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Advanced Customer Analytics

Advanced Customer Analytics provides a clear guide to the specific analytical challenges faced by the retail sector. The book covers the;

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Win With Advanced Business Analytics

analytics vision mandate and benefits. Win with Advanced Analytics focuses on integrating multiple types of intelligence, such as web analytics;

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Customer And Business Analytics

Customer and Business Analytics: Applied Data Mining for Business Decision Making Using R explains and demonstrates, via the accompanying;

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Customer and Business Analytics

Customer and Business Analytics: Applied Data Mining for Business Decision Making Using R explains and demonstrates, via the accompanying;

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Insights, Innovation, and Analytics for Optimal Customer Engagement

, Innovation, and Analytics for Optimal Customer Engagement is an advanced reference book that covers the latest emerging research in customer;

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Insights, Innovation, and Analytics for Optimal Customer Engagement

, Innovation, and Analytics for Optimal Customer Engagement is an advanced reference book that covers the latest emerging research in customer;

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Key Business Analytics Travel Edition

Key Business Analytics will help managers apply tools to turn data into insights that help them better understand their customers, optimize;

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Analytics and Knowledge Management

The process of transforming data into actionable knowledge is a complex process that requires the use of powerful machines and advanced;

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Applied Advanced Analytics

consists of selected presentations at the 6th IIMA International Conference on Advanced Data Analysis, Business Analytics and Intelligence. The;

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AI and the Future of Banking

An industry-specific guide to the applications of Advanced Analytics and AI to the banking industry Artificial Intelligence (AI;

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Business Analytics Using SAS Enterprise Guide and SAS Enterprise Miner

business and statistics, lack the know-how to perform business analytics with advanced statistical software. Business Analytics Using SAS;

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Data Analytics in Marketing, Entrepreneurship, and Innovation

choice analysis for decision-making Marketing and customer analytics Developing new products Technopreneurship Disruptive versus incremental;

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Analytics in a Big Data World

create the potential to better understand, manage, and strategically exploiting the complex dynamics of customer behavior. Analytics in a Big;

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Data Science for Marketing Analytics

customer segmentation. As you make your way through the chapters, you'll explore ways to evaluate and select the best segmentation approach, and go;

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Analytics for Insurance

-specific guide to creating operational effectiveness, managing risk, improving financials, and retaining customers. Written from a non-IT;

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Innovating Analytics

A satisfying customer experience is the driver of any business's revenue growth. If you know how to measure and improve the customer;

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Data Analytics

Customer Behavior PatternsFurther Pattern Discovery In Advanced Analytics: Machine Learning

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  • Predictive Marketing

    marketing, from one-size-fits-all to one-on-one, and from marketing campaigns to real-time customer experiences. You'll learn how to use machine;

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    Customer Experience Analytics

    Through a series of case studies from a variety of industries to show how customer experience analytics (CEA) is reshaping business, this;

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    Practical Text Analytics

    In an age where customer opinion and feedback can have an immediate, major effect upon the success of a business or organization, marketers;

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    Handbook of Big Data Analytics: Applications in ICT, security and business analytics

    user and customer preferences, to allow organizations and businesses to make more informed decisions. These methods and technologies have;

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    Advanced Analytics with Transact-SQL

    Intermediate-Advanced user level;

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    Marketing Analytics

    forecasting, customer touchpoints modelling, and a new focus on customer loyalty. With accessible language throughout, methodologies are simplified to;

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    Marketing Analytics

    forecasting, customer touchpoints modelling, and a new focus on customer loyalty. With accessible language throughout, methodologies are simplified to;

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