Application of Machine Learning for data-driven sales forecasting

In this talk, the speaker explores various data science and machine learning techniques that help business-to-business sales teams to produce accurate forecasts for their business leaders. By analyzing past product and sales team behavior as captured in CRM and activity data and by building appropriate models for producing a more accurate forecast, data-driven methodologies offer significant value to sales teams. In addition to increasing the confidence level of their forecasts, these approaches automate and update forecasts on a daily basis and provide a more current view of sales team performance taking into consideration latest activity across all their opportunities.