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In today’s fast-paced, highly competitive, and technology-driven world, organizations are constantly faced with complex decisions. From determining market strategies and improving customer experiences to optimizing operations and managing risks, decision-making plays a critical role in business success. Traditionally, many decisions were based on intuition, experience, or hierarchical authority. While these approaches still hold value, they are no longer sufficient in an era dominated by vast amounts of data. This has led to the rise of Data-Driven Decision Making (DDDM)—a systematic approach that uses data analysis and evidence to guide strategic and operational decisions.
By Lauren Hills5
66 ratings
In today’s fast-paced, highly competitive, and technology-driven world, organizations are constantly faced with complex decisions. From determining market strategies and improving customer experiences to optimizing operations and managing risks, decision-making plays a critical role in business success. Traditionally, many decisions were based on intuition, experience, or hierarchical authority. While these approaches still hold value, they are no longer sufficient in an era dominated by vast amounts of data. This has led to the rise of Data-Driven Decision Making (DDDM)—a systematic approach that uses data analysis and evidence to guide strategic and operational decisions.