Edition |
First edition. |
Description |
1 online resource : illustrations (some color), color maps |
Bibliography |
Includes bibliographical references and index. |
Contents |
Chapter 1. Data visualization -- Chapter 2. Analytical aspects of multimedia big data computing and future -- Chapter 3. Predictive analysis: comprehensive study of popular open source tools -- Chapter 4. Market opportunities through effective market analytics -- Chapter 5. Stochastic point process techniques for modelling problems in internet of things (IoT) and marketing -- Chapter 6. Real-Time data analytics -- a contemporary approach towards customer relationship management -- Chapter 7. Application of big data for sustainable rural development with special reference to MNREGA -- Chapter 8. Challenges of digital technologies in the development of supply chains: a guide for their selection. |
Summary |
Data Science and Analytics explores the application of big data and business analytics by academics, researchers, industrial experts, policy makers and practitioners, helping the reader to understand how big data can be efficiently utilized in better managerial applications. |
Local Note |
eBooks on EBSCOhost EBSCO eBook Subscription Academic Collection - North America |
Subject |
Decision making.
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Business intelligence.
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Big data.
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decision making. |
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Management decision making. |
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Business & Economics -- Decision-Making & Problem Solving. |
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Big data |
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Business intelligence |
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Decision making |
Added Author |
Kumari, Sneha, 1988- editor. https://id.oclc.org/worldcat/entity/E39PCjMkpMbfKJbdqv7C4Jx79C
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Tripathy, Kamal K., 1973- editor. https://id.oclc.org/worldcat/entity/E39PCjCP7hdmMX9wGg6byTXCBd
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Kumbhar, Vidya, 1980- editor. https://id.oclc.org/worldcat/entity/E39PCjCtKhG3JW7vJcBfc7Wcrq
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Other Form: |
Print version: 9781800438781 |
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Print version: 180043877X 9781800438774 (OCoLC)1191242678 |
ISBN |
9781800438767 (electronic book) |
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1800438761 (electronic book) |
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1800438788 |
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9781800438781 (electronic book) |
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180043877X |
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9781800438774 |
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