In her talk, Poornima will deep dive into ways that big data, data science, and machine learning can unlock product growth, including:

Hypothesis Testing: Poornima will explore how Product Managers can leverage Data Science to create hypotheses, run experiments, analyze outcomes, and share insights. This approach helps reduce uncertainty, optimize resources, and deliver value to customers.

Predictive Analytics: She will discuss how Product Managers can use Data Science techniques to predict future trends and customer behavior, forecast customer demand, churn, retention, and satisfaction. This allows for proactive decisions that can drive growth.

Personalization: Poornima will demonstrate how Product Managers can use Machine Learning to create personalized experiences and recommendations that adapt to customer needs, preferences, and feedback, thereby increasing customer engagement and loyalty.

Optimization: By analyzing data on product performance, Product Managers can identify improvement areas and optimize their products to better meet customer needs.