Data-Driven Decision Making
Data-Driven Decision Making (DDDM) is an evidence-based approach that uses data analysis, statistical methods, and analytical models to guide strategic, operational, and policy decisions. By transforming raw data into actionable insights, DDDM reduces uncertainty, minimizes bias, and improves accuracy and accountability in decision processes. It integrates tools such as data analytics, machine learning, dashboards, and performance metrics to support continuous improvement across domains including business, healthcare, education, governance, and scientific research.
Data-Driven Decision Making, DDDM, Data Analytics, Evidence-Based Decision Making, Business Intelligence, Predictive Analytics, Prescriptive Analytics, Statistical Analysis, Big Data, Machine Learning, Artificial Intelligence, Key Performance Indicators (KPIs), Data Visualization, Decision Intelligence, Performance Analytics, Forecasting, Risk Assessment, Optimization, Digital Transformation, Strategic Planning, Smart Decision Systems.
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