Big data analytics : (Record no. 30970)
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| LIBRARY OF CONGRESS CONTROL NUMBER | |
|---|---|
| LC control number | 2016940111 |
| INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9783319389912 |
| DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Call number | 658.403 CO BI |
| MAIN ENTRY--PERSONAL NAME | |
| Authors | Corea, Francesco |
| TITLE STATEMENT | |
| Title | Big data analytics : |
| Subtitle | a management perspective |
| Statement of responsibility, etc | Francesco Corea |
| PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication | Switzerland : |
| Publisher | Springer, |
| Date | c2016. |
| PHYSICAL DESCRIPTION | |
| Extent | xiii, 48 p. : |
| Other Details | ill. ; |
| Size | 25 cm. |
| SERIES STATEMENT | |
| Series statement | Studies in big data ; |
| Volume number | 21 |
| CONTENTS | |
| Contents | Introduction -- What Data Science Means to the Business -- Key Data Challenges to Strategic Business Decisions -- A Chimera Called Data Scientist: Why they don't Exist (but they will in the Future) -- Future Data Trends -- Where are we Going? The Path Toward an Artificial Intelligence -- Conclusions. |
| SUMMARY | |
| Summary | This book is about innovation, big data, and data science seen from a business perspective. Big data is a buzzword nowadays, and there is a growing necessity within practitioners to understand better the phenomenon, starting from a clear stated definition. This book aims to be a starting reading for executives who want (and need) to keep the pace with the technological breakthrough introduced by new analytical techniques and piles of data. Common myths about big data will be explained, and a series of different strategic approaches will be provided. By browsing the book, it will be possible to learn how to implement a big data strategy and how to use a maturity framework to monitor the progress of the data science team, as well as how to move forward from one stage to the next. Crucial challenges related to big data will be discussed, where some of them are more general - such as ethics, privacy, and ownership - while others concern more specific business situations (e.g., initial public offering, growth strategies, etc.). The important matter of selecting the right skills and people for an effective team will be extensively explained, and practical ways to recognize them and understanding their personalities will be provided. Finally, few relevant technological future trends will be acknowledged (i.e., IoT, Artificial intelligence, the blockchain, etc.), especially for their close relation to the increasing amount of data and our ability to analyze them faster and more effectively. |
| SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Heading | Big data |
| SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Heading | Management information systems |
| MAIN ENTRY--PERSONAL NAME | |
| -- | 2240 |
| SUBJECT ADDED ENTRY--TOPICAL TERM | |
| -- | 2241 |
| SUBJECT ADDED ENTRY--TOPICAL TERM | |
| -- | 918 |
| Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Permanent location | Current location | Shelving location | Date acquired | Source of acquisition | Full call number | Barcode | Date last seen | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| University of Wollongong in Dubai | University of Wollongong in Dubai | Main Collection | 2017-05-16 | KINOKUNIYA | 658.403 CO BI | T0055964 | 2017-05-24 | 2017-03-27 | REGULAR |