Strengthening People Analytics through Wearable IOT Device for Real-Time Data Collection

The organizations are evolving through technological advancements and building a novel tech- culture by implementing the People Analytics, Machine Learning, IOT and Artificial Intelligence. The digitalization of both structured and unstructured data has helped organizations to predict future events across all the functional areas, mainly - Marketing, Operations, Finance, Productions, and Human resource management. People analytics is leveraging the Internet of Things (IoT) for improving business decisions related to acquisition, motivation, utilization, and retention of talented employees in the organizations. This paper attempts to study how organizations are leveraging technology and tools to radically transform the way HR and business leaders are using people data. In this paper, we have discussed a framework for real-time data analysis with the help of wearable IoT devices. We have considered wearable IOT technology supported wristband which will be enabled with movement sensors, GPS, accelerometer, heart rate related sensor, thermometer sensor for real time data collection. These sensors continuously collect data and can send to the nearby designed system as per the communication network. This data can give much-hidden insight about an employee. The paper suggests a model for the Human Resource Management system through wearable IoT device to provide unbiased and transparent results.