Data-Driven Customer Experience Transformation: Optimize Your Omnichannel Approach - Paperback

by Mohamed Zaki (Author)

We are living in an experience-driven economy, where the customer's experience is paramount and even beloved brands risk losing market share due to a single negative customer experience.

In our technology-led, omnichannel environment, one of the biggest risks for brands is a lack of consistency in their customer experience across digital, physical and social channels. Data-driven Customer Experience Transformation provides insights and frameworks for creating delightful customer experiences across all three channels, by leveraging data and the latest technologies. Using cutting-edge research from the Cambridge Service Alliance, at the University of Cambridge, this book explores the importance of omnichannel customer-centricity across all sectors and takes you on a journey from setting your strategy, through designing and managing your customer experiences in real-time. It explores how AI can be used to identify opportunities and predict engagement, as well as how to use data to understand customer loyalty, forge stronger customer relationships and drive growth.

By combining academic rigour with real-world examples from leading companies such as Microsoft, KFC and Emirates Airline, this book is the ultimate guide to designing and implementing an exceptional data-driven customer experience across all channels, whether you work in B2B, B2C or public services.

Author Biography

Mohamed Zaki is Professor at the Institute for Manufacturing, Department of Engineering, University of Cambridge and Deputy Director of Cambridge Service Alliance, a research centre that brings together the world's leading firms and academics to address digital service transformation challenges. He has consulted and lectured for over 50 organisations, including Manchester United, Caterpillar and IKEA. He is course leader for the Data-Driven Design for Customer Experience (CX) online course at Cambridge University Press and Assessment.