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In this book, authors Dalton Cervo and Mark Allen show you how to implement Master Data Management (MDM) within your business model to create a more quality controlled approach. Focusing on techniques that can improve data quality management, lower data maintenance costs, reduce corporate and compliance risks, and drive increased efficiency in customer data management practices, the book will guide you in successfully managing and maintaining your customer master data. You'll find the expert guidance you need, complete with tables, graphs, and charts, in planning, implementing, and managing MDM.

A great way to track and log your customer and client information.✅ Easily find and view client customer information✅ Room for 100 clients✅ Large size for easy writing and viewing✅ Great for landscapers, hairstylists, salon owners, barbers, contractors, cleaners, massage therapists, nail salons and any other business that wants or needs to track their customer and client interactions.Never forget an important detail again.

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Packed with more than forty percent new and updated material, this edition shows business managers, marketing analysts, and data mining specialists how to harness fundamental data mining methods and techniques to solve common types of business problems Each chapter covers a new data mining technique, and then shows readers how to apply the technique for improved marketing, sales, and customer support The authors build on their reputation for concise, clear, and practical explanations of complex concepts, making this book the perfect introduction to data mining More advanced chapters cover such topics as how to prepare data for analysis and how to create the necessary infrastructure for data mining Covers core data mining techniques, including decision trees, neural networks, collaborative filtering, association rules, link analysis, clustering, and survival analysis

Ultimate Salesforce Data Cloud for Customer Experience 1.02

The leading introductory book on data mining, fully updated and revised! When Berry and Linoff wrote the first edition of Data Mining Techniques in the late 1990s, data mining was just starting to move out of the lab and into the office and has since grown to become an indispensable tool of modern business. This new edition--more than 50% new and revised-- is a significant update from the previous one, and shows you how to harness the newest data mining methods and techniques to solve common business problems. The duo of unparalleled authors share invaluable advice for improving response rates to direct marketing campaigns, identifying new customer segments, and estimating credit risk. In addition, they cover more advanced topics such as preparing data for analysis and creating the necessary infrastructure for data mining at your company.  Features significant updates since the previous edition and updates you on best practices for using data mining methods and techniques for solving common business problems Covers a new data mining technique in every chapter along with clear, concise explanations on how to apply each technique immediately Touches on core data mining techniques, including decision trees, neural networks, collaborative filtering, association rules, link analysis, survival analysis, and more Provides best practices for performing data mining using simple tools such as Excel Data Mining Techniques, Third Edition covers a new data mining technique with each successive chapter and then demonstrates how you can apply that technique for improved marketing, sales, and customer support to get immediate results.Exercises and data sets to accompany this book are available at jmp.com/en_us/academic/data-mining-techniques.html

Now, more than ever, customer experience plays a pivotal role in the success and longevity of a company. Based on rigorous scientific tools and global data, this book offers a simple but thorough guide on how to master the challenges of the market, and how to deliver superior performance through effective customer experience management.

This book introduces a customer-centered approach to business by showing how data gathered from people while they work can drive the definition of a product or process while supporting the needs of teams and their organizations. This is a practical, hands-on guide for anyone trying to design systems that reflect the way customers want to do their work. The authors developed Contextual Design, the method discussed here, through their work with teams struggling to design products and internal systems. In this book, you'll find the underlying principles of the method and how to apply them to different problems, constraints, and organizational situations.Contextual Design enables you to+ gather detailed data about how people work and use systems + develop a coherent picture of a whole customer population + generate systems designs from a knowledge of customer work+ diagram a set of existing systems, showing their relationships, inconsistencies, redundancies, and omissions

You can measure practically anything in the age of social media, but if you don’t know what you’re looking for, collecting mountains of data won’t yield a grain of insight. This non-technical guide shows you how to extract significant business value from big data with Ask-Measure-Learn, a system that helps you ask the right questions, measure the right data, and then learn from the results.Authors Lutz Finger and Soumitra Dutta originally devised this system to help governments and NGOs sift through volumes of data. With this book, these two experts provide business managers and analysts with a high-level overview of the Ask-Measure-Learn system, and demonstrate specific ways to apply social media analytics to marketing, sales, public relations, and customer management, using examples and case studies.

Customer Experience (CE) is becoming seen as a key component of business strategy, yet knowing the practical steps of what to do can be tricky. The Customer Experience Book helps you understand where you are now, what to do, and how to improve for your business.   From Customer Journey Mapping to using Big Data, this is the ultimate Customer Experience manual for businesses, whatever the size of your company. Split into two parts, you’ll discover:   · Why customer experience is so important in business – and how it applies to you · How to use customer experience tools in your business – step by step guides on how to use CX metrics and how to learn from them   Alongside the theory and practical how-to guidance, there will be a range of examples of ‘thinking differently’ about everyday situations to engage the reader. Plus, with case studies from International Companies, readers will discover not only what works well but also the hard lessons they have learned.   The Customer Experience Book shows you how to understand, measure and improve customer experience in your business, whatever your level.

This book provides practical guidance to the contemporary manager, stressing the critical thinking and problem solving skills required to navigate today's complex business environments. This edition also stresses the role of technology and the dramatic rise and importance of social media and data driven decision making. Framed around the functional areas of management-Planning, Organizing, Staffing, Influencing, and Controlling--the authors continue to emphasize the need for organizations and their people to be guided by effective leadership and continuous improvement. ? Each chapter includes a series of box inserts providing a deeper insight into specialized areas of management. Global Applications features the successful application of one or more of a chapter's concepts from the practice of management in non-U.S. situations. Ethical Management boxes showcase managers facing decisions that contain a variety of issues and consequences for themselves and others. Valuing Diversity and Inclusion boxes depict unique ways in which organizations show appreciation for their diverse employees. Managing Social Media boxes focus on managers' use of technology in various aspects of management, as well as its impact on the manager and the organization.

Caveat venditor let the seller bewareWhile marketers look for more ways to get personal with customers, including new tricks with big data,” customers are about to get personal in their own ways, with their own tools. Soon consumers will be able to: Control the flow and use of personal data Build their own loyalty programs Dictate their own terms of service Tell whole markets what they want, how they want it, where and when they should be able to get it, and how much it should costAnd they will do all of this outside of any one vendor’s silo. This new landscape we’re entering is what Doc Searls calls The Intention Economy one in which demand will drive supply far more directly, efficiently, and compellingly than ever before. In this book he describes an economy driven by consumer intent, where vendors must respond to the actual intentions of customers instead of vying for the attention of many.New customer tools will provide the engine, with VRM (Vendor Relationship Management) providing the consumer counterpart to vendors’ CRM (Customer Relationship Management) systems. For example, imagine being able to change your address once for every company you deal with, or combining services from multiple companies in real time, in your own ways all while keeping an auditable accounting of every one of your interactions in the marketplace. These tantalizing possibilities and many others are introduced in this book.As customers become more independent and powerful, and the Intention Economy emerges, only vendors and organizations that are ready for the change will survive, and thrive. Where do you stand?

Advanced Customer Analytics provides a clear guide to the specific analytical challenges faced by the retail sector. The book covers the nature and scale of data obtained in transactions, relative proximity to the consumer and the need to monitor customer behaviour across multiple channels. The book advocates a category management approach, taking into account the need to understand the consumer mindset through elasticity modelling and discount strategies, as well as targeted marketing and loyalty design.A practical, no-nonsense approach to complex scenarios is taken throughout, breaking down tasks into easily digestible steps. The use of a fictional retail analyst 'Scott' helps to provide accessible examples of practice. Advanced Customer Analytics does not skirt around the complexities of this subject but offers conceptual support to steer retail marketers towards making the right choices for analysing their data.

Advanced Customer Analytics provides a clear guide to the specific analytical challenges faced by the retail sector. The book covers the nature and scale of data obtained in transactions, relative proximity to the consumer and the need to monitor customer behaviour across multiple channels. The book advocates a category management approach, taking into account the need to understand the consumer mindset through elasticity modelling and discount strategies, as well as targeted marketing and loyalty design.A practical, no-nonsense approach to complex scenarios is taken throughout, breaking down tasks into easily digestible steps. The use of a fictional retail analyst 'Scott' helps to provide accessible examples of practice. Advanced Customer Analytics does not skirt around the complexities of this subject but offers conceptual support to steer retail marketers towards making the right choices for analysing their data.

Net Worth explains how businesses can benefit by forming new partnerships with customers in matters of information capture and privacy. Consumers are losing patience with companies that use personal data about buying habits, income levels, and credit card usage for corporate gain. What consumers need is a new kind of business--an information intermediary or infomediary--to protect customers' privacy while maximizing their information assets. Companies playing the infomediary role will become agents of customer information, marketing such data to businesses on consumers' behalf and protecting consumer privacy. John Hagel, co-author of the bestselling Net Gain, teams with Marc Singer to lay out the underlying economic and competitive dynamics that will foster the emerging business of the infomediary. Net Worth identifies the convergence of commerce, technology, and consumer frustration as the incubator for the infomediary business, as consumers seek to release their personal information only when they can receive value in exchange for their data.

This book provides practical guidance to the contemporary manager, stressing the critical thinking and problem solving skills required to navigate today's complex business environments. This edition also stresses the role of technology and the dramatic rise and importance of social media and data driven decision making. Framed around the functional areas of management-Planning, Organizing, Staffing, Influencing, and Controlling--the authors continue to emphasize the need for organizations and their people to be guided by effective leadership and continuous improvement. ? Each chapter includes a series of box inserts providing a deeper insight into specialized areas of management. Global Applications features the successful application of one or more of a chapter's concepts from the practice of management in non-U.S. situations. Ethical Management boxes showcase managers facing decisions that contain a variety of issues and consequences for themselves and others. Valuing Diversity and Inclusion boxes depict unique ways in which organizations show appreciation for their diverse employees. Managing Social Media boxes focus on managers' use of technology in various aspects of management, as well as its impact on the manager and the organization.

Now, more than ever, customer experience plays a pivotal role in the success and longevity of a company. Based on rigorous scientific tools and global data, this book offers a simple but thorough guide on how to master the challenges of the market, and how to deliver superior performance through effective customer experience management.

A goldmine of valuable tools for data modelers! Data modelers render raw data-names, addresses, and sales totals, for instance-into information such as customer profiles and seasonal buying patterns that can be used for making critical business decisions. This book brings together thirty of the most effective tools for solving common modeling problems. The author provides an example of each tool and describes what it is, why it is needed, and how it is generally used to model data for both databases and data warehouses, along with tips and warnings. Blank sample copies of all worksheets and checklists described are provided in an appendix. Companion Web site features updates on the latest tools and techniques, plus links to related sites offering automated tools.

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