Big Data Quantification For Complex Decision Making

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Big Data Quantification for Complex Decision-Making

Zhang, Chao,Li, Wentao
Big Data Quantification for Complex Decision Making Book PDF

Author : Zhang, Chao,Li, Wentao
Publisher : IGI Global
Page : 328 pages
File Size : 40,7 Mb
Release : 2024-04-16
Category : Business & Economics
ISBN : 9798369315835

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Big Data Quantification for Complex Decision-Making by Zhang, Chao,Li, Wentao Pdf

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.

How will Big Data change the way managers make decisions? Artificial intelligence and its impact on managerial decision making

Carolin Nothof
How will Big Data change the way managers make decisions Artificial intelligence and its impact on managerial decision making Book PDF

Author : Carolin Nothof
Publisher : GRIN Verlag
Page : 83 pages
File Size : 48,9 Mb
Release : 2019-03-22
Category : Business & Economics
ISBN : 9783960954866

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How will Big Data change the way managers make decisions? Artificial intelligence and its impact on managerial decision making by Carolin Nothof Pdf

Today’s most precious raw material is not gold, but Big Data: Each one of us generates a huge amount of information every single day, rendering thus both ourselves and our choices transparent. But in addition to that, Big Data helps companies to improve their decision-making. Since managers have to address highly complex issues in an ever more complicated world, they cannot do without Big Data and Artificial Intelligence, as Carolin Nothof explains. By taking into account various external factors, their algorithms predict right entrepreneurial choices. These choices can be made in areas such as retail, Human Resources, the Internet of Things, and marketing. Nothof’s publication is not only rich in theoretical explanations, but also gives examples of the practical use of Big Data in various industries. Machines are a man’s best co-workers. In this book: - Big Data; - decision-making; - AI; - Behavorial Economics; - Machine Learning; - algorithms

Big Data and Decision-Making

Anna Visvizi,Orlando Troisi,Mara Grimaldi
Big Data and Decision Making Book PDF

Author : Anna Visvizi,Orlando Troisi,Mara Grimaldi
Publisher : Emerald Group Publishing
Page : 238 pages
File Size : 43,9 Mb
Release : 2023-01-30
Category : Political Science
ISBN : 9781803825519

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Big Data and Decision-Making by Anna Visvizi,Orlando Troisi,Mara Grimaldi Pdf

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.

Assessing Urban Transportation with Big Data Analysis

Dongyuan Yang,Zhengyu Duan
Assessing Urban Transportation with Big Data Analysis Book PDF

Author : Dongyuan Yang,Zhengyu Duan
Publisher : Springer Nature
Page : 349 pages
File Size : 40,7 Mb
Release : 2022-09-19
Category : Science
ISBN : 9789811933387

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Assessing Urban Transportation with Big Data Analysis by Dongyuan Yang,Zhengyu Duan Pdf

This book chiefly focuses on urban traffic, an area supported by massive amounts of data. The application of big data to urban traffic provides strategic and technical methods for the multi-directional and in-depth observation of complex adaptive systems, thus transforming conventional urban traffic planning and management methods. Sharing valuable insights into how big data can be applied to urban traffic, it offers a valuable asset for information technicians, traffic engineers and traffic data analysts alike.

Big Data Analytics Using Multiple Criteria Decision-Making Models

Ramakrishnan Ramanathan,Muthu Mathirajan,A. Ravi Ravindran
Big Data Analytics Using Multiple Criteria Decision Making Models Book PDF

Author : Ramakrishnan Ramanathan,Muthu Mathirajan,A. Ravi Ravindran
Publisher : CRC Press
Page : 370 pages
File Size : 48,9 Mb
Release : 2017-07-12
Category : Computers
ISBN : 9781498753753

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Big Data Analytics Using Multiple Criteria Decision-Making Models by Ramakrishnan Ramanathan,Muthu Mathirajan,A. Ravi Ravindran Pdf

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.

Bursting the Big Data Bubble

Jay Liebowitz
Bursting the Big Data Bubble Book PDF

Author : Jay Liebowitz
Publisher : CRC Press
Page : 351 pages
File Size : 55,7 Mb
Release : 2014-07-25
Category : Business & Economics
ISBN : 9781482228878

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Bursting the Big Data Bubble by Jay Liebowitz Pdf

As we get caught up in the quagmire of Big Data and analytics, it remains critically important to be able to reflect and apply insights, experience, and intuition to your decision-making process. In fact, a recent research study at Tel Aviv University found that executives who relied on their intuition were 90 percent accurate in their decisions.Bu

Handbook of Research on Engineering, Business, and Healthcare Applications of Data Science and Analytics

Patil, Bhushan,Vohra, Manisha
Handbook of Research on Engineering Business and Healthcare Applications of Data Science and Analytics Book PDF

Author : Patil, Bhushan,Vohra, Manisha
Publisher : IGI Global
Page : 583 pages
File Size : 49,8 Mb
Release : 2020-10-23
Category : Computers
ISBN : 9781799830542

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Handbook of Research on Engineering, Business, and Healthcare Applications of Data Science and Analytics by Patil, Bhushan,Vohra, Manisha Pdf

Analyzing data sets has continued to be an invaluable application for numerous industries. By combining different algorithms, technologies, and systems used to extract information from data and solve complex problems, various sectors have reached new heights and have changed our world for the better. The Handbook of Research on Engineering, Business, and Healthcare Applications of Data Science and Analytics is a collection of innovative research on the methods and applications of data analytics. While highlighting topics including artificial intelligence, data security, and information systems, this book is ideally designed for researchers, data analysts, data scientists, healthcare administrators, executives, managers, engineers, IT consultants, academicians, and students interested in the potential of data application technologies.

The Enterprise Big Data Framework

Jan-Willem Middelburg
The Enterprise Big Data Framework Book PDF

Author : Jan-Willem Middelburg
Publisher : Kogan Page Publishers
Page : 497 pages
File Size : 51,6 Mb
Release : 2023-11-03
Category : Business & Economics
ISBN : 9781398601727

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The Enterprise Big Data Framework by Jan-Willem Middelburg Pdf

Businesses who can make sense of the huge influx and complexity of data will be the big winners in the information economy. This comprehensive guide covers all the aspects of transforming enterprise data into value, from the initial set-up of a big data strategy, towards algorithms, architecture and data governance processes. Using a vendor-independent approach, The Enterprise Big Data Framework offers practical advice on how to develop data-driven decision making, detailed data analysis and data engineering techniques. With a focus on business implementation, The Enterprise Big Data Framework includes sections on analysis, engineering, algorithm design and big data architecture, and covers topics such as data preparation and presentation, data modelling, data science, programming languages and machine learning algorithms. Endorsed by leading accreditation and examination institute AMPG International, this book is required reading for the Enterprise Big Data Certifications, which aim to develop excellence in big data practices across the globe. Online resources include sample data for practice purposes.

Real-World Data Mining

Dursun Delen
Real World Data Mining Book PDF

Author : Dursun Delen
Publisher : FT Press
Page : 289 pages
File Size : 46,5 Mb
Release : 2014-12-16
Category : Business & Economics
ISBN : 9780133551112

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Real-World Data Mining by Dursun Delen Pdf

Use the latest data mining best practices to enable timely, actionable, evidence-based decision making throughout your organization! Real-World Data Mining demystifies current best practices, showing how to use data mining to uncover hidden patterns and correlations, and leverage these to improve all aspects of business performance. Drawing on extensive experience as a researcher, practitioner, and instructor, Dr. Dursun Delen delivers an optimal balance of concepts, techniques and applications. Without compromising either simplicity or clarity, he provides enough technical depth to help readers truly understand how data mining technologies work. Coverage includes: processes, methods, techniques, tools, and metrics; the role and management of data; text and web mining; sentiment analysis; and Big Data integration. Throughout, Delen's conceptual coverage is complemented with application case studies (examples of both successes and failures), as well as simple, hands-on tutorials. Real-World Data Mining will be valuable to professionals on analytics teams; professionals seeking certification in the field; and undergraduate or graduate students in any analytics program: concentrations, certificate-based, or degree-based.

Big Data Analysis: New Algorithms for a New Society

Nathalie Japkowicz,Jerzy Stefanowski
Big Data Analysis New Algorithms for a New Society Book PDF

Author : Nathalie Japkowicz,Jerzy Stefanowski
Publisher : Springer
Page : 329 pages
File Size : 54,8 Mb
Release : 2015-12-16
Category : Technology & Engineering
ISBN : 9783319269894

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Big Data Analysis: New Algorithms for a New Society by Nathalie Japkowicz,Jerzy Stefanowski Pdf

This edited volume is devoted to Big Data Analysis from a Machine Learning standpoint as presented by some of the most eminent researchers in this area. It demonstrates that Big Data Analysis opens up new research problems which were either never considered before, or were only considered within a limited range. In addition to providing methodological discussions on the principles of mining Big Data and the difference between traditional statistical data analysis and newer computing frameworks, this book presents recently developed algorithms affecting such areas as business, financial forecasting, human mobility, the Internet of Things, information networks, bioinformatics, medical systems and life science. It explores, through a number of specific examples, how the study of Big Data Analysis has evolved and how it has started and will most likely continue to affect society. While the benefits brought upon by Big Data Analysis are underlined, the book also discusses some of the warnings that have been issued concerning the potential dangers of Big Data Analysis along with its pitfalls and challenges.

Intelligent Systems Design and Applications

Ajith Abraham,Sabri Pllana,Gabriella Casalino,Kun Ma,Anu Bajaj
Intelligent Systems Design and Applications Book PDF

Author : Ajith Abraham,Sabri Pllana,Gabriella Casalino,Kun Ma,Anu Bajaj
Publisher : Springer Nature
Page : 614 pages
File Size : 54,9 Mb
Release : 2023-07-04
Category : Technology & Engineering
ISBN : 9783031355073

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Intelligent Systems Design and Applications by Ajith Abraham,Sabri Pllana,Gabriella Casalino,Kun Ma,Anu Bajaj Pdf

This book highlights recent research on intelligent systems and nature-inspired computing. It presents 223 selected papers from the 22nd International Conference on Intelligent Systems Design and Applications (ISDA 2022), which was held online. The ISDA is a premier conference in the field of computational intelligence, and the latest installment brought together researchers, engineers, and practitioners whose work involves intelligent systems and their applications in industry. Including contributions by authors from 65 countries, the book offers a valuable reference guide for all researchers, students, and practitioners in the fields of computer science and engineering.

Analysis of Large and Complex Data

Adalbert F.X. Wilhelm,Hans A. Kestler
Analysis of Large and Complex Data Book PDF

Author : Adalbert F.X. Wilhelm,Hans A. Kestler
Publisher : Springer
Page : 656 pages
File Size : 54,5 Mb
Release : 2016-08-03
Category : Computers
ISBN : 9783319252261

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Analysis of Large and Complex Data by Adalbert F.X. Wilhelm,Hans A. Kestler Pdf

This book offers a snapshot of the state-of-the-art in classification at the interface between statistics, computer science and application fields. The contributions span a broad spectrum, from theoretical developments to practical applications; they all share a strong computational component. The topics addressed are from the following fields: Statistics and Data Analysis; Machine Learning and Knowledge Discovery; Data Analysis in Marketing; Data Analysis in Finance and Economics; Data Analysis in Medicine and the Life Sciences; Data Analysis in the Social, Behavioural, and Health Care Sciences; Data Analysis in Interdisciplinary Domains; Classification and Subject Indexing in Library and Information Science. The book presents selected papers from the Second European Conference on Data Analysis, held at Jacobs University Bremen in July 2014. This conference unites diverse researchers in the pursuit of a common topic, creating truly unique synergies in the process.

Quantitative Analysis for Decision Makers, 7th Edition (Formally known as Quantitative Methods for Decision Makers)

Mik Wisniewski,Dr Farhad Shafti
Quantitative Analysis for Decision Makers 7th Edition Formally known as Quantitative Methods for Decision Makers Book PDF

Author : Mik Wisniewski,Dr Farhad Shafti
Publisher : Pearson UK
Page : 955 pages
File Size : 45,7 Mb
Release : 2019-05-12
Category : Business & Economics
ISBN : 9781292276649

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Quantitative Analysis for Decision Makers, 7th Edition (Formally known as Quantitative Methods for Decision Makers) by Mik Wisniewski,Dr Farhad Shafti Pdf

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

Big Data Analytics Techniques for Market Intelligence

Darwish, Dina
Big Data Analytics Techniques for Market Intelligence Book PDF

Author : Darwish, Dina
Publisher : IGI Global
Page : 536 pages
File Size : 54,8 Mb
Release : 2024-01-04
Category : Computers
ISBN : 9798369304150

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Big Data Analytics Techniques for Market Intelligence by Darwish, Dina Pdf

The ever-expanding realm of Big Data poses a formidable challenge for academic scholars and professionals due to the sheer magnitude and diversity of data types, along with the continuous influx of information from various sources. Extracting valuable insights from this vast and complex dataset is crucial for organizations to uncover market intelligence and make informed decisions. However, without the proper guidance and understanding of Big Data analytics techniques and methodologies, scholars may struggle to navigate this landscape and maximize the potential benefits of their research. In response to this pressing need, Professor Dina Darwish presents Big Data Analytics Techniques for Market Intelligence, a groundbreaking book that addresses the specific challenges faced by scholars and professionals in the field. Through a comprehensive exploration of various techniques and methodologies, this book offers a solution to the hurdles encountered in extracting meaningful information from Big Data. Covering the entire lifecycle of Big Data analytics, including preprocessing, analysis, visualization, and utilization of results, the book equips readers with the knowledge and tools necessary to unlock the power of Big Data and generate valuable market intelligence. With real-world case studies and a focus on practical guidance, scholars and professionals can effectively leverage Big Data analytics to drive strategic decision-making and stay at the forefront of this rapidly evolving field.

Big Data for Big Decisions

Krishna Pera
Big Data for Big Decisions Book PDF

Author : Krishna Pera
Publisher : CRC Press
Page : 266 pages
File Size : 48,9 Mb
Release : 2022-12-30
Category : Business & Economics
ISBN : 9781000816891

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Big Data for Big Decisions by Krishna Pera Pdf

Building a data-driven organization (DDO) is an enterprise-wide initiative that may consume and lock up resources for the long term. Understandably, any organization considering such an initiative would insist on a roadmap and business case to be prepared and evaluated prior to approval. This book presents a step-by-step methodology in order to create a roadmap and business case, and provides a narration of the constraints and experiences of managers who have attempted the setting up of DDOs. The emphasis is on the big decisions – the key decisions that influence 90% of business outcomes – starting from decision first and reengineering the data to the decisions process-chain and data governance, so as to ensure the right data are available at the right time, every time. Investing in artificial intelligence and data-driven decision making are now being considered a survival necessity for organizations to stay competitive. While every enterprise aspires to become 100% data-driven and every Chief Information Officer (CIO) has a budget, Gartner estimates over 80% of all analytics projects fail to deliver intended value. Most CIOs think a data-driven organization is a distant dream, especially while they are still struggling to explain the value from analytics. They know a few isolated successes, or a one-time leveraging of big data for decision making does not make an organization data-driven. As of now, there is no precise definition for data-driven organization or what qualifies an organization to call itself data-driven. Given the hype in the market for big data, analytics and AI, every CIO has a budget for analytics, but very little clarity on where to begin or how to choose and prioritize the analytics projects. Most end up investing in a visualization platform like Tableau or QlikView, which in essence is an improved version of their BI dashboard that the organization had invested into not too long ago. The most important stakeholders, the decision-makers, are rarely kept in the loop while choosing analytics projects. This book provides a fail-safe methodology for assured success in deriving intended value from investments into analytics. It is a practitioners’ handbook for creating a step-by-step transformational roadmap prioritizing the big data for the big decisions, the 10% of decisions that influence 90% of business outcomes, and delivering material improvements in the quality of decisions, as well as measurable value from analytics investments. The acid test for a data-driven organization is when all the big decisions, especially top-level strategic decisions, are taken based on data and not on the collective gut feeling of the decision makers in the organization.