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Customer And Business Analytics Pdf

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It seems that you're in Germany. We have a dedicated site for Germany. This two-volume handbook presents a collection of novel methodologies with applications and illustrative examples in the areas of data-driven computational social sciences.

BUSINESS ANALYTICS

It seems that you're in Germany. We have a dedicated site for Germany. This two-volume handbook presents a collection of novel methodologies with applications and illustrative examples in the areas of data-driven computational social sciences.

Throughout this handbook, the focus is kept specifically on business and consumer-oriented applications with interesting sections ranging from clustering and network analysis, meta-analytics, memetic algorithms, machine learning, recommender systems methodologies, parallel pattern mining and data mining to specific applications in market segmentation, travel, fashion or entertainment analytics.

A must-read for anyone in data-analytics, marketing, behavior modelling and computational social science, interested in the latest applications of new computer science methodologies.

The chapters are contributed by leading experts in the associated fields. The chapters cover technical aspects at different levels, some of which are introductory and could be used for teaching. Some chapters aim at building a common understanding of the methodologies and recent application areas including the introduction of new theoretical results in the complexity of core problems.

Business and marketing professionals may use the book to familiarize themselves with some important foundations of data science. The work is a good starting point to establish an open dialogue of communication between professionals and researchers from different fields. Together, the two volumes present a number of different new directions in Business and Customer Analytics with an emphasis in personalization of services, the development of new mathematical models and new algorithms, heuristics and metaheuristics applied to the challenging problems in the field.

Sections of the book have introductory material to more specific and advanced themes in some of the chapters, allowing the volumes to be used as an advanced textbook.

Techniques on Memetic Algorithms and their applications to Business Analytics and Data Science are surveyed in the second volume; applications in Team Orienteering, Competitive Facility-location, and Visualization of Products and Consumers are also discussed.

The second volume also includes an introduction to Meta-Analytics, and to the application areas of Fashion and Travel Analytics. Overall, the two-volume set helps to describe some fundamentals, acts as a bridge between different disciplines, and presents important results in a rapidly moving field combining powerful optimization techniques allied to new mathematical models critical for personalization of services.

Academics and professionals working in the area of business anyalytics, data science, operations research and marketing will find this handbook valuable as a reference. She holds a B. Com in Economics, a B. Here she conducted interdisciplinary research with computer scientists in the field of computational social science and she was in charge of the centre's outgoing communications to the general and online community and engaged with private donors of the centre.

Natalie's research publications encompass computational social science, marketing, online consumer behaviour, social media, clustering, network analytics and related areas. In her consultancy work she focuses on digital transformation projects, AI and analytics projects and implementations in the retail and telecom sectors. JavaScript is currently disabled, this site works much better if you enable JavaScript in your browser. Computer Science Information Systems and Applications.

Free Preview. Buy eBook. Buy Hardcover. FAQ Policy. About this book This two-volume handbook presents a collection of novel methodologies with applications and illustrative examples in the areas of data-driven computational social sciences.

Show all. Pablo Moscato has made several key advances in personalised medicine over the past 27 years of his career including identifying important biomarkers and hallmarks of cancer and epilepsy. Pablor Moscato has won several prestigious awards including the best paper award at the First European Workshop in Evolutionary Computation and Bioinformatics and has also been an invited keynote speaker at numerous scientific conferences including the Metaheuristics International Conference in Singapore and the Congress of the Chilean Institute of Operations Research in He has successfully supervised more than 13 PhD candidates to completion and is currently supervising another 12 candidates enrolled at the University of Newcastle.

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Business and Consumer Analytics: New Ideas

It seems that you're in Germany. We have a dedicated site for Germany. R for Business Analytics looks at some of the most common tasks performed by business analysts and helps the user navigate the wealth of information in R and its packages. With this information the reader can select the packages that can help process the analytical tasks with minimum effort and maximum usefulness. This book is aimed to help you kick-start with analytics including chapters on data visualization, code examples on web analytics and social media analytics, clustering, regression models, text mining, data mining models and forecasting. The book tries to expose the reader to a breadth of business analytics topics without burying the user in needless depth. The included references and links allow the reader to pursue business analytics topics.

Summary: Business Analytics: Communicating with Numbers was written from the ground up to prepare students to understand, manage, and visualize the data, apply the appropriate tools, and communicate the findings and their relevance. Unlike other texts that simply repackage statistics and traditional operations research topics, this text seamlessly threads the topics of data wrangling, descriptive analytics, predictive analytics, and prescriptive analytics into a cohesive whole. These features help students develop skills in articulating the business value of analytics by communicating insights gained from a non-technical standpoint. In addition, the text contains an abundance of exercises and applications that will convince students that math is useful. Consistent with our belief in continuous quality improvement, this edition has been critically revised, updated, and rewritten to reflect new concepts, new examples, and recent "best practices. An accessible approach to learning through clear writing and practical pedagogy has become the hallmark of "Microelectronics: Circuit Analysis and Design" by Donald Neamen.


Customer and Business Analytics: Applied Data Mining for Business Decision International Standard Book Number (eBook - PDF).


Business and Consumer Analytics: New Ideas

Traditional Business Intelligence, capital letters and all, originally emerged in the s as a system of sharing information across organizations. It further developed in the s alongside computer models for decision-making and turning data into insights before becoming specific offering from BI teams with IT-reliant service solutions. Modern BI solutions prioritize flexible self-service analysis, governed data on trusted platforms, empowered business users, and speed to insight.

Business and Consumer Analytics: New Ideas

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Skip to search form Skip to main content You are currently offline. Some features of the site may not work correctly. Customer and Business Analytics: Applied Data Mining for Business Decision Making Using R explains and demonstrates, via the accompanying open-source software, how advanced analytical tools can address various business problems. It also gives insight into some of the challenges faced when deploying these tools.

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