Cloud Data Transformation Workflow for Automated Multi-Stage Processing and Aggregation of a Serverless Enterprise Sales Analytics Application

The organization collects sales information from its business systems.

Sales data containing information such as customer, product, quantity, price, region, and sales date is uploaded to the application. The system receives the data and stores the raw sales records for further processing.

The system checks whether the incoming sales data is complete and valid.

The system checks required fields such as product ID, customer ID, quantity, sales amount, and transaction date. Invalid or incomplete records are identified and separated from valid sales records.

The system removes duplicate and inconsistent sales records.

The application identifies duplicate transactions, missing values, incorrect formats, and inconsistent records. Valid data is retained for further processing while invalid records are separated for review.

Raw sales data is converted into a standardized format.

The application standardizes values such as dates, currencies, product information, and sales categories. The transformed records are prepared for aggregation and analysis.

The system combines processed sales records to generate useful business summaries.

The application calculates values such as total sales, total quantity, average sales, and revenue based on product, region, customer, and time period.

The transformed and aggregated sales information is stored for future analysis.

Detailed processed sales records and aggregated results are stored in the appropriate data storage. PostgreSQL maintains structured sales information, while S3 can retain raw and processed datasets.

Managers and business users analyze the processed sales information.

The application retrieves aggregated sales information and provides insights such as regional sales performance, product performance, monthly revenue, and customer sales.

The organization generates sales reports for management and business teams.

The application retrieves the required processed data and generates reports such as daily sales, monthly revenue, product-wise sales, region-wise sales, and customer-wise sales.

The transformed and aggregated data becomes available for business decision-making.

After all processing stages are successfully completed, the system marks the data-processing workflow as completed and makes the latest sales information available to authorized users.