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This video tutorial outlines how to perform a DC (Demand Consistency) analysis using monthly data from August 2006 to March 2013. The process differs from previous examples that utilized quarterly data. Key steps include creating seasonal columns, a centered moving average (CMA), and computing unadjusted and adjusted factor columns. The analysis aims to adjust the data for better demand forecasting. The tutorial emphasizes the importance of using half-year periods, marking the first six months with stars to facilitate the calculations needed for the DC analysis of supply sales data.