Rob Thomas & Patrick McSharry 
Big Data Revolution [PDF ebook] 
What farmers, doctors and insurance agents teach us about discovering big data patterns

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.

Cuprins

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

Despre autor

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 Mc Sharry 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.