The data quality actually tells you how accurately your source data is entered for the analysis. The data quality is determined by the choices you make while answering the questions in the logistics profile and mainly relates to the detailed data of your shipments and fuel consumption.
There are 4 different levels for classifying the quality of your data:
Bronze: The shipment contains data based on an estimate, for example the consumption (km / l) is not known and must therefore be estimated with key figures.
Silver: The shipment contains data based on a sample, for example the consumption (km / l) is an average over a measurement of the number of trucks.
Gold: The shipment contains data based on what actually happened, for example the consumption (km / l) is known per truck per month.
Gold +: The shipment contains data based on what actually happened, for example the consumption (km / l) is known per shipment per truck per trip.
The level of data quality is determined by a percentage. A dataset has the data quality silver, gold or gold + when at least 75% of a certain level occurs. If this 75% is not achieved, the dataset has the data quality bronze. Some situations:
Situation 1: 50% bronze, 50% gold = bronze
Situation 2: 20% bronze, 80% silver = silver
Situation 3: 25% bronze, 50% silver, 25% gold = bronze
In the validation report, to be downloaded after the validation of your data has been completed, you can see how your data has been processed by the BigMile tool.
The better the data quality, the more accurately the BigMile tool can calculate the actual CO2 emissions for you.