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Can lend chapters, not whole ebooks
Title
Big data and analytics [electronic resource] : strategic and organizational impacts / Vincenzo Morabito.
ISBN
9783319106656 electronic book
3319106651 electronic book
9783319106649
Published
Cham [Switzerland] : Springer, [2015]
Language
English
Description
1 online resource : illustrations
Other Standard Identifiers
10.1007/978-3-319-10665-6 doi
Call Number
QA76.9.D343 M67 2015eb
Dewey Decimal Classification
005.7
Summary
This book presents and discusses the main strategic and organizational challenges posed by Big Data and analytics in a manner relevant to both practitioners and scholars. The first part of the book analyzes strategic issues relating to the growing relevance of Big Data and analytics for competitive advantage, which is also attributable to empowerment of activities such as consumer profiling, market segmentation, and development of new products or services. Detailed consideration is also given to the strategic impact of Big Data and analytics on innovation in domains such as government and education and to Big Data-driven business models. The second part of the book addresses the impact of Big Data and analytics on management and organizations, focusing on challenges for governance, evaluation, and change management, while the concluding part reviews real examples of Big Data and analytics innovation at the global level. The text is supported by informative illustrations and case studies, so that practitioners can use the book as a toolbox to improve understanding and exploit business opportunities related to Big Data and analytics.
Bibliography, etc. Note
Includes bibliographical references and index.
Access Note
Access limited to authorized users.
Available in Other Form
Print version: 9783319106649
Part I. Strategy
1. Big Data and analytics for competitive advantage
2. Big Data and analytics for government innovation
3. Big Data and education: massive digital education systems
4. Big Data driven business models
Part II. Organization
5. Big Data governance
6. Big Data and digital business evaluation
7. Managing change for Big Data driven innovation
Part III. Innovation practices
8. Big Data and analytics innovation practices
9. Conclusion.
