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Knowledge Management and Big Data Analytics for Strategic Decision Making, Abdalmuttaleb M.A. Musleh Al-Sartawi, Allam Hamdan, Anjum Razzaque, Mukhtar Alhashimi


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Автор: Abdalmuttaleb M.A. Musleh Al-Sartawi, Allam Hamdan, Anjum Razzaque, Mukhtar Alhashimi
Название:  Knowledge Management and Big Data Analytics for Strategic Decision Making
ISBN: 9781799855521
Издательство: Mare Nostrum (Eurospan)
Классификация:




ISBN-10: 179985552X
Обложка/Формат: Hardback
Вес: 0.07 кг.
Дата издания: 30.09.2022
Серия: Computing & IT
Язык: English
Размер: 279 x 216
Читательская аудитория: Professional and scholarly
Ключевые слова: Business studies: general,Data capture & analysis,Data mining,Databases,Information technology: general issues, BUSINESS & ECONOMICS / Knowledge Capital,COMPUTERS / Databases / Data Mining,COMPUTERS / Databases / General
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Поставляется из: Англии
Описание: Addresses the multiple strands that feed into our understanding of big data and data analytics, as well as knowledge management. This book discusses the integrated power of knowledge management and data analytics as the need for this integration must be utilized by firms in order to remain competitive.


Автор: Abdalmuttaleb M.A. Musleh Al-Sartawi, Allam Hamdan, Anjum Razzaque, Mukhtar Alhashimi
Название: Knowledge Management and Big Data Analytics for Strategic Decision Making
ISBN: 1799855538 ISBN-13(EAN): 9781799855538
Издательство: Mare Nostrum (Eurospan)
Рейтинг:
Цена: 31878.00 р.
Наличие на складе: Поставка под заказ.

Описание: Addresses the multiple strands that feed into our understanding of big data and data analytics, as well as knowledge management. This book discusses the integrated power of knowledge management and data analytics as the need for this integration must be utilized by firms in order to remain competitive.

Management decision-making, big data and analytics

Автор: Gressel, Simone Pauleen, David Taskin, Nazim
Название: Management decision-making, big data and analytics
ISBN: 1526492008 ISBN-13(EAN): 9781526492005
Издательство: Sage Publications
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Цена: 8077.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: An exciting new textbook examining big data and business analytics to look at how they can help managers become more effective decision-makers.

Analytics, Operations, and Strategic Decision Making in the Public Sector

Автор: Evans Gerald William, Biles William E., Bae Ki-Hwan G.
Название: Analytics, Operations, and Strategic Decision Making in the Public Sector
ISBN: 1522588604 ISBN-13(EAN): 9781522588603
Издательство: Mare Nostrum (Eurospan)
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Цена: 20064.00 р.
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Описание: Discusses analytics applications in various public sector organisations, and addresses the difficulties associated with the design and operation of these systems, including multiple conflicting objectives, uncertainties and resulting risk, ill-structured nature, combinatorial design aspects, and scale.

Analytics, Operations, and Strategic Decision Making in the Public Sector

Автор: Gerald William Evans, William E. Biles, Ki-Hwan G. Bae
Название: Analytics, Operations, and Strategic Decision Making in the Public Sector
ISBN: 152257591X ISBN-13(EAN): 9781522575917
Издательство: Mare Nostrum (Eurospan)
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Цена: 31324.00 р.
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Описание: Analytics for the public sector involves the application of operations research and statistical techniques to solve various problems existing outside of the private sector. The use of analytics for the public sector results in more efficient and effective services for the clients and users of these systems.Analytics, Operations, and Strategic Decision Making in the Public Sector is an essential reference source that discusses analytics applications in various public sector organizations, and addresses the difficulties associated with the design and operation of these systems including multiple conflicting objectives, uncertainties and resulting risk, ill-structured nature, combinatorial design aspects, and scale. Featuring research on topics such as analytical modeling techniques, data mining, and statistical analysis, this book is ideally designed for academicians, educators, researchers, students, and public sector professionals including those in local, state, and federal governments; criminal justice systems; healthcare; energy and natural resources; waste management; emergency response; and the military.

Simulating business processes for descriptive, predictive, and prescriptive analytics

Автор: Greasley, Andrew
Название: Simulating business processes for descriptive, predictive, and prescriptive analytics
ISBN: 1547416742 ISBN-13(EAN): 9781547416745
Издательство: Walter de Gruyter
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Цена: 9668.00 р.
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Описание: This book outlines the benefits and limitations of simulation, what is involved in setting up a simulation capability in an organization, the steps involved in developing a simulation model and how to ensure that model results are implemented. In addition, detailed example applications are provided to show where the tool is useful and what it can offer the decision maker. In Simulating Business Processes for Descriptive, Predictive, and Prescriptive Analytics , Andrew Greasley provides an in-depth discussion of Business process simulation and how it can enable business analytics How business process simulation can provide speed, cost, dependability, quality, and flexibility metrics Industrial case studies including improving service delivery while ensuring an efficient use of staff in public sector organizations such as the police service, testing the capacity of planned production facilities in manufacturing, and ensuring on-time delivery in logistics systems State-of-the-art developments in business process simulation regarding the generation of simulation analytics using process mining and modeling people’s behavior Managers and decision makers will learn how simulation provides a faster, cheaper and less risky way of observing the future performance of a real-world system. The book will also benefit personnel already involved in simulation development by providing a business perspective on managing the process of simulation, ensuring simulation results are implemented, and that performance is improved.

Big Data Analytics for Improved Accuracy, Efficiency, and Decision Making in Digital Marketing

Автор: Singh Amandeep
Название: Big Data Analytics for Improved Accuracy, Efficiency, and Decision Making in Digital Marketing
ISBN: 1799872319 ISBN-13(EAN): 9781799872313
Издательство: Mare Nostrum (Eurospan)
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Цена: 34234.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: The availability of big data, low-cost commodity hardware, and new information management and analytic software have produced a unique moment in the history of data analysis. The convergence of these trends means that we have the capabilities required to analyze astonishing data sets quickly and cost-effectively for the first time in history. They represent a genuine leap forward and a clear opportunity to realize enormous gains in terms of efficiency, productivity, revenue, and profitability especially in digital marketing. Data plays a huge role in understanding valuable insights about target demographics and customer preferences. From every interaction with technology, regardless of whether it is active or passive, we are creating new data that can describe us. If analyzed correctly, these data points can explain a lot about our behavior, personalities, and life events. Companies can leverage these insights for product improvements, business strategy, and marketing campaigns to cater to the target customers.

Big Data Analytics for Improved Accuracy, Efficiency, and Decision Making in Digital Marketing aids understanding of big data in terms of digital marketing for meaningful analysis of information that can improve marketing efforts and strategies using the latest digital techniques. The chapters cover a wide array of essential marketing topics and techniques, including search engine marketing, consumer behavior, social media marketing, online advertising, and how they interact with big data. This book is essential for professionals and researchers working in the field of analytics, data, and digital marketing, along with marketers, advertisers, brand managers, social media specialists, managers, sales professionals, practitioners, researchers, academicians, and students looking for the latest information on how big data is being used in digital marketing strategies.

Management Decision-Making, Big Data and Analytics

Автор: David J. Pauleen, Nazim Taskin, Simone Gressel
Название: Management Decision-Making, Big Data and Analytics
ISBN: 9354793940 ISBN-13(EAN): 9789354793943
Издательство: Sage Publications
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Цена: 4752.00 р.
Наличие на складе: Поставка под заказ.

Описание: This engaging textbook approaches data analytics from a managerial perspective and explores how managers can use data to take better decisions

Big Data Analytics for Improved Accuracy, Efficiency, and Decision Making in Digital Marketing

Автор: Singh Amandeep
Название: Big Data Analytics for Improved Accuracy, Efficiency, and Decision Making in Digital Marketing
ISBN: 1799872327 ISBN-13(EAN): 9781799872320
Издательство: Mare Nostrum (Eurospan)
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Цена: 26334.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: The availability of big data, low-cost commodity hardware, and new information management and analytic software have produced a unique moment in the history of data analysis. The convergence of these trends means that we have the capabilities required to analyze astonishing data sets quickly and cost-effectively for the first time in history. They represent a genuine leap forward and a clear opportunity to realize enormous gains in terms of efficiency, productivity, revenue, and profitability especially in digital marketing. Data plays a huge role in understanding valuable insights about target demographics and customer preferences. From every interaction with technology, regardless of whether it is active or passive, we are creating new data that can describe us. If analyzed correctly, these data points can explain a lot about our behavior, personalities, and life events. Companies can leverage these insights for product improvements, business strategy, and marketing campaigns to cater to the target customers.

Big Data Analytics for Improved Accuracy, Efficiency, and Decision Making in Digital Marketing aids understanding of big data in terms of digital marketing for meaningful analysis of information that can improve marketing efforts and strategies using the latest digital techniques. The chapters cover a wide array of essential marketing topics and techniques, including search engine marketing, consumer behavior, social media marketing, online advertising, and how they interact with big data. This book is essential for professionals and researchers working in the field of analytics, data, and digital marketing, along with marketers, advertisers, brand managers, social media specialists, managers, sales professionals, practitioners, researchers, academicians, and students looking for the latest information on how big data is being used in digital marketing strategies.

Decision Support Systems V – Big Data Analytics for Decision Making

Автор: Boris Deliba?i?; Jorge E. Hern?ndez; Jason Papatha
Название: Decision Support Systems V – Big Data Analytics for Decision Making
ISBN: 3319185322 ISBN-13(EAN): 9783319185323
Издательство: Springer
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Цена: 4879.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: 'Big Data' Decision Making Use Cases.- The Roles of Big Data in the Decision-Support Process: An Empirical Investigation.- Cloud Enabled Big Data Business Platform for Logistics Services: A Research and Development Agenda.- Making Sense of Governmental Activities Over Social Media: A Data-Driven Approach.- Data-Mining and Expert Models for Predicting Injury Risk in Ski Resorts.- The Effects of Performance Ratios in Predicting Corporate Bankruptcy: The Italian Case.- A Tangible Collaborative Decision Support System for Various Variants of the Vehicle Routing Problem.- Decision Support Model for Participatory Management of Water Resource.- Modeling Interactions Among Criteria in MCDM Methods: A Review.

Management decision-making, big data and analytics

Автор: Gressel, Simone Pauleen, David Taskin, Nazim
Название: Management decision-making, big data and analytics
ISBN: 1526492016 ISBN-13(EAN): 9781526492012
Издательство: Sage Publications
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Цена: 24394.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: An exciting new textbook examining big data and business analytics to look at how they can help managers become more effective decision-makers.

Big data analytics in the insurance market

Название: Big data analytics in the insurance market
ISBN: 1802626387 ISBN-13(EAN): 9781802626384
Издательство: Emerald
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Цена: 16057.00 р.
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Описание: Big Data Analytics in the Insurance Market is an industry-specific guide to creating operational effectiveness, managing risk, improving financials, and retaining customers. A must for people seeking to broaden their knowledge of big data concepts and their real-world applications, particularly in the field of insurance.

Management Decision-Making, Big Data and Analytics

Автор: David J. Pauleen, Nazim Taskin, Simone Gressel
Название: Management Decision-Making, Big Data and Analytics
ISBN: 1529736498 ISBN-13(EAN): 9781529736496
Издательство: Sage Publications
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Цена: 6176.00 р.
Наличие на складе: Поставка под заказ.

Описание: Accessible and concise, this exciting new textbook examines data analytics from a managerial and organizational perspective and looks at how they can help managers become more effective decision-makers.

The book successfully combines theory with practical application, featuring case studies, examples and a ‘critical incidents’ feature that make these topics engaging and relevant for students of business and management. 

The book features chapters on cutting-edge topics, including: 
Big data 
Analytics
Managing emerging technologies and decision-making 
Managing the ethics, security, privacy and legal aspects of data-driven decision-making 

The book is accompanied by an Instructor’s Manual, PowerPoint slides and access to journal articles. 

Suitable for management students studying business analytics and decision-making at undergraduate, postgraduate and MBA levels. 

 

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