Big Data For Big Decisions

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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 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

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

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

Big Data for Big Decisions

Author : Krishna Pera
Publisher : CRC Press
ISBN 13 : 1000816966
Total Pages : 282 pages
Book Rating : 4.0/5 (8 download)

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Book Synopsis Big Data for Big Decisions by : Krishna Pera

Download or read book Big Data for Big Decisions written by Krishna Pera and published by CRC Press. This book was released on 2022-12-30 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

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.

Bursting the Big Data Bubble

Author : Jay Liebowitz
Publisher : CRC Press
ISBN 13 : 1482228858
Total Pages : 356 pages
Book Rating : 4.4/5 (822 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 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. Bursting the Big Data Bubble: The Case for Intuition-Based Decision Making focuses on this intuition-based decision making. The book does not discount data-based decision making, especially for decisions that are important and complex. Instead, it emphasizes the importance of applying intuition, gut feel, spirituality, experiential learning, and insight as key factors in the executive decision-making process. Explaining how intuition is a product of past experience, learning, and ambient factors, the text outlines methods that will help to enhance your data-driven decision-making process with intuition-based decision making. The first part of the book, the "Research Track", presents contributions from leading researchers worldwide on the topic of intuition-based decision making as applied to management. In the second part of the book, the "Practice Track," global executives and senior managers in industry, government, universities, and not-for-profits present vignettes that illustrate how they have used their intuition in making key decisions. The research part of the book helps to frame the problem and address leading research in intuition-based decision making. The second part then explains how to apply these intuition-based concepts and issues in your own decision-making process.

Big Data Analytics Using Multiple Criteria Decision-Making Models

Author : Ramakrishnan Ramanathan
Publisher : CRC Press
ISBN 13 : 1351648691
Total Pages : 569 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 569 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.

Big Data at Work

Author : Thomas Davenport
Publisher : Harvard Business Review Press
ISBN 13 : 1422168174
Total Pages : 241 pages
Book Rating : 4.4/5 (221 download)

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Book Synopsis Big Data at Work by : Thomas Davenport

Download or read book Big Data at Work written by Thomas Davenport and published by Harvard Business Review Press. This book was released on 2014-02-04 with total page 241 pages. Available in PDF, EPUB and Kindle. Book excerpt: Go ahead, be skeptical about big data. The author was—at first. When the term “big data” first came on the scene, bestselling author Tom Davenport (Competing on Analytics, Analytics at Work) thought it was just another example of technology hype. But his research in the years that followed changed his mind. Now, in clear, conversational language, Davenport explains what big data means—and why everyone in business needs to know about it. Big Data at Work covers all the bases: what big data means from a technical, consumer, and management perspective; what its opportunities and costs are; where it can have real business impact; and which aspects of this hot topic have been oversold. This book will help you understand: • Why big data is important to you and your organization • What technology you need to manage it • How big data could change your job, your company, and your industry • How to hire, rent, or develop the kinds of people who make big data work • The key success factors in implementing any big data project • How big data is leading to a new approach to managing analytics With dozens of company examples, including UPS, GE, Amazon, United Healthcare, Citigroup, and many others, this book will help you seize all opportunities—from improving decisions, products, and services to strengthening customer relationships. It will show you how to put big data to work in your own organization so that you too can harness the power of this ever-evolving new resource.

Big Data Analytics

Author : Kim H. Pries
Publisher : CRC Press
ISBN 13 : 1482234521
Total Pages : 576 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 576 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

Too Big to Ignore

Author : Phil Simon
Publisher : John Wiley & Sons
ISBN 13 : 1119217849
Total Pages : 256 pages
Book Rating : 4.1/5 (192 download)

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Book Synopsis Too Big to Ignore by : Phil Simon

Download or read book Too Big to Ignore written by Phil Simon and published by John Wiley & Sons. This book was released on 2015-11-02 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: Residents in Boston, Massachusetts are automatically reporting potholes and road hazards via their smartphones. Progressive Insurance tracks real-time customer driving patterns and uses that information to offer rates truly commensurate with individual safety. Google accurately predicts local flu outbreaks based upon thousands of user search queries. Amazon provides remarkably insightful, relevant, and timely product recommendations to its hundreds of millions of customers. Quantcast lets companies target precise audiences and key demographics throughout the Web. NASA runs contests via gamification site TopCoder, awarding prizes to those with the most innovative and cost-effective solutions to its problems. Explorys offers penetrating and previously unknown insights into healthcare behavior. How do these organizations and municipalities do it? Technology is certainly a big part, but in each case the answer lies deeper than that. Individuals at these organizations have realized that they don't have to be Nate Silver to reap massive benefits from today's new and emerging types of data. And each of these organizations has embraced Big Data, allowing them to make astute and otherwise impossible observations, actions, and predictions. It's time to start thinking big. In Too Big to Ignore, recognized technology expert and award-winning author Phil Simon explores an unassailably important trend: Big Data, the massive amounts, new types, and multifaceted sources of information streaming at us faster than ever. Never before have we seen data with the volume, velocity, and variety of today. Big Data is no temporary blip of fad. In fact, it is only going to intensify in the coming years, and its ramifications for the future of business are impossible to overstate. Too Big to Ignore explains why Big Data is a big deal. Simon provides commonsense, jargon-free advice for people and organizations looking to understand and leverage Big Data. Rife with case studies, examples, analysis, and quotes from real-world Big Data practitioners, the book is required reading for chief executives, company owners, industry leaders, and business professionals.

Knowledge Management and Big Data Analytics for Strategic Decision Making

Author : Abdalmuttaleb M.A. Musleh Al-Sartawi
Publisher : Engineering Science Reference
ISBN 13 : 9781799855521
Total Pages : 325 pages
Book Rating : 4.8/5 (555 download)

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Book Synopsis Knowledge Management and Big Data Analytics for Strategic Decision Making by : Abdalmuttaleb M.A. Musleh Al-Sartawi

Download or read book Knowledge Management and Big Data Analytics for Strategic Decision Making written by Abdalmuttaleb M.A. Musleh Al-Sartawi and published by Engineering Science Reference. This book was released on 2020-08 with total page 325 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book addresses the multiple strands that feed into our understanding of sustainable big data and data analytics, as well as knowledge management"--

Big Data for Big Decisions

Author : Krishna Pera
Publisher : CRC Press
ISBN 13 : 1000816893
Total Pages : 266 pages
Book Rating : 4.0/5 (8 download)

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Book Synopsis Big Data for Big Decisions by : Krishna Pera

Download or read book Big Data for Big Decisions written by Krishna Pera and published by CRC Press. This book was released on 2022-12-30 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Big Data in Practice

Author : Bernard Marr
Publisher : John Wiley & Sons
ISBN 13 : 1119231396
Total Pages : 320 pages
Book Rating : 4.1/5 (192 download)

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Book Synopsis Big Data in Practice by : Bernard Marr

Download or read book Big Data in Practice written by Bernard Marr and published by John Wiley & Sons. This book was released on 2016-03-22 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: The best-selling author of Big Data is back, this time with a unique and in-depth insight into how specific companies use big data. Big data is on the tip of everyone's tongue. Everyone understands its power and importance, but many fail to grasp the actionable steps and resources required to utilise it effectively. This book fills the knowledge gap by showing how major companies are using big data every day, from an up-close, on-the-ground perspective. From technology, media and retail, to sport teams, government agencies and financial institutions, learn the actual strategies and processes being used to learn about customers, improve manufacturing, spur innovation, improve safety and so much more. Organised for easy dip-in navigation, each chapter follows the same structure to give you the information you need quickly. For each company profiled, learn what data was used, what problem it solved and the processes put it place to make it practical, as well as the technical details, challenges and lessons learned from each unique scenario. Learn how predictive analytics helps Amazon, Target, John Deere and Apple understand their customers Discover how big data is behind the success of Walmart, LinkedIn, Microsoft and more Learn how big data is changing medicine, law enforcement, hospitality, fashion, science and banking Develop your own big data strategy by accessing additional reading materials at the end of each chapter

Big Data Revolution

Author : Rob Thomas
Publisher : John Wiley & Sons
ISBN 13 : 1118943716
Total Pages : 294 pages
Book Rating : 4.1/5 (189 download)

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Book Synopsis Big Data Revolution by : Rob Thomas

Download or read book Big Data Revolution written by Rob Thomas and published by John Wiley & Sons. This book was released on 2015-03-02 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: Exploit the power and potential of Big Data to revolutionize business outcomes Big Data Revolution is a guide to improving performance, making better decisions, and transforming business through the effective use of Big Data. In this collaborative work by an IBM Vice President of Big Data Products and an Oxford Research Fellow, this book presents inside stories that demonstrate the power and potential of Big Data within the business realm. Readers are guided through tried-and-true methodologies for getting more out of data, and using it to the utmost advantage. This book describes the major trends emerging in the field, the pitfalls and triumphs being experienced, and the many considerations surrounding Big Data, all while guiding readers toward better decision making from the perspective of a data scientist. Companies are generating data faster than ever before, and managing that data has become a major challenge. With the right strategy, Big Data can be a powerful tool for creating effective business solutions – but deep understanding is key when applying it to individual business needs. Big Data Revolution provides the insight executives need to incorporate Big Data into a better business strategy, improving outcomes with innovation and efficient use of technology. Examine the major emerging patterns in Big Data Consider the debate surrounding the ethical use of data Recognize patterns and improve personal and organizational performance Make more informed decisions with quantifiable results In an information society, it is becoming increasingly important to make sense of data in an economically viable way. It can drive new revenue streams and give companies a competitive advantage, providing a way forward for businesses navigating an increasingly complex marketplace. Big Data Revolution provides expert insight on the tool that can revolutionize industries.

From Big Data to Big Decisions

Author : Forte Wares
Publisher : Forte Wares
ISBN 13 :
Total Pages : 8 pages
Book Rating : 4./5 ( download)

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Book Synopsis From Big Data to Big Decisions by : Forte Wares

Download or read book From Big Data to Big Decisions written by Forte Wares and published by Forte Wares. This book was released on with total page 8 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Big Data, Big Dupe

Author : Stephen Few
Publisher :
ISBN 13 : 9781938377105
Total Pages : 0 pages
Book Rating : 4.3/5 (771 download)

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Book Synopsis Big Data, Big Dupe by : Stephen Few

Download or read book Big Data, Big Dupe written by Stephen Few and published by . This book was released on 2018-02 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Argues against the value of big data, suggesting that it is a marketing campaign that distracts from the real and important work of deriving value from data.