Big Data Revolution - What Farmers, Doctors and Insurance Agents Teach Us About Discovering Big Data Patterns
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Big Data Revolution - What Farmers, Doctors and Insurance Agents Teach Us About Discovering Big Data Patterns

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Description

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.
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Product details

  • Paperback | 288 pages
  • 149.86 x 226.06 x 17.78mm | 399.99g
  • John Wiley & Sons Inc
  • New York, United States
  • English
  • 1. Auflage
  • 1118943716
  • 9781118943717
  • 572,753

Back cover copy

REVOLUTIONIZE BUSINESS WITH THE POWER OF BIG DATA Big Data can be a powerful tool for creating effective business solutions, but formulating and executing the right strategy requires a deep understanding of an increasingly complex subject. Big Data Revolution highlights the power, potential, and pitfalls of Big Data, providing the insight you need to improve business outcomes with innovation and the efficient use of technology. Companies are generating data faster than ever before, and that data can be leveraged to transform industries. Drive better business by exploiting Big Data capabilities. Examine major Big Data patterns and recognize future patterns as they emerge Develop a governance and security strategy for the ethical use of data Improve personal and organizational performance with tested methodologies Make better, more informed decisions with quantifiable results Define new business processes based on current and future data assets
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About Rob Thomas

Rob Thomas is Vice President of Product Development for Big Data and Information Management in IBM Software Group. Previously, he had responsibility for global sales and mergers & acquisitions. Patrick McSharry is a Senior Research Fellow at the Smith School of Enterprise and the Environment, Faculty Member of the Oxford Man Institute of Quantitative Finance at Oxford University and Visiting Professor at the Department of Electrical and Computer Engineering, Carnegie Mellon University.
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Table of contents

Prologue 1 Introduction 7 PART I: THE REVOLUTION STARTS NOW: 9 INDUSTRIES TRANSFORMING WITH DATA 15 Chapter 1: Transforming Farms with Data 17 Chapter 2: Why Doctors Will Have Math Degrees 31 Chapter 3: Revolutionizing Insurance: Why Actuaries Will Become Data Scientists 45 Chapter 4: Personalizing Retail and Fashion 59 Chapter 5: Transforming Customer Relationships with Data 69 Chapter 6: Intelligent Machines 79 Chapter 7: Government and Society 89 Chapter 8: Corporate Sustainability 107 Chapter 9: Weather and Energy 119 PART II: LEARNING FROM PATTERNS IN BIG DATA 131 Chapter 10: Pattern Recognition 133 Chapter 11: Why Patterns in Big Data Have Emerged 141 Chapter 12: Patterns in Big Data 153 PART III: LEADING THE REVOLUTION 171 Chapter 13: The Data Opportunity 173 Chapter 14: Porsche 177 Chapter 15: Puma 181 Chapter 16: A Methodology for Applying Big Data Patterns 185 Chapter 17: Big Data Architecture 205 Chapter 18: Business View Reference Architecture 215 Chapter 19: Logical View Reference Architecture 223 Chapter 20: The Architecture of the Future 233 Epilogue 249 INDEX 255
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18 ratings
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2 17% (3)
1 6% (1)
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