Data-driven decision making (DDDM) is a process that involves collecting, analyzing, and using data to inform and guide decision-making in various contexts, such as education, business, and healthcare. It is a modern phenomenon that has gained importance due to the increasing availability and complexity of data.
In education, DDDM refers to the ongoing process of collecting and analyzing different types of data, including demographic, student achievement test, satisfaction, and process data, to guide decisions in educational organizations. The U.S. Department of Education and the Institute of Education Sciences have emphasized the use of data in educational settings.
In business, DDDM is defined as using facts, metrics, and insights to guide strategic decisions that align with goals, strategies, and initiatives. It involves analyzing collected data through market research and drawing insights to benefit a business or organization. DDDM helps businesses make decisions based on facts instead of biases, leading to more informed and objective decision-making.
The benefits of DDDM include faster, more informed decisions, a stronger bottom line, greater profitability, and a better understanding of business needs. However, implementing DDDM can be challenging, as organizations need to manage and analyze large amounts of complex data.
