Device Data Analytics

Device Data Analytics

Data collected from enterprise devices helps to mine for insights that can be acted upon in real-time by the work force. In addition, data from sensors such as RFID and NFC tags that are tagged to enterprise assets also help to generate actionable insights.

  • Predictive Maintenance
    • Complex event processing system
    • Device diagnostic data from critical battery, RFID scanner and Wi-Fi events
    • Battery events
      • Battery discharge rate, number of battery charging cycles, battery levels, battery statistics
      • Wi-Fi events – Wi-Fi signal strength, channel information
      • Service history data of devices
      • Insights generated
        • Correlation of defects reported from the field to different device characteristics and external factors
        • Advance warning to the user about battery failure and replacement trigger
        • Advance alert to the user about RFID Scanner failure and service trigger
        • Advance alert to the user about Wi-Fi interface of handheld (E.g. TC 70) failure and service trigger
    • Smart Decision Support System
      • Improve the effectiveness of customer support system
      • Usage of graph analytics to develop a smart decision support system to manage customer complaints about enterprise devices
      • Based on historical support request, develop a graph representation on the support requests received and the resolution method
      • Usage of customer complaint iterations to build a path in the graph of nodes and edges
      • Using the smart decision support system, find a shortest path to solve a specific customer problem, given the issue they report first

     

    Krishna Kishore

    Krishna Kishore

    Subject Matter Expert

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