This addition to the Data Science Series introduces the principles of data science and the R language to the singular needs of water professionals. The book provides unique data and examples relevant to managing water utility and is sourced from the author’s extensive experience. Data Science for Water Utilities: Data as a Source of Value is an applied, practical guide that shows water professionals how to use data science to solve urban water management problems. Content develops through four case studies. The first looks at analysing water quality to ensure public health. The second considers customer feedback. The third case study introduces smart meter data. The guide flows easily from basic principles through code that, with each case study, increases in complexity. The last case study analyses data using basic machine learning. Readers will be familiar with analysing data but do not need coding experience to use this book. The title will be essential reading for anyone seeking a practical introduction to data science and creating value with R.
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.
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.
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.
This addition to the Data Science Series introduces the principles of data science and the R language to the singular needs of water professionals. The book provides unique data and examples relevant to managing water utility and is sourced from the author’s extensive experience. Data Science for Water Utilities: Data as a Source of Value is an applied, practical guide that shows water professionals how to use data science to solve urban water management problems. Content develops through four case studies. The first looks at analysing water quality to ensure public health. The second considers customer feedback. The third case study introduces smart meter data. The guide flows easily from basic principles through code that, with each case study, increases in complexity. The last case study analyses data using basic machine learning. Readers will be familiar with analysing data but do not need coding experience to use this book. The title will be essential reading for anyone seeking a practical introduction to data science and creating value with R.
Doctoral dissertation on the application of Service-Dominant Logic to the marketing of water utilities. Due to the monopolistic nature of the tap water services, limited marketing scholarship exists to account for the specific characteristics of water utilities. Service-Dominant Logic is an influential paradigm in marketing, but there is little research on its applicability to managerial practice, especially concerning the marketing of products, such as tap water. This dissertation develops a framework for water utility marketing based on the Service-Dominant Logic (S-D Logic) paradigm. These objectives are achieved through an anthology of four thematically related studies about water utility marketing, guided by the axioms of S-D Logic. The first two studies explore the activities of water utilities from a macromarketing and services marketing perspective, corroborated by interviews with customer advocacy organisations and regulators, and a content analysis of industry literature. The third study analyses employee attitudes towards customer-centric service provision. The last study introduces the concept of Service-Dominant Quality, a Service Quality model based on the axioms of S-D Logic. The findings of these studies are synthesised to review the applicability of S-D Logic to marketing practice.The exploratory research defines a Marketing Mix for tap water services. Analysis of employee data provides insight into the relationships between engineers and marketers in water utilities. The SERVAQUA survey instrument was developed to measure Service Quality for tap water, based on S-D Logic. Synthesising these findings enhances understanding of how Service-Dominant Logic can be applied to a managerial context.The main contribution to theory is advancing S-D Logic as an informal system of logic to expand the paradigm into practice. The S-D Logic framework is modified to provide a better fit to the particular characteristics of marketing products. Main contributions to practice are a framework to implement marketing in water utilities, including an industry-specific Marketing Mix and Service Quality survey instrument.
When watching a magician the question that is most pressing on people's minds is how did he do it? This question is not the only one that can be asked of a magic performance. A psychologist might ask why it is possible that the mind can be deceived, occupational therapists are interested in how performing magic tricks can help people with physical disabilities, and sociologists research the subculture of magicians. This book explores some of the answers to the questions that scholars from different fields of science have asked about the performances of magicians. For magicians, this book provides new perspectives on their performance art. For people with only a passive interest in magic, this book offers an insight into this quaint performance art, surrounded by secrecy and cliches.
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 will help us customize your experience to showcase the most relevant content to your age group
Please select from below
Login
Not registered?
Sign up
Already registered?
Success – Your message will goes here
We'd love to hear from you!
Thank you for visiting our website. Would you like to provide feedback on how we could improve your experience?
This site does not use any third party cookies with one exception — it uses cookies from Google to deliver its services and to analyze traffic.Learn More.