Book description
Exploit the power and potential of Big Data to revolutionize business outcomesBig 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.
Table of contents
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- Prologue
- Introduction
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Part I: The Revolution Starts Now: 9 Industries Transforming with Data
- Chapter 1: Transforming Farms with Data
- Chapter 2: Why Doctors Will Have Math Degrees
- Chapter 3: Revolutionizing Insurance: Why Actuaries Will Become Data Scientists
- Chapter 4: Personalizing retail and fashion
- Chapter 5: Transforming Customer relationships with data
- Chapter 6: Intelligent Machines
- Chapter 7: Government and Society
- Chapter 8: Corporate Sustainability
- Chapter 9: Weather and Energy
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Part II: Learning from Patterns in Big Data
- Chapter 10: Pattern Recognition
- Chapter 11: Why Patterns in Big Data Have Emerged
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Chapter 12: Patterns in Big Data
- The Data Factor
-
Summary of Big Data Patterns
- Redefining a Skilled Worker
- Creating and Utilizing New Sources of Data
- Building New Data Applications
- Transforming and Creating New Business Processes
- Data Collection for Competitive Advantage
- Exposing Opinion-Based Biases
- Real-Time Monitoring and Decision Making
- Social Networks Leveraging and Creating Data
- Deconstructing the Value Chain
- New Product Offerings
- Building for Customers Instead of Markets
- Tradeoff Between Privacy and Insight
- Changing the Definition of a Product
- Inverting the Search Paradigm for Data Discovery
- Data Security
- New Partnerships Founded on Data
- Shortening the Innovation Lifecycle
- Defining New Channels to Market
- New Economic Models
- Forecasting and Predicting Future Events
- Changing Incentives
- New Partnerships (Public/Private)
- Real-Time Monitoring and Decision Making (Early Warning Systems)
- A Framework for Big Data Patterns
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Part III: Leading the Revolution
- Chapter 13: The Data Opportunity
- Chapter 14: Porsche
- Chapter 15: Puma
- Chapter 16: Patterns in Big Data
- Chapter 17: Big Data Architecture
- Chapter 18: Business View Reference Architecture
- Chapter 19: Logical View Reference Architecture
- Chapter 20: The Architecture of the Future
- Epilogue
- End User License Agreement
Product information
- Title: Big Data Revolution
- Author(s):
- Release date: March 2015
- Publisher(s): Wiley
- ISBN: 9781118943717
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