Big Data And Decision Making

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Management Decision-Making, Big Data and Analytics

Author : Simone Gressel
Publisher : SAGE
ISBN 13 : 1529738288
Total Pages : 354 pages
Book Rating : 4.5/5 (297 download)

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Book Synopsis Management Decision-Making, Big Data and Analytics by : Simone Gressel

Download or read book Management Decision-Making, Big Data and Analytics written by Simone Gressel and published by SAGE. This book was released on 2020-10-12 with total page 354 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Big Data on Campus

Author : Karen L. Webber
Publisher : Johns Hopkins University Press
ISBN 13 : 1421439034
Total Pages : 337 pages
Book Rating : 4.4/5 (214 download)

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Book Synopsis Big Data on Campus by : Karen L. Webber

Download or read book Big Data on Campus written by Karen L. Webber and published by Johns Hopkins University Press. This book was released on 2020-11-03 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt: Webber, Henry Y. Zheng, Ying Zhou

Big Data Analytics Using Multiple Criteria Decision-Making Models

Author : Ramakrishnan Ramanathan
Publisher : CRC Press
ISBN 13 : 1351648691
Total Pages : 435 pages
Book Rating : 4.3/5 (516 download)

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Book Synopsis Big Data Analytics Using Multiple Criteria Decision-Making Models by : Ramakrishnan Ramanathan

Download or read book Big Data Analytics Using Multiple Criteria Decision-Making Models written by Ramakrishnan Ramanathan and published by CRC Press. This book was released on 2017-07-12 with total page 435 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Creating Value with Big Data Analytics

Author : Peter C. Verhoef
Publisher : Routledge
ISBN 13 : 1317561929
Total Pages : 339 pages
Book Rating : 4.3/5 (175 download)

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Book Synopsis Creating Value with Big Data Analytics by : Peter C. Verhoef

Download or read book Creating Value with Big Data Analytics written by Peter C. Verhoef and published by Routledge. This book was released on 2016-01-08 with total page 339 pages. Available in PDF, EPUB and Kindle. Book excerpt: Our newly digital world is generating an almost unimaginable amount of data about all of us. Such a vast amount of data is useless without plans and strategies that are designed to cope with its size and complexity, and which enable organisations to leverage the information to create value. This book is a refreshingly practical, yet theoretically sound roadmap to leveraging big data and analytics. Creating Value with Big Data Analytics provides a nuanced view of big data development, arguing that big data in itself is not a revolution but an evolution of the increasing availability of data that has been observed in recent times. Building on the authors’ extensive academic and practical knowledge, this book aims to provide managers and analysts with strategic directions and practical analytical solutions on how to create value from existing and new big data. By tying data and analytics to specific goals and processes for implementation, this is a much-needed book that will be essential reading for students and specialists of data analytics, marketing research, and customer relationship management.

Big Data, Mining, and Analytics

Author : Stephan Kudyba
Publisher : CRC Press
ISBN 13 : 1466568712
Total Pages : 306 pages
Book Rating : 4.4/5 (665 download)

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Book Synopsis Big Data, Mining, and Analytics by : Stephan Kudyba

Download or read book Big Data, Mining, and Analytics written by Stephan Kudyba and published by CRC Press. This book was released on 2014-03-12 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book ties together big data, data mining, and analytics to explain how readers can leverage them to transform their business strategy. Illustrating basic approaches of business intelligence to data and text mining, the book guides readers through the process of extracting valuable knowledge from the varieties of data currently being generated in the brick and mortar and Internet environments. It considers the broad spectrum of analytics approaches for decision making, including dashboards, OLAP cubes, data mining, and text mining.

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

Author : Singh, Amandeep
Publisher : IGI Global
ISBN 13 : 1799872335
Total Pages : 310 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Big Data Analytics for Improved Accuracy, Efficiency, and Decision Making in Digital Marketing by : Singh, Amandeep

Download or read book Big Data Analytics for Improved Accuracy, Efficiency, and Decision Making in Digital Marketing written by Singh, Amandeep and published by IGI Global. This book was released on 2021-06-18 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Bursting the Big Data Bubble

Author : Jay Liebowitz
Publisher : CRC Press
ISBN 13 : 1040074987
Total Pages : 356 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Bursting the Big Data Bubble by : Jay Liebowitz

Download or read book Bursting the Big Data Bubble written by Jay Liebowitz and published by CRC Press. This book was released on 2014-07-25 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: As we get caught up in the quagmire of big data and analytics, it is important to be able to reflect and apply insights, experience, and intuition as part of the decision-making process. This book focuses on this intuition-based decision making. The first part of the book presents contributions from leading researchers worldwide on the topic of intuition-based decision making as applied to management. In the second part, executives and senior managers in industry, government, universities, and not-for-profits present vignettes that illustrate how they have used intuition in making key decisions.

Organizing Smart Buildings and Cities

Author : Elisabetta Magnaghi
Publisher : Springer Nature
ISBN 13 : 3030606074
Total Pages : 190 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Organizing Smart Buildings and Cities by : Elisabetta Magnaghi

Download or read book Organizing Smart Buildings and Cities written by Elisabetta Magnaghi and published by Springer Nature. This book was released on 2021-02-01 with total page 190 pages. Available in PDF, EPUB and Kindle. Book excerpt: The United Nations included sustainable cities and communities in its 2030 SDGs. Cities and, on a smaller scale, neighborhoods, building managers and firms are now adopting technologies and information systems to help achieve the energy, economic, social and environmental transition. This volume gathers contributions on the key organizational success factors for this transition. To do so, it analyzes the role of information systems, use of data, and technological assistance solutions from multiple perspectives. The goal is to develop a framework that can successfully apply information systems to organizational and environmental issues for smart cities and smart buildings. Accordingly, the book addresses living-lab experiment evaluation techniques, and provides critical analyses of the role of the environment, context and users’ behavioral responses. In addition, it discusses key questions on the efficient management of resources, need for appropriate IT solutions, and employing co-creation with users to improve planning and organization.

Artificial Intelligence for Big Data

Author : Anand Deshpande
Publisher : Packt Publishing Ltd
ISBN 13 : 1788476018
Total Pages : 371 pages
Book Rating : 4.7/5 (884 download)

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Book Synopsis Artificial Intelligence for Big Data by : Anand Deshpande

Download or read book Artificial Intelligence for Big Data written by Anand Deshpande and published by Packt Publishing Ltd. This book was released on 2018-05-22 with total page 371 pages. Available in PDF, EPUB and Kindle. Book excerpt: Build next-generation Artificial Intelligence systems with Java Key Features Implement AI techniques to build smart applications using Deeplearning4j Perform big data analytics to derive quality insights using Spark MLlib Create self-learning systems using neural networks, NLP, and reinforcement learning Book Description In this age of big data, companies have larger amount of consumer data than ever before, far more than what the current technologies can ever hope to keep up with. However, Artificial Intelligence closes the gap by moving past human limitations in order to analyze data. With the help of Artificial Intelligence for big data, you will learn to use Machine Learning algorithms such as k-means, SVM, RBF, and regression to perform advanced data analysis. You will understand the current status of Machine and Deep Learning techniques to work on Genetic and Neuro-Fuzzy algorithms. In addition, you will explore how to develop Artificial Intelligence algorithms to learn from data, why they are necessary, and how they can help solve real-world problems. By the end of this book, you'll have learned how to implement various Artificial Intelligence algorithms for your big data systems and integrate them into your product offerings such as reinforcement learning, natural language processing, image recognition, genetic algorithms, and fuzzy logic systems. What you will learn Manage Artificial Intelligence techniques for big data with Java Build smart systems to analyze data for enhanced customer experience Learn to use Artificial Intelligence frameworks for big data Understand complex problems with algorithms and Neuro-Fuzzy systems Design stratagems to leverage data using Machine Learning process Apply Deep Learning techniques to prepare data for modeling Construct models that learn from data using open source tools Analyze big data problems using scalable Machine Learning algorithms Who this book is for This book is for you if you are a data scientist, big data professional, or novice who has basic knowledge of big data and wish to get proficiency in Artificial Intelligence techniques for big data. Some competence in mathematics is an added advantage in the field of elementary linear algebra and calculus.

Information For Efficient Decision Making: Big Data, Blockchain And Relevance

Author : Kashi R Balachandran
Publisher : World Scientific
ISBN 13 : 9811220484
Total Pages : 715 pages
Book Rating : 4.8/5 (112 download)

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Book Synopsis Information For Efficient Decision Making: Big Data, Blockchain And Relevance by : Kashi R Balachandran

Download or read book Information For Efficient Decision Making: Big Data, Blockchain And Relevance written by Kashi R Balachandran and published by World Scientific. This book was released on 2020-11-19 with total page 715 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Enterprise 2.0

Author : Andrew McAfee
Publisher : Harvard Business Press
ISBN 13 : 1422125874
Total Pages : 249 pages
Book Rating : 4.4/5 (221 download)

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Book Synopsis Enterprise 2.0 by : Andrew McAfee

Download or read book Enterprise 2.0 written by Andrew McAfee and published by Harvard Business Press. This book was released on 2009 with total page 249 pages. Available in PDF, EPUB and Kindle. Book excerpt: In just a few years, Web 2.0 communities have demonstrated astonishing levels of innovation, knowledge accumulation, collaboration, and collective intelligence. Now, leading organizations are bringing the Web's novel tools and philosophies inside, creating Enterprise 2.0.

Big Data Analytics

Author : Kim H. Pries
Publisher : CRC Press
ISBN 13 : 1482234521
Total Pages : 564 pages
Book Rating : 4.4/5 (822 download)

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Book Synopsis Big Data Analytics by : Kim H. Pries

Download or read book Big Data Analytics written by Kim H. Pries and published by CRC Press. This book was released on 2015-02-05 with total page 564 pages. Available in PDF, EPUB and Kindle. Book excerpt: With this book, managers and decision makers are given the tools to make more informed decisions about big data purchasing initiatives. Big Data Analytics: A Practical Guide for Managers not only supplies descriptions of common tools, but also surveys the various products and vendors that supply the big data market.Comparing and contrasting the dif

Big Data

Author : Viktor Mayer-Schönberger
Publisher : Houghton Mifflin Harcourt
ISBN 13 : 0544002695
Total Pages : 257 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Big Data by : Viktor Mayer-Schönberger

Download or read book Big Data written by Viktor Mayer-Schönberger and published by Houghton Mifflin Harcourt. This book was released on 2013 with total page 257 pages. Available in PDF, EPUB and Kindle. Book excerpt: A exploration of the latest trend in technology and the impact it will have on the economy, science, and society at large.

The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies

Author : Erik Brynjolfsson
Publisher : W. W. Norton & Company
ISBN 13 : 0393239357
Total Pages : 320 pages
Book Rating : 4.3/5 (932 download)

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Book Synopsis The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies by : Erik Brynjolfsson

Download or read book The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies written by Erik Brynjolfsson and published by W. W. Norton & Company. This book was released on 2014-01-20 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: The big stories -- The skills of the new machines : technology races ahead -- Moore's law and the second half of the chessboard -- The digitization of just about everything -- Innovation : declining or recombining? -- Artificial and human intelligence in the second machine age -- Computing bounty -- Beyond GDP -- The spread -- The biggest winners : stars and superstars -- Implications of the bounty and the spread -- Learning to race with machines : recommendations for individuals -- Policy recommendations -- Long-term recommendations -- Technology and the future (which is very different from "technology is the future").

Big Data Driven Supply Chain Management

Author : Nada R. Sanders
Publisher : Pearson Education
ISBN 13 : 0133762823
Total Pages : 273 pages
Book Rating : 4.1/5 (337 download)

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Book Synopsis Big Data Driven Supply Chain Management by : Nada R. Sanders

Download or read book Big Data Driven Supply Chain Management written by Nada R. Sanders and published by Pearson Education. This book was released on 2014-05-07 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master a complete, five-step roadmap for leveraging Big Data and analytics to gain unprecedented competitive advantage from your supply chain. Using Big Data, pioneers such as Amazon, UPS, and Wal-Mart are gaining unprecedented mastery over their supply chains. They are achieving greater visibility into inventory levels, order fulfillment rates, material and product delivery… using predictive data analytics to match supply with demand; leveraging new planning strengths to optimize their sales channel strategies; optimizing supply chain strategy and competitive priorities; even launching powerful new ventures. Despite these opportunities, many supply chain operations are gaining limited or no value from Big Data. In Big Data Driven Supply Chain Management, Nada Sanders presents a systematic five-step framework for using Big Data in supply chains. You'll learn best practices for segmenting and analyzing customers, defining competitive priorities for each segment, aligning functions behind strategy, dissolving organizational boundaries to sense demand and make better decisions, and choose the right metrics to support all of this. Using these techniques, you can overcome the widespread obstacles to making the most of Big Data in your supply chain — and earn big profits from the data you're already generating. For all executives, managers, and analysts interested in using Big Data technologies to improve supply chain performance.

Big Data and Business Analytics

Author : Jay Liebowitz
Publisher : CRC Press
ISBN 13 : 1466565799
Total Pages : 304 pages
Book Rating : 4.4/5 (665 download)

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Book Synopsis Big Data and Business Analytics by : Jay Liebowitz

Download or read book Big Data and Business Analytics written by Jay Liebowitz and published by CRC Press. This book was released on 2016-04-19 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: "The chapters in this volume offer useful case studies, technical roadmaps, lessons learned, and a few prescriptions todo this, avoid that.'"-From the Foreword by Joe LaCugna, Ph.D., Enterprise Analytics and Business Intelligence, Starbucks Coffee CompanyWith the growing barrage of "big data," it becomes vitally important for organizations to mak

Big Data

Author : Bernard Marr
Publisher : John Wiley & Sons
ISBN 13 : 1118965787
Total Pages : 256 pages
Book Rating : 4.1/5 (189 download)

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Book Synopsis Big Data by : Bernard Marr

Download or read book Big Data written by Bernard Marr and published by John Wiley & Sons. This book was released on 2015-01-09 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: Convert the promise of big data into real world results There is so much buzz around big data. We all need to know what it is and how it works - that much is obvious. But is a basic understanding of the theory enough to hold your own in strategy meetings? Probably. But what will set you apart from the rest is actually knowing how to USE big data to get solid, real-world business results - and putting that in place to improve performance. Big Data will give you a clear understanding, blueprint, and step-by-step approach to building your own big data strategy. This is a well-needed practical introduction to actually putting the topic into practice. Illustrated with numerous real-world examples from a cross section of companies and organisations, Big Data will take you through the five steps of the SMART model: Start with Strategy, Measure Metrics and Data, Apply Analytics, Report Results, Transform. Discusses how companies need to clearly define what it is they need to know Outlines how companies can collect relevant data and measure the metrics that will help them answer their most important business questions Addresses how the results of big data analytics can be visualised and communicated to ensure key decisions-makers understand them Includes many high-profile case studies from the author's work with some of the world's best known brands