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Decision Support, Analytics, and Business Intelligence, Power


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Цена: 2145.00р.
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При оформлении заказа до: 2025-08-04
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Автор: Power
Название:  Decision Support, Analytics, and Business Intelligence
ISBN: 9781606496183
Издательство: McGraw-Hill
Классификация:

ISBN-10: 1606496182
Обложка/Формат: Paperback
Страницы: 184
Вес: 0.25 кг.
Язык: English
Издание: 02
Размер: 229 x 152 x 10
Поставляется из: Англии
Описание: What is a DSS? What do managers need to know about computerized decision support? And how can managers identify opportunities to create innovative DSS? This title is suitable for busy managers and MBA students who need to grasp the basics of computerized decision support.


Decision support systems for business intelligence

Название: Decision support systems for business intelligence
ISBN: 0470433744 ISBN-13(EAN): 9780470433744
Издательство: Wiley
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Цена: 18683.00 р.
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Описание: Decision Support Systems for Business Intelligence examines decision making in general, the translation of knowledge about decision making into a DSS model, and the actual programming of a DSS. It also combines the theoretical underpinnings of the topic with practical application using tools and technology currently available.

Business Intelligence - Data Mining and Optimization for Decision Making

Автор: Vercellis
Название: Business Intelligence - Data Mining and Optimization for Decision Making
ISBN: 0470511389 ISBN-13(EAN): 9780470511381
Издательство: Wiley
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Цена: 21059.00 р.
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Описание: This book provides coverage of topics currently dispersed throughout data mining and business books, bringing them together for the first time to provide readers with an introductory and practical guide to the mathematical models and analysis methodologies vital to business intelligence.

Business Intelligence Strategy and Big Data Analytics

Автор: Williams, Steve
Название: Business Intelligence Strategy and Big Data Analytics
ISBN: 0128091983 ISBN-13(EAN): 9780128091982
Издательство: Elsevier Science
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Цена: 5388.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание:

Business Intelligence Strategy and Big Data Analytics is written for business leaders, managers, and analysts - people who are involved with advancing the use of BI at their companies or who need to better understand what BI is and how it can be used to improve profitability. It is written from a general management perspective, and it draws on observations at 12 companies whose annual revenues range between $500 million and $20 billion. Over the past 15 years, my company has formulated vendor-neutral business-focused BI strategies and program execution plans in collaboration with manufacturers, distributors, retailers, logistics companies, insurers, investment companies, credit unions, and utilities, among others. It is through these experiences that we have validated business-driven BI strategy formulation methods and identified common enterprise BI program execution challenges.

In recent years, terms like "big data" and "big data analytics" have been introduced into the business and technical lexicon. Upon close examination, the newer terminology is about the same thing that BI has always been about: analyzing the vast amounts of data that companies generate and/or purchase in the course of business as a means of improving profitability and competitiveness. Accordingly, we will use the terms BI and business intelligence throughout the book, and we will discuss the newer concepts like big data as appropriate. More broadly, the goal of this book is to share methods and observations that will help companies achieve BI success and thereby increase revenues, reduce costs, or both.


  • Provides ideas for improving the business performance of one's company or business functions
  • Emphasizes proven, practical, step-by-step methods that readers can readily apply in their companies
  • Includes exercises and case studies with road-tested advice about formulating BI strategies and program plans
Computational Intelligence for Decision Support

Автор: Chen
Название: Computational Intelligence for Decision Support
ISBN: 0849317991 ISBN-13(EAN): 9780849317996
Издательство: Taylor&Francis
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Цена: 32921.00 р.
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Описание: Intelligent decision support relies on techniques from a variety of disciplines, including artificial intelligence and database management systems. This book offers an explanation of how to use AI and DBMS together to achieve high-level decision making. It discusses computational intelligence as the science developed for decision support.

Analytics and decision support in health care management

Автор: Ozcan, Yasar A.
Название: Analytics and decision support in health care management
ISBN: 1119219817 ISBN-13(EAN): 9781119219811
Издательство: Wiley
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Цена: 13773.00 р.
Наличие на складе: Поставка под заказ.

Описание: A compendium of health care quantitative techniques based in Excel Analytics and Decision Support in Health Care Operations is a comprehensive introductory guide to quantitative techniques, with practical Excel-based solutions for strategic health care management.

Ibm cognos 8 business intelligence

Автор: Volitich, Dan
Название: Ibm cognos 8 business intelligence
ISBN: 0071498524 ISBN-13(EAN): 9780071498524
Издательство: McGraw-Hill
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Цена: 12050.00 р.
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Описание: Delivers a range of BI capabilities - reporting, analysis, scorecarding, dashboards, business event management, and data integration, on a single, proven architecture. This guide offers BI developers and architects, consultants, IT managers, and end-users coverage of various product`s versatile features.

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

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