Journal of Marketing and Sales Management

Authors : Ramesh Singh , Neeta Sharma

Abstract : Accurate sales forecasting is crucial for effective sales management and strategic planning. This paper explores the role of data analytics in enhancing the accuracy of sales forecasts. By leveraging advanced analytical techniques, such as predictive modeling, machine learning, and big data analysis, businesses can gain deeper insights into sales trends and patterns. The study reviews various data analytics tools and their applications in sales forecasting, highlighting the benefits of data-driven decision-making. Additionally, the paper discusses the challenges and best practices for implementing data analytics in sales forecasting. The research findings emphasize the importance of integrating data analytics into sales processes to improve forecast accuracy and drive better business outcomes.

Keywords : Sales Forecasting, Data Analytics, Predictive Modeling, Machine Learning, Big Data