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

  • 4h 30m
  • Patrick McSharry, Rob Thomas
  • John Wiley & Sons (UK)
  • 2015

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.

About the Authors

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.

In this Book

  • Prologue
  • Introduction
  • Transforming Farms with Data
  • Why Doctors Will Have Math Degrees
  • Revolutionizing Insurance—Why Actuaries Will Become Data Scientists
  • Personalizing Retail and Fashion
  • Transforming Customer Relationships with Data
  • Intelligent Machines
  • Government and Society
  • Corporate Sustainability
  • Weather and Energy
  • Pattern Recognition
  • Why Patterns in Big Data Have Emerged
  • Patterns in Big Data
  • The Data Opportunity
  • Porsche
  • Puma
  • A Methodology for Applying Big Data Patterns
  • Big Data Architecture
  • Business View Reference Architecture
  • Logical View Reference Architecture
  • The Architecture of the Future
  • Epilogue