EP110: Leveraging analytics for better decision making

The growth of data and analytical capabilities has shifted businesses from intuition-based decisions to data-driven decision making. Analytics transforms raw data into actionable insights that help organizations understand past performance, identify causes, predict future outcomes, and recommend optimal actions. It is defined as the scientific process of examining data using tools and techniques to uncover patterns, trends, and foresight for informed decisions. There are four key types of analytics: descriptive (what happened), diagnostic (why it happened), predictive (what might happen), and prescriptive (what action to take). As organizations move from descriptive to prescriptive analytics, both complexity and business value increase. Analytics delivers benefits such as improved decision making, stronger performance, better planning, enhanced customer relationships, efficient resource use, and improved risk management. It is widely used across industries including BFSI, retail, e-commerce, healthcare, HR, and social media. To fully realize its potential, organizations must embed analytics across all functions and decision levels.