Summary
In this episode of Beyond the Pipeline, Srikant Sivasubramanian shares his journey from consulting at McKinsey to leading the forecasting function at Freshworks. He discusses the evolution of the forecasting model at Freshworks, highlighting the transition from a sales-driven methodology to a more structured, cohort-based approach. Srikant emphasizes the importance of leveraging historical data and building trust within teams to improve forecasting accuracy and drive business success. In this conversation, Srikanth discusses the intricacies of sales forecasting, emphasizing the importance of pipeline management, data quality, and the implementation of machine learning models. He shares insights on how to achieve accuracy in forecasting while providing practical advice for organizations looking to build effective forecasting models. The discussion highlights the critical role of operational efficiency and the need for a strong data foundation to support forecasting efforts.
Connect with Srikanth on Linkedin. Don't forget to mention this episode while sending out a connection request.
Episode 16
