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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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Win With Advanced Business Analytics

, customer feedback, competitive intelligence, customer behavior, and industry intelligence into your business practice. * Provides the essential;

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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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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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Customer Experience Analytics

book explores the technologies available to help businesses create a competitive advantage and real-time relationship with customers. This book;

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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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Business Analytics Using SAS Enterprise Guide and SAS Enterprise Miner

optimize marketing, risk, and customer relationship management, as well as business processes and human resources. Topics include descriptive;

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Getting Started with Business Analytics

when considering new types of data such as network and text data. The third part explores business analytics in depth, covering customer;

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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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Business Analytics

, customer satisfaction assessment, market and advertising research, and new product development and research. This volume will be useful to business;

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Computing Predictive Analytics, Business Intelligence, and Economics

-business and the Intelligent Web, CRM (customer relationship management), infrastructures, and more. The digitization implications of these many;

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Computing Predictive Analytics, Business Intelligence, and Economics

the Intelligent Web, CRM (customer relationship management), infrastructures, and more. The digitization implications of these many new;

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Data Science and Analytics for SMEs

customer loyalty, market segmentation, sales and revenue increase etc. more clearly. Data Science and Analytics for SMEs is particularly focused;

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Data Science and Analytics for SMEs

customer loyalty, market segmentation, sales and revenue increase etc. more clearly. Data Science and Analytics for SMEs is particularly focused on;

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Business Analytics: Progress On Applications In Asia Pacific

improve 'customer experience' has heightened the demand for data involving customers, providers and entire ecosystems.In response to the;

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Spatial Business

, and businesses need to know where to source, operate, and market to grow their customer base. Through location analytics and location;

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Data Science for Business With R

. The book features running case using an airline business's customer survey dataset to illustrate how to turn data in business decisions. The;

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Oracle Bi Applications Implementation &

across the enterprise to enable informed decision-making and streamlined business processes. Oracle Business Intelligence Applications: Deliver;

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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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Data Analytics

mining, data collection, big data analytics for business and business intelligence concepts.With this book, not only will you;

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Insights, Innovation, and Analytics for Optimal Customer Engagement

perfect predictor of organic growth. Aggressive sales promotions, advertising campaigns, rewards, discounts, and more may attract a customer, but;

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Insights, Innovation, and Analytics for Optimal Customer Engagement

perfect predictor of organic growth. Aggressive sales promotions, advertising campaigns, rewards, discounts, and more may attract a customer, but;

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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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Machine Learning and Big Data Analytics (Proceedings of International Conference on Machine Learning and Big Data Analytics (ICMLBDA) 2021)

, unknown correlations, market trends, customer preferences, and other useful information that can help organizations make more informed business;

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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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