A unified and practical orientation to demand forecasting and demand management for supply chain professionals, students and practitioners. Presentation of forecasting as a process, rather than a series of disconnected techniques, incorporating graphical tools of looking at historical data, data cleaning, exploratory data analysis; intermittent demand forecasting and performance analysis. Practical traditional and modern nontradtiional methods for root-cause analysis and exception handling with 'big data' and predictive analytics.