• Objective

  Many organizations face challenges with manual safety inspections, compliance tracking, and reporting. Safety and compliance data is often scattered across multiple reports, making real-time tracking and decision-making difficult. This project aims to automate data extraction from SafetyCulture API, structure the data, and provide actionable insights through a centralized dashboard, enabling faster risk mitigation and more efficient compliance tracking.

• Solution

  We designed an end-to-end data pipeline to automate the extraction and processing of SafetyCulture API data. The solution included:

  • Automated Data Extraction: Developed API integration to pull inspection records in real-time.
  • Data Transformation & Enrichment: Standardized and enriched the data for analysis.
  • Storage & Reporting: Integrated with a cloud data warehouse to enable structured reporting.
  • Alert & Monitoring System: Created real-time alerts for compliance and operational insights.
• Outcome

  This solution significantly improved the efficiency of inspection data management, reducing manual effort and enhancing reporting capabilities. Key benefits included:

  1. • Faster data availability for decision-making
     • Improved compliance tracking and risk assessment
     • Seamless integration with existing reporting tools.
• Technology

  The solution was built using the following technologies:

  • Data Source: SafetyCulture API
  • Data Extraction: Azure Data Factory
  • Data Storage: Azure Data Lake
  • Data Warehouse: Snowflake Data Warehouse

How does it work?