"Data-Driven Decision Making" (talk)

Data-Driven Decision Making (DDDM) is the process of making choices based on analyzing relevant data rather than intuition or guesswork. It involves collecting accurate and relevant information, examining it carefully, and using insights from that analysis to guide actions. This approach helps organizations make more informed and objective decisions, leading to better outcomes, efficiency, and reduced risk. Instead of relying solely on experience or instinct, DDDM emphasizes evidence-based reasoning, ensuring that choices are supported by factual information and trends. This method is applicable across various fields, from business to healthcare, improving overall effectiveness.