Boosting Project Efficiency by 40% for a Drone company with monday.com implementation
About The Company:
The client is a leader in the integrated drone industry, specializing in aerial intelligence for various sectors. Founded in 2013, the company has revolutionized drone services by offering scalable, end-to-end solutions that empower industries with accurate and efficient data collection. Operating from its headquarters in Bangalore, the client has played a pioneering role in transforming how drone technology is used for commercial applications across industries such as infrastructure, agriculture, and mining.
Customer Challenges:
As the client expanded its operations, managing multiple projects efficiently became increasingly difficult. Some of the key challenges included:
- Collaboration Between Teams: Various teams, including field operators, quality control (QC), and data processing teams, worked on different project phases. Lack of a centralized platform for communication and data sharing led to delays and inefficiencies.
- Limited Project-Level Overview: Each project consisted of up to 50 tiles, requiring real-time tracking. Absence of a structured tracking system made it difficult for managers to monitor project status and identify bottlenecks.
- Approval Process Delays: Field data submissions required QC verification before processing. An unstructured approval workflow resulted in inconsistencies and delays.
- Data Consistency & End-to-End Mapping Issues: Ensuring data accuracy from field submission to final processing was a significant challenge. Lack of automated mapping and tracking tools made it difficult to trace discrepancies, leading to errors in final deliverables.
Solutions:
To overcome these challenges, we implemented Monday.com, a robust project management and data-tracking system with the following key features:
- Centralized Collaboration: We created a Monday board with columns for task assignments, QC feedback, and processing stages. Using Dashboards, we integrated real-time data submissions and enabled @client name for instant communication. External tools like Slack and Gmail were connected via integrations to ensure seamless collaboration.
- Project-Level Tracking: A dynamic tracking system was built using Status Columns for task stages and Formula Columns for progress calculations. The Gantt View provided a visual timeline, while automations triggered alerts when tasks approached deadlines. Milestones were set to highlight critical project phases.
- Automated Approval Workflow: A structured approval board was linked to project tasks. Dropdown Columns categorized approval stages, while triggers sent automated notifications when submissions moved to "Approved" or "Rejected." A reminder automation ensured pending approvals were addressed within set conditions.
- Data Mapping & Validation: A data validation board was implemented with Formula Columns to flag missing or incorrect entries. Conditional formatting highlighted errors, and automated workflows changed statuses if validation failed. We integrated Google Sheets and Salesforce for real-time data synchronization and accuracy checks.
By following these steps we automated project tracking, workflows and notifications for the client.
Results:
By implementing these solutions, the client achieved significant improvements in operational efficiency:
- 40% Faster Project Completion: The centralized platform and automated tracking system streamlined workflows, reducing overall project timelines.
- 30% Reduction in Approval Time: The structured approval workflow eliminated delays, ensuring faster data validation.
- Improved Data Accuracy: End-to-end data mapping significantly reduced errors, leading to high-quality deliverables.
- Enhanced Collaboration: Teams worked more efficiently with real-time updates and integrated communication.
Technology and Tools Used:
Monday.com
Final Words:
By adopting a structured project management and data-tracking approach, the client successfully transformed its operational workflow. The improvements in collaboration, approval processes, and data consistency enabled the client to deliver high-quality data more efficiently. This case study highlights the impact of strategic technology adoption in streamlining drone-based data collection and processing, setting a new standard for efficiency in the industry.
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