POI Data Collection

Project Overview

LGEOM undertook a large-scale Point of Interest (POI) data collection project for TomTom India Pvt. Ltd., covering the states of Gujarat, Rajasthan, Madhya Pradesh, and Uttar Pradesh. The project involved the development and deployment of a custom mobile application for efficient POI data collection, followed by data processing, quality control, and delivery to the client.

Project Objectives

The primary objectives of the project were:

• Develop a custom mobile application for efficient POI data collection.
• Collect a large volume of accurate POI data.
• Ensure data quality and consistency.
• Deliver POI data in a format suitable for TomTom's mapping requirements.

Project Scope

The project encompassed the following key activities:

• Mobile Application Development: Design, development, and testing of a custom mobile application for POI data collection, incorporating features such as GPS, camera, offline capabilities, speed tracking, and data synchronization.
• Data Collection: Deployment of field teams equipped with mobile devices to capture POI data efficiently.
• Data Processing: Data cleaning, validation, standardization, and enrichment using GIS tools and scripting languages.
• Quality Control: Implementation of rigorous quality control measures, including physical verification, data consistency checks, accuracy assessments, and duplicate removal.
• Data Delivery: Delivery of POI data in the required format to TomTom India Pvt. Ltd., adhering to specified data standards.

Project Methodology

The project followed a data-driven approach, emphasizing efficiency and accuracy. Key steps included:

• Mobile Application Development: Utilizing advanced features like GPS, camera, offline capabilities, speed tracking, and data synchronization to optimize data collection.
• Data Collection: Deployment of field teams equipped with mobile devices to capture POI data efficiently, with real-time monitoring of field progress.
• Data Processing: Efficient data processing pipelines using GIS tools and scripting languages for data cleaning, validation, standardization, and enrichment.
• Quality Control: Implementation of a multi-tiered quality control process involving automated checks, manual reviews, and physical verification to ensure data accuracy and consistency.
• Data Delivery: Customized data delivery formats based on client requirements, ensuring data compatibility and usability.

Project Challenges and Solutions

The project encountered challenges such as data consistency, data volume, and field operations. These challenges were addressed through:

• Standardized Data Collection Forms: Implementing standardized data collection forms within the mobile application.
• Quality Control Measures: Regular data audits, validation checks, physical verification, and statistical analysis to identify outliers and inconsistencies.
• Efficient Data Processing: Utilizing advanced data processing techniques and tools to handle large volumes of data efficiently.
• Field Team Training: Providing comprehensive training to field teams on data collection procedures, quality standards, and the use of the mobile application.

Project Outcomes and Impact

The successful completion of the project resulted in:

• Collection of over 2 million POIs with high accuracy and completeness.
• Development of a robust and efficient mobile application for POI data collection.
• Improved data quality and consistency through rigorous quality control measures, including physical verification and statistical analysis.
• Enhanced productivity and cost-effectiveness through optimized workflows.
• Valuable experience in large-scale data collection and management.

Key Performance Indicators

The project's success was measured through the following KPIs:

• Data accuracy and completeness (achieved 95% accuracy).
• Efficiency of data collection and processing (reduced data collection time by 40%).
• Adherence to project timelines and budget (project completed within budget and ahead of schedule).
• Client satisfaction with data quality and delivery.

Conclusion

The POI data collection project for TomTom India Pvt. Ltd. has successfully delivered a large and accurate dataset of Points of Interest. The development and use of a custom mobile application, combined with a robust quality control process, including physical verification and statistical analysis, significantly enhanced data accuracy, efficiency, and overall project success. The project demonstrated LGEOM's expertise in large-scale data collection, data management, and the development of advanced geospatial solutions. The experience gained from this project can be leveraged for future data collection initiatives and the development of advanced geospatial solutions.