The document describes an internship project to build a data mart with three components of data to improve forecasting for a matrimony business. The three components are: 1) forecasting monthly registrations, 2) analyzing the impact of telemarketing holidays on monthly sales in 2015, and 3) determining the monthly contribution to the "greater than 40 relevant base" from January 2016 to May 2016. Various forecasting techniques are evaluated for accuracy, with exponential smoothing including autocorrelation found to be best for time series forecasting of registrations. The project improved sales prediction accuracy and provided learning experiences for the intern.