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Management Decision-Making, Big Data and Analytics, David J. Pauleen, Nazim Taskin, Simone Gressel


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Автор: David J. Pauleen, Nazim Taskin, Simone Gressel
Название:  Management Decision-Making, Big Data and Analytics
ISBN: 9789354793943
Издательство: Sage Publications
Классификация:

ISBN-10: 9354793940
Обложка/Формат: Paperback
Страницы: 304
Вес: 0.73 кг.
Дата издания: 15.03.2022
Серия: Economics/Business/Finance
Язык: English
Размер: 215 x 139
Читательская аудитория: Tertiary education (us: college)
Ключевые слова: Business & management,Management decision making
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Поставляется из: Англии
Описание: This engaging textbook approaches data analytics from a managerial perspective and explores how managers can use data to take better decisions


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: 5590.00 р.
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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.

Recent Developments in Data Science and Business Analytics

Автор: Madjid Tavana; Srikanta Patnaik
Название: Recent Developments in Data Science and Business Analytics
ISBN: 3030102599 ISBN-13(EAN): 9783030102593
Издательство: Springer
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Цена: 20962.00 р.
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Описание: This edited volume is brought out from the contributions of the research papers presented in the International Conference on Data Science and Business Analytics (ICDSBA- 2017), which was held during September 23-25 2017 in ChangSha, China. As we all know, the field of data science and business analytics is emerging at the intersection of the fields of mathematics, statistics, operations research, information systems, computer science and engineering. Data science and business analytics is an interdisciplinary field about processes and systems to extract knowledge or insights from data. Data science and business analytics employ techniques and theories drawn from many fields including signal processing, probability models, machine learning, statistical learning, data mining, database, data engineering, pattern recognition, visualization, descriptive analytics, predictive analytics, prescriptive analytics, uncertainty modeling, big data, data warehousing, data compression, computer programming, business intelligence, computational intelligence, and high performance computing among others. The volume contains 55 contributions from diverse areas of Data Science and Business Analytics, which has been categorized into five sections, namely: i) Marketing and Supply Chain Analytics; ii) Logistics and Operations Analytics; iii) Financial Analytics. iv) Predictive Modeling and Data Analytics; v) Communications and Information Systems Analytics. The readers shall not only receive the theoretical knowledge about this upcoming area but also cutting edge applications of this domains.

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: 7285.00 р.
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Описание: An exciting new textbook examining big data and business analytics to look at how they can help managers become more effective decision-makers.

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: 22176.00 р.
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Описание: An exciting new textbook examining big data and business analytics to look at how they can help managers become more effective decision-makers.

Business Analytics: Data Analysis & Decision Making

Автор: Albright S. Christian, Winston Wayne L.
Название: Business Analytics: Data Analysis & Decision Making
ISBN: 0357109953 ISBN-13(EAN): 9780357109953
Издательство: Cengage Learning
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Цена: 12670.00 р.
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Описание: Master data analysis, modeling and the effective use of spreadsheets with the popular BUSINESS ANALYTICS: DATA ANALYSIS AND DECISION MAKING, 7E. The quantitative methods approach in this edition helps you maximize your success with a proven teach-by-example presentation, inviting writing style and complete integration of the latest version of Excel. The approach is also compatible with earlier versions of Excel for your convenience.

This edition is more data-oriented than ever before with a new chapter on the two main Power BI tools in Excel -- Power Query and Power Pivot -- and a new section of data visualization with Tableau Public. Current problems and cases demonstrate the importance of the concepts you are learning. In addition, a useful Companion Website provides data and solutions files, SolverTable for optimization sensitivity analysis and Palisade DecisionTools Suite.

MindTap online resources are also available.

Business Analytics, Volume II: A Data Driven Decision Making Approach for Business

Автор: Sahay Amar
Название: Business Analytics, Volume II: A Data Driven Decision Making Approach for Business
ISBN: 1631574795 ISBN-13(EAN): 9781631574795
Издательство: Mare Nostrum (Eurospan)
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Цена: 3385.00 р.
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Описание: This business analytics (BA) text discusses the models based on fact-based data to measure past business performance to guide an organization in visualizing and predicting future business performance and outcomes.It provides a comprehensive overview of analytics in general with an emphasis on predictive analytics. Given the booming interest in analytics and data science, this book is timely and informative. It brings many terms, tools, and methods of analytics together.The first three chapters provide an introduction to BA, importance of analytics, types of BA—descriptive, predictive, and prescriptive—along with the tools and models. Business intelligence (BI) and a case on descriptive analytics are discussed. Additionally, the book discusses on the most widely used predictive models, including regression analysis, forecasting, data mining, and an introduction to recent applications of predictive analytics—machine learning, neural networks, and artificial intelligence. The concluding chapter discusses on the current state, job outlook, and certifications in analytics.

Analytics for Managers

Автор: Bell
Название: Analytics for Managers
ISBN: 0415622697 ISBN-13(EAN): 9780415622691
Издательство: Taylor&Francis
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Цена: 29093.00 р.
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Описание:

Analytics is one of a number of terms which are used to describe a data-driven more scientific approach to management. Ability in analytics is an essential management skill: knowledge of data and analytics helps the manager to analyze decision situations, prevent problem situations from arising, identify new opportunities, and often enables many millions of dollars to be added to the bottom line for the organization.

The objective of this book is to introduce analytics from the perspective of the general manager of a corporation. Rather than examine the details or attempt an encyclopaedic review of the field, this text emphasizes the strategic role that analytics is playing in globally competitive corporations today.

The chapters of this book are organized in two main parts. The first part introduces a problem area and presents some basic analytical concepts that have been successfully used to address the problem area. The objective of this material is to provide the student, the manager of the future, with a general understanding of the tools and techniques used by the analyst.

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.

Information for efficient decision making: big data, blockchain and relevance

Название: Information for efficient decision making: big data, blockchain and relevance
ISBN: 9811220468 ISBN-13(EAN): 9789811220463
Издательство: World Scientific Publishing
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Цена: 26136.00 р.
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Описание: Can there be reliable information that is also relevant to decision making? Information for Efficient Decision Making: Big Data, Blockchain and Relevance focuses on the consolidation of information to facilitate making decisions in firms, in order to make their operations efficient to reduce their costs and consequently, increase their profitability. The advent of blockchain has generated great interest as an alternative to centralized organizations, where the data is gathered through a centralized ledger keeping of activities of the firm. The decentralized ledger keeping is one of the main features of blockchain that has given rise to many issues of technology, development, implementation, privacy, acceptance, evaluation and so on. Blockchain concept is a follow-up to big data environment facilitated by enormous progress in computer hardware, storage capacities and technological prowess. This has resulted in the rapid acquiring of data not considered possible earlier. With shrewd modeling analytics and algorithms, the applications have grown to significant levels. This handbook discusses the progress in data collection, pros and cons of collecting information on decentralized publicly available ledgers and several applications.

Data Analytics and Decision Support for Cybersecurity

Автор: Iv?n Palomares Carrascosa; Harsha Kumara Kalutarag
Название: Data Analytics and Decision Support for Cybersecurity
ISBN: 3319866249 ISBN-13(EAN): 9783319866246
Издательство: Springer
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Цена: 18167.00 р.
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Better Decision Making With Unit Cost Data

Автор: Marburger
Название: Better Decision Making With Unit Cost Data
ISBN: 1606495127 ISBN-13(EAN): 9781606495124
Издательство: McGraw-Hill
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Цена: 3602.00 р.
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Описание: According to economic theory, production and costs follow patterns that are common to many firms. This book intends to present production/cost theory, review various cost accounting methods and demonstrate how they may distort production and pricing decisions in light of the differences between accounting costs and economic theory.

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.


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