Data-driven research involves gathering, analyzing, and interpreting large sets of data to derive insights and make informed decisions. This type of research relies on statistical analysis, machine learning, and other data science techniques to uncover patterns, trends, and correlations within the data. Data-driven research is often used in various fields such as marketing, healthcare, finance, and social sciences to improve decision-making and drive innovation. By harnessing the power of data, researchers can gain valuable insights that can lead to more accurate predictions and better outcomes.