Finance leaders within companies with heavy-duty transportation assets are asked to defend EBITDA (earnings before interest, taxes, depreciation, and amortization), justify capital allocation decisions, and protect shareholder returns using data that was never designed to answer those questions. Equipment investments represent one of the largest capital commitments on the balance sheet, yet most finance teams are still managing it with historical ledgers rather than forward-looking forecasts. The intent to model risk and plan strategically is there; what is missing is the financial intelligence infrastructure to do it.
Read the full article: