Customer Experience Management For Water Utilities

Customer Experience Management for Water Utilities presents a practical framework for water utilities to become more focussed on their customers. This framework is founded on Service-Dominant Logic, a contemporary theory of marketing that explains value creation as a process of co-creation between the customer and the service provider. Standard models for marketing do not apply to monopolistic water utilities without modification. The first two chapters develop a marketing mix tailored to water utilities to assist them with providing customer-centric services. The water utility marketing mix includes the value proposition, internal marketing, service quality and customer relationships. he book discusses the four dimensions of the marketing mix. Chapter three presents a template for developing value propositions to assist water utilities in positioning their service. This model is based on the needs and wants of individual customer segments and the type of service. Chapter four discusses internal marketing, activities designed to improve the way utilities add value for customers. This chapter also analyses potential tensions between engineering and science-oriented employees and proposes methods to resolve these tensions. The final chapters describe customer relationships from both a theoretical and practical perspective. The customer experience is a complex phenomenon that is difficult to quantify. The book provides a method to measure the experience of the customer, based on service quality theory and psychometric statistics. Customer Experience Management for Water Utilities is one of the first books that discusses urban water supply from a marketing perspective. This perspective provides a unique insight into an industry which is often dominated by technological concerns. This book is a valuable resource for Water Utility Managers and Regulators, as well as for Marketing Consultants seeking to assist water utilities to become more customer focussed.

This manual serves as both a strategic training experience and a tool for achieving quality customer service at your water utility. Topics covered include communication strategies, automated technologies, complaint resolution, managing conflict, and more. It's informative and easy to understand format allow for quick results.

Resilient Water Services and Systems: The Foundation of Well-Being provides an overarching framework on water and sanitation services and how they are coping with resilience, aging infrastructure and climate change. The Editors present conceptual evidence about resilience backed by case studies that demonstrate resilience in practice. There are 13 case studies, from Asia, Africa, Europe and North and South America, providing informative perspectives from around the world. This is a timely collection of historic and contemporary evidence that will have increasing relevance in the coming decades. This volume will be of relevance to both scholars and practitioners. “Resilient water services are the key to water security across the world. Sustaining them is a challenging task in high-income countries where aging infrastructure is a critical issue, and in low-income countries where new infrastructure is needed and ability-to-pay is a more formidable barrier to success. The editors have compiled a succinct analysis and assembled case studies that cover diverse regions and contexts. From this book the reader will gain a wealth of knowledge about water services, as well as rich vicarious experiences from the cases.

Water resource management consists of planning, developing, distributing and managing the available water resources. With increasing population growth, urbanization, and climate change, water management becomes more demanding. This book presents innovative solutions for present as well as future challenges we are facing in water conservation and water quality protection. The 2nd Ed. entails new figures, percentages, latest information, trends, and all case studies updated with new ones. Provides a green perspective on how water is and can be used. The update will entail new figures, percentages, latest information, trends, and all case studies updated with new ones.

In his previous groundbreaking book with John Ivens, Colin Shaw looked at the development of the conceptual framework for the customer experience together with examples of best practice and strategies for implementation. As predicted the customer experience has become the next competitive battleground. The current book will explore the subject in more depth with new research and best practice and show companies and organizations how to identify where they are and how to revolutionize their customer experience.

Take the strategic and systematic approach to analyze data to solve business problems Key FeaturesGain detailed information about the theory of data scienceAugment your coding knowledge with practical data science techniques for efficient data analysis Learn practical ways to strategically and systematically use dataBook Description Principles of Strategic Data Science is created to help you join the dots between mathematics, programming, and business analysis. With a unique approach that bridges the gap between mathematics and computer science, this book takes you through the entire data science pipeline. The book begins by explaining what data science is and how organizations can use it to revolutionize the way they use their data. It then discusses the criteria for the soundness of data products and how to best visualize information. As you progress, you’ll discover the strategic aspects of data science by learning the five-phase framework that enables you to enhance the value you extract from data. The final chapter of the book discusses the role of a data science manager in helping an organization take the data-driven approach. By the end of this book, you’ll have a good understanding of data science and how it can enable you to extract value from your data. What you will learnGet familiar with the five most important steps of data scienceUse the Conway diagram to visualize the technical skills of the data science teamUnderstand the limitations of data science from a mathematical and ethical perspectiveGet a quick overview of machine learningGain insight into the purpose of using data science in your workUnderstand the role of data science managers and their expectationsWho this book is for This book is ideal for data scientists and data analysts who are looking for a practical guide to strategically and systematically use data. This book is also useful for those who want to understand in detail what is data science and how can an organization take the data-driven approach. Prior programming knowledge of Python and R is assumed.

"Before the UN Sustainable Development Goals: A Historical Companion enables professionals, scholars and students engaged with the SDGs to develop a richer understanding of the legacies and historical complexities of the policy fields behind each goal. Each of the seventeen chapters tells the decades or centuries-old backstory of one SDG, including an examination of how the SDG problem impacted past societies and the various attempts at understanding and addressing it. Collectively, the chapters reveal the multiple and often interwoven histories that have shaped the challenges later encompassed in the SDGs. The book's chapters, written in an accessible style, are authored by international experts from multiple disciplines. The book is an indispensable resource and a vital foundation for understanding the past's indelible footprint on our contemporary sustainable development challenges"--