In my current role as a Sales Analyst at ProSales Inc., I've been directly responsible for maintaining the health of our sales pipeline through forecasting. I have used a mix of historical data analysis and predictive modelling algorithms via tools like Excel and the CRM Suite.
One of the main tasks I performed was to prepare a quarterly forecast model of potential sales. This involved incorporating sales and pipeline data, historical trends, market factors and insights gleaned from sales team feedback into a complex predictive model built with Excel’s Data Analysis ToolPak.
By setting up a robust forecasting system, we enhanced our ability to anticipate ups and downs in sales activities, enabling us to implement preventive measures and opportunities. This has resulted in a more efficient sales cycle, improved resource allocation, 15% reduction in lead conversion time, and a 10% boost in our quarterly revenue.