This case study outlines the development and implementation of an Analog Data Logging Mobile App for a large facilities management company, serving enterprise buildings with engineering services. With over 12,000 employees, the company required a digital solution to streamline the process of logging critical equipment data, including UPS, generators, batteries, and more, within large enterprise buildings.

Problem Statement:

The facilities management company faced challenges with the manual process of logging equipment data, which involved employees recording data hourly in logbooks and then manually transcribing it into Excel files for submission to their customers. This process was not only time-consuming but also prone to errors and delays, leading to inefficiencies in data management and analysis.


  • Manual Data Entry:
    The manual logging of critical equipment data into logbooks was time-consuming and error-prone.
  • Data Translation:
    Transcribing data from logbooks to Excel files introduced the risk of errors and delays in data submission to customers.
  • Data Analysis:
    Lack of real-time data analysis capabilities hindered the company’s ability to identify equipment performance issues promptly.
  • Process Adherence: Ensuring adherence to logging schedules and identifying missed or delayed logs was challenging without automated alerts and notifications.


  • Pirl Platform Integration:
    The company leveraged the Pirl platform to develop a mobile app with built-in QR code and NFC tag scanning capabilities, allowing employees to log equipment data digitally.
  • Mobile App Development:
    The mobile app enabled employees to scan QR codes or NFC tags attached to equipment, accessing digital forms to input equipment data directly.
  • Cloud Infrastructure: The Pirl platform provided cloud infrastructure to receive, store, and analyze data uploaded from the mobile app, enabling real-time data analysis and historical data storage.
  • Alarm Generation:
    Alerts were generated based on deviations in equipment data, ensuring prompt identification of performance issues and adherence to logging schedules.



  • Streamlined Data Logging:
    The Analog Data Logging Mobile App streamlined the process of logging equipment data, eliminating manual transcription errors and reducing data submission delays.
  • Real-Time Data Analysis:
    The Pirl platform enabled real-time analysis of equipment data, allowing the company to identify performance deviations promptly and take corrective actions.
  • Process Adherence:
    Automated alerts for missed or delayed logs improved process adherence, ensuring timely and accurate data logging.
  • Historical Data Insights: Historical data analysis provided valuable insights into equipment performance trends, facilitating proactive maintenance and optimization strategies.




  • Improved Efficiency:
    The digitalization of the data logging process saved time and resources, allowing employees to focus on more value-added tasks.
  • Enhanced Accuracy: The elimination of manual data entry and transcription errors improved the accuracy and reliability of equipment data.
  • Proactive Maintenance:
    Real-time data analysis and alerts enabled proactive identification and resolution of equipment performance issues, minimizing downtime and improving operational efficiency.
  • Enhanced Customer Satisfaction:
    Timely and accurate submission of equipment data to customers improved transparency and trust, enhancing overall customer satisfaction.


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