Change Management for Supply‐Chain Transformation

Abstract

This chapter is an analytical report of the way in which data are generated, collected, processed, and used in the consumer device ecosystem. It starts with classifying the different types of devices, which produce varying streams of data, through the use of smartphones, wearables, and smart home systems, among others. It then moves on to discuss the techniques of data collection, which include passive, active, and automated, their technical mechanisms, merits, and consideration to privacy. It also categorizes the information gathered as data relating to behavioral, biometric, location, environmental, and transactional/interaction data, which provide distinctive information to be used by analytics. It also enters into data processing and storage update and storage infrastructures where it highlights its emphasis on edge computing and the cloud, data encryption, and the data lifecycle. The last section shows real-world applications as applied in various sectors, including healthcare, personalized marketing, environmental monitoring, and financial services, based on which the remarkable power of consumer-generated data can be observed. The chapter brings together both technical and ethical insights, to provide the reader with the comprehensive vision of the opportunities and issues related to the use of consumer device data in the context of innovation and decision-making purposes.