1. Project Documentation 2. Data Deliverables Raw Data Files: Original or cleaned datasets (in formats like CSV, Excel, SQL, etc.). Data Dictionary: Documentation of variables, definitions, and data sources. Data Cleaning Report: Summary of preprocessing steps, such as missing values handled, outlier treatment, etc. 3. Analysis and Insights Exploratory Data Analysis (EDA): Initial trends, patterns, or anomalies found in the data. Statistical Analysis: Key metrics, correlations, or predictive models based on project requirements. 4. Visualizations and Dashboards Graphs and Charts: Visuals like bar charts, scatter plots, or heatmaps explaining key findings. Interactive Dashboards: Tools (e.g., Power BI, Tableau) for real-time insights and exploration. 5. Reports and Presentations Summary Report Slide Deck: Presentation summarizing the results with visuals and actionable insights. 6. Actionable Recommendations Key Insights: Concrete findings with business implications. Recommendations: Suggested actions based on the analysis (e.g., strategies to increase customer retention).