Summary

Liquid Environmental Solutions (LES) used third-party APIs to track key operational metrics such as truck routes, driver assignments, collection times, waste collected, and number of stops. The tracking worked well, but the data sat in a third-party fleet management system and on-premises virtual machines in an unstructured format. This made analysis and reporting difficult.

Imperium Dynamics built automated data pipelines using Microsoft Fabric to capture, map, and transform the data from the APIs and on-prem systems. We also set up alerts and logging through Outlook for better monitoring. More than 8 million rows of historical data were moved to Azure. This created efficient, accessible, and scalable storage for LES operations.

Summary Image

The Problem

Operational data was stored in a third-party fleet management system and on-premises virtual machines

Data remained unstructured and difficult to use for analysis or reporting

Limited visibility and insights into key metrics like routes, driver performance, and waste collection

Inefficient handling and poor scalability of historical data

The Outcome

Automated data pipelines built with Microsoft Fabric to capture, map, and transform data from third-party APIs and on-prem systems

Over 8 million rows of historical data (four years) successfully migrated to Azure

Centralized, structured data repository now enables real-time and historical analysis with better scalability

Alerts and logging implemented via Outlook for real-time monitoring and notifications

The Outcome

Daily scheduled jobs ensure consistent and reliable data flow

Solution Features

Automated daily pipelines for data migration

Alerts and logging via Outlook for operational monitoring

Structured storage of operational metrics in Azure

Centralized data repository for real-time and historical analysis

Technology Stack

Azure

Microsoft Fabric

Outlook

Delivery Timeline

10 months

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