their sources and prepares a report for the client. Implementation of sustainability measures can be a separate service.
Specialists track the measurements, research and conditions applied to specific objects. There is a consensus with the operator as to who evaluates the result and takes the necessary actions.
The calculation determines which activities are included, what data are used and what coefficients are applied. The actual change in emissions is assessed separately from the methodology or correction of the data.
A specialist evaluates a specific object or issue and provides a conclusion based on documents and research. Continuous monitoring is only provided when the customer needs it.
The sustainability consultant draws conclusions from the customer's accounting, activities and data provided by partners. The work is repeated as the period or purpose of the report changes, but different methodologies may require a different scope of data. It is valuable for the customer to be able to verify the conclusion and use the collected data for their decisions.
The purpose of the service, the objects being assessed and the data and methodology needed to support the result are compatible with the client.
The sample, activity record or supplier estimate shall indicate where the data came from and whether they were verified.
A specific methodology is applied; the uncertainty is returned to the responsible submitter.
A verified document or indicator is issued, and the required action of the client has its owner.
A new fact preserves the previous version and updates a truly affected result or tool.
Information is mainly held in separate files or notes. Employees pass it on and reconcile it manually.
Teams record their work consistently, but sharing information with colleagues still requires considerable manual checking.
Core work is managed in systems. Some information is transferred automatically, but repeated data entry remains.
Systems deliver the required data on time. Employees can see unfinished work and know who is responsible for resolving discrepancies.
The team checks data quality, evaluates results and uses them to improve operations. Automation is applied where its value can be demonstrated.
It is useful to combine data collection with computation and reporting. The client must be easy to understand how the result was obtained and what actions are proposed under it.