Summarize the following into a readable exam ready notes: Need for Analytics in Business Decision-Making, Business decisions increasingly depend on the systematic interpretation of data rather than intuition or past experience alone. As enterprises face rapidly changing environments, complex market structures, and voluminous information flows, analytics has emerged as an indispensable tool for enhancing strategic and operational decision-making. It enables organizations to respond with agility, precision, and evidence-based reasoning. Analytics refers to the process of examining raw data with the purpose of drawing conclusions and supporting decision-making. It encompasses a range of techniques that transform unstructured and structured data into insights using statistical methods, data visualization tools, and predictive modeling. These insights allow decision-makers to detect inefficiencies, evaluate alternative scenarios, anticipate risks, and identify emerging opportunities. The growing need for analytics is driven by several critical factors: Volume and Velocity of Data: The exponential increase in data generation across digital platforms, operations, and customer interactions necessitates analytical tools to extract actionable meaning. Competitive Advantage: Firms that successfully integrate analytics into decision-making processes often experience improved efficiency, better customer targeting, optimized resource allocation, and innovation-driven, growth. Complexity of Business Problems: Modern decision environments involve multiple variables, uncertain outcomes, and interconnected systems, making traditional decision-making inadequate without analytical support. Business analytics is applicable across functions. In marketing, it supports customer segmentation and campaign effectiveness; in finance, it informs budgeting, investment decisions, and risk management; in operations, it enables supply chain optimization and process improvement. Furthermore, analytics contributes to performance benchmarking and continuous improvement initiatives. The integration of analytics into decision-making also supports a culture of accountability and transparency. Decisions backed by data are more likely to gain organizational acceptance, withstand scrutiny, and align with strategic objectives. Analytics is no longer a supplementary capability but a core component of modern business intelligence. It empowers managers to convert data into insights and insights into value-generating actions.