Big Data Quantification for Complex Decision-Making PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Big Data Quantification for Complex Decision-Making PDF full book. Access full book title Big Data Quantification for Complex Decision-Making by Zhang, Chao. Download full books in PDF and EPUB format.
Author: Zhang, Chao
Publisher: IGI Global
ISBN:
Category : Business & Economics
Languages : en
Pages : 328
Get Book Here
Book Description
Many professionals are facing a monumental challenge: navigating the intricate landscape of information to make impactful choices. The sheer volume and complexity of big data have ushered in a shift, demanding innovative methodologies and frameworks. Big Data Quantification for Complex Decision-Making tackles this challenge head-on, offering a comprehensive exploration of the tools necessary to distill valuable insights from datasets. This book serves as a tool for professionals, researchers, and students, empowering them to not only comprehend the significance of big data in decision-making but also to translate this understanding into real-world decision making. The central objective of the book is to examine the relationship between big data and decision-making. It strives to address multiple objectives, including understanding the intricacies of big data in decision-making, navigating methodological nuances, managing uncertainty adeptly, and bridging theoretical foundations with real-world applications. The book's core aspiration is to provide readers with a comprehensive toolbox, seamlessly integrating theoretical frameworks, practical applications, and forward-thinking perspectives. This equips readers with the means to effectively navigate the data-rich landscape of modern decision-making, fostering a heightened comprehension of strategic big data utilization. Tailored for a diverse audience, this book caters to researchers and academics in data science, decision science, machine learning, artificial intelligence, and related domains.
Author: Zhang, Chao
Publisher: IGI Global
ISBN:
Category : Business & Economics
Languages : en
Pages : 328
Get Book Here
Book Description
Many professionals are facing a monumental challenge: navigating the intricate landscape of information to make impactful choices. The sheer volume and complexity of big data have ushered in a shift, demanding innovative methodologies and frameworks. Big Data Quantification for Complex Decision-Making tackles this challenge head-on, offering a comprehensive exploration of the tools necessary to distill valuable insights from datasets. This book serves as a tool for professionals, researchers, and students, empowering them to not only comprehend the significance of big data in decision-making but also to translate this understanding into real-world decision making. The central objective of the book is to examine the relationship between big data and decision-making. It strives to address multiple objectives, including understanding the intricacies of big data in decision-making, navigating methodological nuances, managing uncertainty adeptly, and bridging theoretical foundations with real-world applications. The book's core aspiration is to provide readers with a comprehensive toolbox, seamlessly integrating theoretical frameworks, practical applications, and forward-thinking perspectives. This equips readers with the means to effectively navigate the data-rich landscape of modern decision-making, fostering a heightened comprehension of strategic big data utilization. Tailored for a diverse audience, this book caters to researchers and academics in data science, decision science, machine learning, artificial intelligence, and related domains.
Author: Simone Gressel
Publisher: SAGE
ISBN: 1529738288
Category : Business & Economics
Languages : en
Pages : 377
Get Book Here
Book Description
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.
Author: Mik Wisniewski
Publisher: Pearson UK
ISBN: 1292276649
Category : Business & Economics
Languages : en
Pages : 955
Get Book Here
Book Description
Were you looking for the book with access to MyLab Math Global? This product is the book alone and does NOT come with access to MyLab Math Global. Students, if MyLab Math Global is a recommended/mandatory component of the course, please ask your instructor for the correct ISBN and course ID. MyLab Math Global should only be purchased when required by an instructor. Instructors, contact your Pearson representative for more information. There's no doubt that a manager's job is getting tougher. Do it better, do it faster, do it cheaper are the pressures every manager faces. And at the heart of every manager's job is decision-making: deciding what to do and how to do it. This well-respected text looks at how quantitative analysis techniques can be used effectively to support such decision making. As a manager, developing a good understanding of the quantitative analysis techniques at your disposal is crucial. Knowing how, and when, to use them and what their results really mean can be the difference between making a good or bad decision and, ultimately, between business success and failure. Appealing both to students on introductory-level courses and to MBA and postgraduate students, this internationally successful text provides an accessible introduction to a subject area that students often find difficult. Quantitative Analysis for Decision Makers (formerly known as Quantitative Methods for Decision Makers) helps students to understand the relevance of quantitative methods of analysis to management decision-making by relating techniques directly to real-life business decisions in public and private sector organisations and focuses on developing appropriate skills and understanding of how the techniques fit into the wider management process. Key features: The use of real data sets to show how analytical techniques are used in practice “QADM in Action” case studies illustrating how organisations benefit from the use of analytical techniques Articles from the Financial Times illustrating the use of such techniques in a variety of business settings Fully worked examples and exercises supported by Excel data sets Student Progress Check activities in each chapter with solutions A 300+ page Tutors Solutions Manual
Author: Anna Visvizi
Publisher: Emerald Group Publishing
ISBN: 1803825510
Category : Political Science
Languages : en
Pages : 238
Get Book Here
Book Description
Big Data and Decision-Making: Applications and Uses in the Public and Private Sector breaks down the concept of big data to reveal how it has become integrated into the fabric of both public and private domains, as well as how its value can ultimately be exploited.
Author:
Publisher:
ISBN:
Category : Competition, International
Languages : en
Pages : 156
Get Book Here
Book Description
Author: Ramakrishnan Ramanathan
Publisher: CRC Press
ISBN: 1351648691
Category : Computers
Languages : en
Pages : 435
Get Book Here
Book Description
Multiple Criteria Decision Making (MCDM) is a subfield of Operations Research, dealing with decision making problems. A decision-making problem is characterized by the need to choose one or a few among a number of alternatives. The field of MCDM assumes special importance in this era of Big Data and Business Analytics. In this volume, the focus will be on modelling-based tools for Business Analytics (BA), with exclusive focus on the sub-field of MCDM within the domain of operations research. The book will include an Introduction to Big Data and Business Analytics, and challenges and opportunities for developing MCDM models in the era of Big Data.
Author: José María Cavanillas
Publisher: Springer
ISBN: 3319215698
Category : Computers
Languages : en
Pages : 312
Get Book Here
Book Description
In this book readers will find technological discussions on the existing and emerging technologies across the different stages of the big data value chain. They will learn about legal aspects of big data, the social impact, and about education needs and requirements. And they will discover the business perspective and how big data technology can be exploited to deliver value within different sectors of the economy. The book is structured in four parts: Part I “The Big Data Opportunity” explores the value potential of big data with a particular focus on the European context. It also describes the legal, business and social dimensions that need to be addressed, and briefly introduces the European Commission’s BIG project. Part II “The Big Data Value Chain” details the complete big data lifecycle from a technical point of view, ranging from data acquisition, analysis, curation and storage, to data usage and exploitation. Next, Part III “Usage and Exploitation of Big Data” illustrates the value creation possibilities of big data applications in various sectors, including industry, healthcare, finance, energy, media and public services. Finally, Part IV “A Roadmap for Big Data Research” identifies and prioritizes the cross-sectorial requirements for big data research, and outlines the most urgent and challenging technological, economic, political and societal issues for big data in Europe. This compendium summarizes more than two years of work performed by a leading group of major European research centers and industries in the context of the BIG project. It brings together research findings, forecasts and estimates related to this challenging technological context that is becoming the major axis of the new digitally transformed business environment.
Author: Jiuping Xu
Publisher: Springer Nature
ISBN: 9819750989
Category :
Languages : en
Pages : 1703
Get Book Here
Book Description
Author: Dhruvitkumar Patel
Publisher: Academic Guru Publishing House
ISBN: 8197885168
Category : Study Aids
Languages : en
Pages : 244
Get Book Here
Book Description
“Big Data Fundamentals: A Comprehensive Guide to Data Management and Analysis” aims to provide a complete knowledge of the basic ideas and methods related with big data. Ten thorough chapters, each with an emphasis on important aspects of big data including definition, features, technologies, processing methods, and security issues, make up the book. The book starts with an overview of big data and its impact on modern businesses then looks at many technologies and tools within the big data ecosystem. Readers will learn recommended practices for data management as well as data storage options—including data lakes and cloud storage. Discussions on data processing and analytics include batch and stream processing as well as methods like ETL. Emphasizing their importance in obtaining insightful analysis from large volumes of data, the book also investigates the junction of data mining and machine learning. It underlines the need for data visualization for efficient result interpretation and successful result communication. Analyzed are the security and privacy issues in the framework of big data, along with solutions for guaranteeing compliance and governance. The book presents advanced topics like real-time processing and future trends along with useful implementation techniques. This comprehensive handbook is a vital tool for anybody wishing to understand and use big data’s potential in their career.
Author: Amalendu Bhunia
Publisher: Springer Nature
ISBN: 9464632984
Category : Business & Economics
Languages : en
Pages : 609
Get Book Here
Book Description
This is an open access book. Finance and trade are the keys to the world's continued economic and social development. Studying finance and trade can help us better understand how the world works. In addition, business management is crucial for an enterprise and a country's sustainable development. The conference mainly focused on research fields such as finance, trade, and business management. The 2023 International Conference on Finance, Trade, and Business Management(FTBM2023)will be held on September 22-24, 2023 by ZOOM. The purpose of the conference is to provide a chance for experts and scholars engaged in finance, trade, and business management-related research to exchange scientific research results and cutting-edge technologies, understand academic development trends, broaden research ideas, strengthen academic research and discussions, and promote cooperation in the industrialization of academic achievements. We sincerely invite experts, scholars, business people, and other relevant people from universities and scientific research institutions at home and abroad to attend the conference!
