This project aims to develop a cloud-hosted analytics system that helps small and medium enterprises analyze sales data. The platform provides real-time insights, demand forecasting, and performance reports using cloud scalability and analytical techniques.
Analyze existing sales management and analytics tools used by small businesses.
Design a scalable cloud-based architecture for handling large transactional datasets.
Implement secure cloud storage for sales data using relational and NoSQL databases.
Develop data ingestion modules to collect daily sales data from multiple sources.
Apply data cleaning and transformation techniques to ensure data accuracy.
Implement analytical algorithms to identify sales patterns, trends, and seasonal variations.
Build predictive models to forecast future sales based on historical data.
Develop interactive dashboards for sales visualization and reporting.
Implement access control and data encryption for sensitive business information.
Perform testing and validation of analytical results and document findings.
