Becoming more customer-centric is a difficult task, but you can build an organization that delivers seamless, targeted, effective customer experiences. Analytics and advanced analytics such as machine learning (ML) are key to gaining customer insight and using this insight to drive positive customer experiences. Company success is often dependent on the customer experience.
Recently, TDWI has seen more organizations interested in collecting and analyzing Internet of Things (IoT) data to improve the customer experience. The data generated from IoT devices, applications, processes, people, and environments is high-volume, high-velocity data and includes video, images, and text in addition to traditional structured data. Organizations must be able to process this diverse IoT data to derive the predictive and prescriptive insights and real-time interactions that can drive competitive differentiation.
This checklist focuses on how IoT data and analytics can be used to help drive the customer experience.
Sponsored by SAS
Individual, Student, and Team memberships available.