IBM2202 Coursework 1: Implementing Analytics Solution for TGV Cinemas

This report, prepared for the IBM2202 course, focuses on applying business analytics solutions to TGV Cinemas. The report begins with an overview of TGV Cinemas, including its history, pros, and cons, followed by an analysis of its current business environment, competitive landscape, and identification of problems and gaps. The core of the report proposes a comprehensive business analytics solution, including the discussion of business transformation scope, a detailed Business Intelligence (BI) architecture diagram and its components, and the benefits of BI for the organization. The proposed solution also covers the design of a data warehouse and Online Analytical Processing (OLAP) models, including data sources, ETL processes, data marts, and application visualizations. Furthermore, the report suggests predictive modeling techniques, outlining the selected data mining methodology, proposed data mining techniques, and the benefits of predictive modeling for TGV Cinemas. Key roles and responsibilities within the project team are identified. The report concludes with a hypothetical analysis of the future state of the business if the analytical solution is implemented, discussing the impact of the proposed solution on productivity, business performance, and revenue growth, backed by valid references. Proper citation and referencing using the Harvard Referencing format are used throughout the report.