Automating some tasks of business analyst

Data Collection and Cleaning Why Automate: Efficiency: Data collection can be time-consuming and repetitive, consuming valuable analyst resources. Automation can streamline this process, allowing analysts to focus on higher-value activities like data analysis and interpretation. Accuracy: Manual data entry is prone to errors. Automated data collection and cleaning reduces the risk of human error, ensuring data integrity and reliability. Consistency: Automation ensures data is collected and formatted consistently across different sources, improving data quality and comparability. Scalability: As data volumes grow, manual data collection becomes increasingly inefficient. Automation can handle large datasets efficiently, enabling analysts to scale their work. By automating these tasks, business analysts can significantly improve their productivity and the overall quality of their analysis.