Business Intelligence to Enhance Segmentation and Targeting Results for Training Courses in Educational Institutions Using Social Media Data

In today's digital age, educational institutions face the challenge of effectively reaching and engaging with their target audience amidst a sea of information and competing content. This research paper delves into the intersection of business intelligence and social media data to enhance segmentation and targeting outcomes for training courses within educational institutions. Through a comprehensive methodology involving data collection, analysis, and model design, this study examines the efficacy of leveraging social media data to inform decision-making processes. Over a six-month period, social media data from platforms such as Facebook and Instagram were meticulously analyzed to uncover valuable insights into follower behavior, preferences, and engagement patterns. The findings shed light on the most effective strategies for segmenting and targeting followers, enabling educational institutions to tailor their course offerings to specific demographics and interests. Graphical analyses further illuminate the effectiveness of different advertising platforms and workshop types, providing decision-makers with actionable insights to refine their targeting efforts. From workshops emphasizing analytical skills to those catering to specific age groups and educational levels, institutions can now better understand what resonates most with their target audience. By harnessing the power of business intelligence and social media data, educational institutions can refine their segmentation and targeting strategies, ultimately delivering more relevant and impactful training courses. This research paper serves as a roadmap for institutions seeking to leverage data-driven approaches to optimize their educational offerings and enhance student engagement and satisfaction.