About this item
Highlights
- 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.
- About the Author: Rob Thomas is Vice President of Product Development for Big Data and Information Management in IBM Software Group.
- 288 Pages
- Technology, Civil
Description
About the Book
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.Book Synopsis
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.
From the Back Cover
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
About the Author
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.