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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.
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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
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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
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