Device Data Analytics

Industrial Products

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