Bachelor Thesis from the year 2021 in the subject Computer Science - Applied, grade: 2,0, W rzburg-Schweinfurt University of Applied Sciences, language: English, abstract: Imagine unlocking the hidden potential within your social networking platform - the power to not only understand user behavior but to predict and optimize it. This book delves into the crucial world of Key Performance Indicators (KPIs) and unveils a practical, data-driven approach to maximizing engagement and growth. Explore a comprehensive methodology for identifying and assessing the most relevant KPIs, tailored specifically for social platforms. Discover how event sourcing can revolutionize your data analytics, providing a real-time, granular view of user interactions. Learn to harness the power of statistical methods like the Mann-Whitney U test to extract meaningful insights and validate your strategies. This book goes beyond theory, offering a step-by-step guide to building and implementing a sophisticated web application, a "Dashapp," designed for KPI monitoring and optimization. Master the art of data visualization with Python and Plotly, transforming raw data into compelling dashboards that reveal critical trends in user funnels, network dynamics, and retention rates. Whether you're a data scientist, a product manager, or a technology enthusiast, this book provides the knowledge and tools to transform your social platform into a data-informed powerhouse. Uncover practical techniques for data preprocessing, A/B testing, and metric optimization, enabling you to make informed decisions and drive sustainable growth. This is your roadmap to leveraging data analytics and achieving unparalleled success in the dynamic world of social networking, where understanding user behavior is the key to dominating the competition. Optimize your social networking platform with data-driven insights, leveraging event sourcing and powerful tools for enhanced KPI management and strategic decision-making. This bo
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