Case Study

Empowering Insights: Azure IoT and Advanced Analytics Solution

Business Objectives

The project’s objectives were clear and crucial for enhancing the client’s operational capabilities. By focusing on these key goals, we aimed to provide a comprehensive solution that would transform their data management and analysis processes.

  • Support Data Transmission: Facilitate the seamless transmission of equipment data from field sites to Azure Cloud.
  • Gain Valuable Insights: Leverage collected data to gain valuable insights into equipment performance and drive informed business decisions.


Our client faced significant challenges due to a lack of in-house expertise in designing and implementing an Azure IoT and advanced analytics solution. Addressing these challenges was critical to ensuring the project’s success.

  • Lack of In-House Expertise: The client needed support to design and implement an Azure IoT and advanced analytics solution effectively.


Convverge’s approach was to develop a tailored solution that would meet the client’s specific needs. By thoroughly understanding their requirements, we crafted a comprehensive strategy to overcome the challenges and achieve the desired outcomes.

  • Thoroughly Gathered Business Requirements: For Azure Stream Analytics and storage containers.
  • Created Essential Storage Containers: To house incoming data from Azure Stream Analytics.
  • Developed Azure Stream Analytics Components: To process and analyze the data.
  • Enabled OPC U Server Functionality: To support data transmission.
  • Acquired and Configured IoT Edge Device: To ensure efficient data collection and transmission.
  • Efficiently Configured IoT Hub: To guarantee seamless data transmission to the Azure Cloud.

Success KPIs

The success of the Azure IoT and advanced analytics solution implementation was measured through several key performance indicators (KPIs) that demonstrated the significant impact and effectiveness of the transformation:

  • Improved Data Transmission: Achieved seamless and secure transmission of equipment data from field sites to the Azure Cloud.
  • Enhanced Equipment Performance Insights: Enabled valuable insights into equipment performance through advanced analytics.
  • Increased Decision-Making Capabilities: Empowered the client to make informed, data-driven business decisions.
  • Optimized Equipment Efficiency: Enhanced overall equipment efficiency and minimized downtime.
  • Improved Data Management: Streamlined data collection, storage, and analysis processes.

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