This project aims to automate data migration between legacy software systems and modern applications using RPA. The solution extracts structured data, transforms formats, validates integrity, and uploads it into target systems, reducing migration errors and operational downtime.
Study data migration challenges in organizations.
Identify repetitive data transfer processes.
Design automation flow for extraction and transformation.
Develop RPA bot to extract data from legacy interface.
Perform data cleaning and formatting.
Upload data into target system automatically.
Validate data integrity after migration.
Generate migration summary reports.
Handle error records with exception logs.
Test migration using sample datasets.
Measure migration accuracy and speed improvements.
Document automation design and testing results.
