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this problem, Customer Data Platforms have come to the fore, offering companies a way to capture, unify, activate, and analyze customer data;
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This concise guide to Customer Data Platforms has been written to help marketers who are thinking about investing in one better understand;
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In Accelerating Customer Relationships, a world-renowned CRM expert demonstrates how to build knowledge infostructures that deliver;
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-leading standards. All examples are based on the production big data platform that powers Microsoft's customer growth operations. You'll learn;
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delivery platforms of digital marketing, e-mail, social, and mobile, to deploy that content to the customer. The nal topics in the book focus on;
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Harness the power of social media to predict customer behavior and improve sales Social media is the biggest source of Big Data. Because;
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points' or customer interfaces, is the large volumes of data that are generated. The data can come from the company's face-to-face interactions;
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spot sales trends, develop smarter marketing campaigns, and accurately predict customer loyalty. Data Driven Marketing For Dummies helps;
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. With chapters on data governance, MDM data domains, and customer-data case studies, this reference will appeal to programmers, chief;
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Data analytics is core to business and decision making. The rapid increase in data volume, velocity and variety offers both opportunities;
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Engaging customers has become an effective strategy of marketers for improving customer-brand relationships as customer engagement is a;
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Engaging customers has become an effective strategy of marketers for improving customer-brand relationships as customer engagement is a;
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, it calls for skills in Customer Data Integration (CDI). This is the best book that I have seen on the subject. Jill Dyche is to be;
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In today's fast growing digital world, the web, mobile, social networks and other digital platforms are producing enormous amounts of data;
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In today's fast growing digital world, the web, mobile, social networks and other digital platforms are producing enormous amounts of data;
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State-of-the-art analytic and quantitative methods for using big data to craft effective real-time, dynamic customer-centric marketing;
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derived from a survey. Key features: * Provides an integrated, case-studies based approach to analysing customer survey data. * Presents a general;
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The book offers a timely snapshot of neural network technologies as a significant component of big data analytics platforms. It promotes;
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, but also those for marketing, customer service, and technical support. This book presents topical research data in the study of customer;
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for delivering customer-focused services. * New coverage on listening to customers through research, big data, netnography and monitoring;
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Now, more than ever, customer experience plays a pivotal role in the success and longevity of a company. Based on rigorous scientific tools;
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Now, more than ever, customer experience plays a pivotal role in the success and longevity of a company. Based on rigorous scientific tools;
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corporate and compliance risks, and drive increased efficiency in customer data management practices, the book will guide you in successfully;
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(CSM). CSM entails gaining access to a customer base, assessing performance via survey design and data collection, analytical and graphing;
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Collect data and build trust. With the rise of data science and machine learning, companies are awash in customer data and powerful new;
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Collect data and build trust. With the rise of data science and machine learning, companies are awash in customer data and powerful new;
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