Data Entry Process Automation
Workflow
Role
Business Development Intern
Organization
Türkiye National Observatory
The Core Challenge
The data entry process involved more than 2,000 records that needed to be manually processed and transferred into internal systems on a recurring basis. This workflow was time-consuming, repetitive, and highly prone to human error, especially when handled under operational workload constraints. The lack of automation resulted in significant time loss and limited the efficiency of the administrative processes within the department.
The goal was to eliminate repetitive manual data entry by designing an automated solution that could reliably handle bulk data processing with higher accuracy and consistency.
Automation Workflow
A structured approach to automating repetitive data entry tasks using Python.
Process Analysis
Identified repetitive data entry tasks involving over 2,000 records and mapped the manual workflow steps.
Automation Design
Designed a Python-based automation approach using Selenium to replicate manual browser interactions.
Execution & Optimization
Implemented batch processing for 2,000+ records, improving consistency and reducing manual workload.
Technologies Used
Automation Workflow Diagram
Batch Data Processing Structure
Impact & Results
Records Processed
Automated handling of large-scale data entry operations using Selenium-based scripts.
Time Saved
Reduced manual workload by eliminating repetitive data entry tasks through automation.