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Business Analytics, Vidgen Richard


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Цена: 7406.00р.
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Автор: Vidgen Richard
Название:  Business Analytics
ISBN: 9781352007251
Издательство: Springer
Классификация:





ISBN-10: 1352007258
Обложка/Формат: Paperback
Страницы: 430
Вес: 0.93 кг.
Дата издания: 09.10.2019
Серия: Economics/Business/Finance
Язык: English
Издание: 1st ed. 2019
Иллюстрации: 20 tables, color; 20 illustrations, color; 187 illustrations, black and white; vii, 441 p. 207 illus., 20 illus. in color.
Размер: 261 x 203 x 28
Читательская аудитория: Professional & vocational
Ключевые слова: Market research,Business mathematics & systems,Databases,Data mining, COMPUTERS / Databases / Data Mining,COMPUTERS / Databases / General,BUSINESS & ECONOMICS / Industries / Computers & Information Technology,BUSINESS & ECONOMICS / Marketing / Research
Подзаголовок: A management approach
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Германии
Описание: This exciting new textbook offers an accessible, business-focused overview of the key theoretical concepts underpinning modern data analytics. It provides engaging and practical advice on using the key software tools, including SAS Visual Analytics, R and DataRobot, that are used in organisations to help make effective data-driven decisions. Combining theory with hands-on practical examples, this essential text includes cutting edge coverage of new areas of interest including social media analytics, design thinking and the ethical implications of using big data. A wealth of learning features including exercises, cases, online resources and data sets help students to develop analytic problem-solving skills.

With its management perspective on analytics and its coverage of a range of popular software tools, this is an ideal essential text for upper-level undergraduate, postgraduate and MBA students. It is also ideal for practitioners wanting to understand the broader organisational context of big data analysis and to engage critically with the tools and techniques of business analytics.

Accompanying online resources for this title can be found at bloomsburyonlineresources.com/business-analytics. These resources are designed to support teaching and learning when using this textbook and are available at no extra cost.

Дополнительное описание: Introduction.- Business Analytics Development.- Data and Information.- Data Exploration.- Clustering and Segmentation.- Multiple Linear Regression.- Classification and Regression Trees (CART).- Visualization and Communication.- Automated Machine Learning.



The Analytics Lifecycle Toolkit: A Practical Guide for an Effective Analytics Capability

Автор: Gregory S. Nelson
Название: The Analytics Lifecycle Toolkit: A Practical Guide for an Effective Analytics Capability
ISBN: 1119425069 ISBN-13(EAN): 9781119425069
Издательство: Wiley
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Цена: 6178.00 р.
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Описание: An evidence-based organizational framework for exceptional analytics team results The Analytics Lifecycle Toolkit provides managers with a practical manual for integrating data management and analytic technologies into their organization.

Guerrilla Analytics,

Автор: Enda Ridge
Название: Guerrilla Analytics,
ISBN: 0128002182 ISBN-13(EAN): 9780128002186
Издательство: Elsevier Science
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Цена: 5557.00 р.
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Описание:

Doing data science is difficult. Projects are typically very dynamic with requirements that change as data understanding grows. The data itself arrives piecemeal, is added to, replaced, contains undiscovered flaws and comes from a variety of sources. Teams also have mixed skill sets and tooling is often limited. Despite these disruptions, a data science team must get off the ground fast and begin demonstrating value with traceable, tested work products. This is when you need Guerrilla Analytics.

In this book, you will learn about:

The Guerrilla Analytics Principles: simple rules of thumb for maintaining data provenance across the entire analytics life cycle from data extraction, through analysis to reporting.

Reproducible, traceable analytics: how to design and implement work products that are reproducible, testable and stand up to external scrutiny.

Practice tips and war stories 90 practice tips and 16 war stories based on real-world project challenges encountered in consulting, pre-sales and research.

Preparing for battle: how to set up your team's analytics environment in terms of tooling, skill sets, workflows and conventions.

Data gymnastics: over a dozen analytics patterns that your team will encounter again and again in projects

  • The Guerrilla Analytics Principles: simple rules of thumb for maintaining data provenance across the entire analytics life cycle from data extraction, through analysis to reporting
  • Reproducible, traceable analytics: how to design and implement work products that are reproducible, testable and stand up to external scrutiny
  • Practice tips and war stories: 90 practice tips and 16 war stories based on real-world project challenges encountered in consulting, pre-sales and research
  • Preparing for battle: how to set up your team's analytics environment in terms of tooling, skill sets, workflows and conventions
  • Data gymnastics: over a dozen analytics patterns that your team will encounter again and again in projects
Reshaping Society through Analytics, Collaboration, and Decision Support

Автор: Lakshmi S. Iyer; Daniel J. Power
Название: Reshaping Society through Analytics, Collaboration, and Decision Support
ISBN: 331911574X ISBN-13(EAN): 9783319115740
Издательство: Springer
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Цена: 13974.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Data Analytics Applications in Gaming and Entertainment

Автор: Gunter Wallner
Название: Data Analytics Applications in Gaming and Entertainment
ISBN: 1138104434 ISBN-13(EAN): 9781138104433
Издательство: Taylor&Francis
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Цена: 16078.00 р.
Наличие на складе: Поставка под заказ.

Описание: Over the last decade big data and data mining has received growing interest and importance in game production to process and draw actionable insights from large volumes of player-related data in order to inform game design, to ensure customer satisfaction, to maximize revenues, and to drive technical innovation.

Analytics in a big data world

Автор: Baesens Bart
Название: Analytics in a big data world
ISBN: 1118892704 ISBN-13(EAN): 9781118892701
Издательство: Wiley
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Цена: 6178.00 р.
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Описание: The guide to targeting and leveraging business opportunities using big data & analytics By leveraging big data & analytics, businesses create the potential to better understand, manage, and strategically exploiting the complex dynamics of customer behavior.

Healthcare Data Analytics

Автор: Reddy Chandan K.
Название: Healthcare Data Analytics
ISBN: 1482232111 ISBN-13(EAN): 9781482232110
Издательство: Taylor&Francis
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Цена: 19140.00 р.
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Описание:

At the intersection of computer science and healthcare, data analytics has emerged as a promising tool for solving problems across many healthcare-related disciplines. Supplying a comprehensive overview of recent healthcare analytics research, Healthcare Data Analytics provides a clear understanding of the analytical techniques currently available to solve healthcare problems.

The book details novel techniques for acquiring, handling, retrieving, and making best use of healthcare data. It analyzes recent developments in healthcare computing and discusses emerging technologies that can help improve the health and well-being of patients.

Written by prominent researchers and experts working in the healthcare domain, the book sheds light on many of the computational challenges in the field of medical informatics. Each chapter in the book is structured as a "survey-style" article discussing the prominent research issues and the advances made on that research topic. The book is divided into three major categories:

  • Healthcare Data Sources and Basic Analytics - details the various healthcare data sources and analytical techniques used in the processing and analysis of such data
  • Advanced Data Analytics for Healthcare - covers advanced analytical methods, including clinical prediction models, temporal pattern mining methods, and visual analytics
  • Applications and Practical Systems for Healthcare - covers the applications of data analytics to pervasive healthcare, fraud detection, and drug discovery along with systems for medical imaging and decision support

Computer scientists are usually not trained in domain-specific medical concepts, whereas medical practitioners and researchers have limited exposure to the data analytics area. The contents of this book will help to bring together these diverse communities by carefully and comprehensively discussing the most relevant contributions from each domain.

Big Data Analytics for Sensor-Network Collected Intelligence

Автор: Hsu, Hui-Huang
Название: Big Data Analytics for Sensor-Network Collected Intelligence
ISBN: 0128093935 ISBN-13(EAN): 9780128093931
Издательство: Elsevier Science
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Цена: 15159.00 р.
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Описание:

Big Data Analytics for Sensor-Network Collected Intelligence explores state-of-the-art methods for using advanced ICT technologies to perform intelligent analysis on sensor collected data. The book shows how to develop systems that automatically detect natural and human-made events, how to examine people's behaviors, and how to unobtrusively provide better services.

It begins by exploring big data architecture and platforms, covering the cloud computing infrastructure and how data is stored and visualized. The book then explores how big data is processed and managed, the key security and privacy issues involved, and the approaches used to ensure data quality.

In addition, readers will find a thorough examination of big data analytics, analyzing statistical methods for data analytics and data mining, along with a detailed look at big data intelligence, ubiquitous and mobile computing, and designing intelligence system based on context and situation.

Indexing: The books of this series are submitted to EI-Compendex and SCOPUS


  • Contains contributions from noted scholars in computer science and electrical engineering from around the globe
  • Provides a broad overview of recent developments in sensor collected intelligence
  • Edited by a team comprised of leading thinkers in big data analytics
Analytics and Modern Warfare

Автор: M. Taillard
Название: Analytics and Modern Warfare
ISBN: 1349484296 ISBN-13(EAN): 9781349484294
Издательство: Springer
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Цена: 12157.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book details very simply and for even the most novice of potential analysts not only how to perform analytics which describe what is happening, predict what is going to happen, and optimize responses, but also places these analytics in the context of proactive strategy development.

Visual Analytics of Movement

Автор: Gennady Andrienko; Natalia Andrienko; Peter Bak; D
Название: Visual Analytics of Movement
ISBN: 3662507285 ISBN-13(EAN): 9783662507285
Издательство: Springer
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Цена: 13974.00 р.
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Описание: This book introduces a general conceptual framework for the analysis of movement data from various sources. It illustrates all algorithms and methods with the help of sample applications from various domains.

Style and Statistics: The Art of Retail Analytics

Автор: Bullard Brittany
Название: Style and Statistics: The Art of Retail Analytics
ISBN: 1119270316 ISBN-13(EAN): 9781119270317
Издательство: Wiley
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Цена: 6018.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: A non-technical guide to leveraging retail analytics for personal and competitive advantage Style & Statistics is a real-world guide to analytics in retail.

Predictive Analytics, Data Mining and Big Data

Автор: S. Finlay
Название: Predictive Analytics, Data Mining and Big Data
ISBN: 1349478687 ISBN-13(EAN): 9781349478682
Издательство: Springer
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Цена: 4890.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This in-depth guide provides managers with a solid understanding of data and data trends, the opportunities that it can offer to businesses, and the dangers of these technologies. Written in an accessible style, Steven Finlay provides a contextual roadmap for developing solutions that deliver benefits to organizations.

Big data analytics with r and hadoop

Автор: Prajapati, Vignesh
Название: Big data analytics with r and hadoop
ISBN: 178216328X ISBN-13(EAN): 9781782163282
Издательство: Неизвестно
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Цена: 6896.00 р.
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Описание:

If you're an R developer looking to harness the power of big data analytics with Hadoop, then this book tells you everything you need to integrate the two. You'll end up capable of building a data analytics engine with huge potential.

About This Book
  • Write Hadoop MapReduce within R
  • Learn data analytics with R and the Hadoop platform
  • Handle HDFS data within R
  • Understand Hadoop streaming with R
  • Encode and enrich datasets into R
In Detail

Big data analytics is the process of examining large amounts of data of a variety of types to uncover hidden patterns, unknown correlations, and other useful information. Such information can provide competitive advantages over rival organizations and result in business benefits, such as more effective marketing and increased revenue. New methods of working with big data, such as Hadoop and MapReduce, offer alternatives to traditional data warehousing.

Big Data Analytics with R and Hadoop is focused on the techniques of integrating R and Hadoop by various tools such as RHIPE and RHadoop. A powerful data analytics engine can be built, which can process analytics algorithms over a large scale dataset in a scalable manner. This can be implemented through data analytics operations of R, MapReduce, and HDFS of Hadoop.

You will start with the installation and configuration of R and Hadoop. Next, you will discover information on various practical data analytics examples with R and Hadoop. Finally, you will learn how to import/export from various data sources to R. Big Data Analytics with R and Hadoop will also give you an easy understanding of the R and Hadoop connectors RHIPE, RHadoop, and Hadoop streaming.

What You Will Learn
  • Integrate R and Hadoop via RHIPE, RHadoop, and Hadoop streaming
  • Develop and run a MapReduce application that runs with R and Hadoop
  • Handle HDFS data from within R using RHIPE and RHadoop
  • Run Hadoop streaming and MapReduce with R
  • Import and export from various data sources to R

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