Development and implementation of an automated quality control system for projects that minimizes human factors and provides instant feedback on the status of reports.
Challenge:
The client faced the problem of untimely submission of photo reports from projects. Manual verification of data from closed corporate systems was ineffective, taking hours of managers' time and leading to overdue reports being identified too late.
My solution:
I designed and integrated an automated monitoring system based on the Make (Integromat) platform:
API Integration: Set up a secure connection to the client's closed API system to extract raw data in real-time.
Data Processing: Created logic in Make for normalizing data, checking timestamps, and automatically filtering reports by status.
Visualization: Set up automatic export of processed data to Google Sheets, where the system automatically highlights overdue reports and sorts them by priority.
Notification System: Implemented a mechanism that allows the manager to instantly see projects that have fallen behind schedule without the need to manually check the status of each employee.
Technology Stack:
Make (Integromat)
REST API (JSON integration)
Google Sheets (Automation & Data management)
Result:
Complete Automation: The process of collecting and analyzing data now operates without human intervention.
Quality Control: Instant response to overdue reports has improved discipline on projects.
Time Savings: The management team has eliminated routine work, allowing them to refocus on analytics rather than data collection.
Challenge:
The client faced the problem of untimely submission of photo reports from projects. Manual verification of data from closed corporate systems was ineffective, taking hours of managers' time and leading to overdue reports being identified too late.
My solution:
I designed and integrated an automated monitoring system based on the Make (Integromat) platform:
API Integration: Set up a secure connection to the client's closed API system to extract raw data in real-time.
Data Processing: Created logic in Make for normalizing data, checking timestamps, and automatically filtering reports by status.
Visualization: Set up automatic export of processed data to Google Sheets, where the system automatically highlights overdue reports and sorts them by priority.
Notification System: Implemented a mechanism that allows the manager to instantly see projects that have fallen behind schedule without the need to manually check the status of each employee.
Technology Stack:
Make (Integromat)
REST API (JSON integration)
Google Sheets (Automation & Data management)
Result:
Complete Automation: The process of collecting and analyzing data now operates without human intervention.
Quality Control: Instant response to overdue reports has improved discipline on projects.
Time Savings: The management team has eliminated routine work, allowing them to refocus on analytics rather than data collection.