Reliable forecasts represent not only algorithms, which are appropriate to the business setting, but also are based on an inclusive, highly integrative process that gathers all data that can impact the ultimate demand placed upon the supply chain. Data granularity is critical to ensure that the right product at the item level is produced or distributed. Superior forecast processes require the evaluation of historical data as well as the current demand activity, and the ability to adjust forecasts on the most current data and assumptions.