This paper introduces version 2 of Lean Analytics, broadening the maturity levels of cargo data that can be used in the analysis. In practice some shippers have limited to zero access to detailed fuel data from their transporting companies, let alone allocated fuel data to shipments. They have to rely on estimated amounts of fuel derived from length of trips and/or standard consumption factors, or use sophisticated tools and models that can predict the amount of fuel needed for a given trip and route. Transporters sometimes only have aggregated amounts of cargo available. Version 2 of Lean Analytics allows for a broad range of data maturity levels to be combined in one analysis.