Data-driven Decision Making
Data-driven decision making is the process of making decisions based on data analysis and interpretation. It involves collecting and analyzing data, identifying patterns and trends, and using this information to inform decision-making processes. Data-driven decision making is used in a variety of fields, including business, healthcare, education, and government. It allows organizations to make more informed decisions, reduce risks, and improve outcomes. Data-driven decision making involves the use of statistical analysis, machine learning, and other data science techniques to extract insights from data. It requires a strong understanding of data and the ability to interpret and communicate findings to stakeholders.
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