General instruction : The reports should be maximum 15 pages o Cover page and other appendices are not part of the page count Use 12-point Times New Roman font for all regular text. o Title, headers, and other section names can be set to 14 or 16 points Use single space for all regular text Use captions for tables, charts, and figures, and reference them in the text Resaecrh section Introduction Background of Netflix and its significance in the streaming industry. Importance of data analytics and business intelligence in streaming. Netflix Challenges Identification of the main challenges or questions this research aims to address. Data Methodology Data Collection Methods Data Analysis Techniques Descriptive Data Analysis Overview of the Dataset: Size, scope, and nature of the collected data. Basic Statistics: Mean, median, mode, standard deviation, etc. Graphical Representations: Histograms, pie charts, bar graphs, etc. to visually represent the data distribution. Preliminary Observations: Initial insights drawn from the descriptive analysis. Analysis Netflix’s Personalization Strategies: Overview of how Netflix uses data analytics and business intelligence for personalization. Impact on User Satisfaction: Analyzing the correlation between personalization and user satisfaction. Impact on User Retention: Assessing how personalization strategies influence user loyalty and retention. Discussion Interpretation of Findings: Delving deeper into what the results mean for Netflix and the broader streaming industry. Comparison with Competitors: How does Netflix’s approach compare with other major players in the industry? Recommendations Strategic Recommendations: Suggestions for Netflix to enhance its personalization strategies and improve user satisfaction and retention. Operational Recommendations: Day-to-day operational changes that can be implemented by Netflix based on the findings. Conclusion Recap of the main findings and their implications for Netflix. References
