This presentation analyzes the role of data insights in business decisions within the high education sector, specifically focusing on Cambridge University. It explores the types of data collected (including big data, first-party, second-party, and third-party data), and contrasts orthodox market research with big data methodologies. The presentation details how data is captured and stored, referencing database types like graphical and relational databases, and the impact of technological developments on data analysis and business decision-making. It covers how information and data are used in daily operations, including tracking attendance and evaluating curriculum, and highlights the strategic importance of data in the organization's operations. The presentation concludes with a summary of key findings and references relevant academic sources, providing a comprehensive overview of data-driven decision-making in the context of higher education.
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