Big Data revolution: what farmers, doctors and insurance agents teach us about discovering Big Data patterns
This is a guide to improving performance, making better decisions, and transforming business through the effective use of big data. It 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 g...
Gespeichert in:
| Beteiligte Personen: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Chichester
John Wiley & Sons
[2015]
|
| Schlagwörter: | |
| Links: | https://learning.oreilly.com/library/view/-/9781118943717/?ar |
| Zusammenfassung: | This is a guide to improving performance, making better decisions, and transforming business through the effective use of big data. It 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. Major trends emerging in the field, the pitfalls and triumphs being experienced, and the many considerations surrounding big data are discussed. It provides the insight executives need to incorporate big data into a better business strategy, improving outcomes with innovation and efficient use of technology. -- |
| Beschreibung: | Includes bibliographical references and index. - Print version record |
| Umfang: | 1 Online-Ressource (xvi, 272 Seiten) illustrations |
| ISBN: | 9781118943731 1118943732 9781118943724 1118943724 9781322593043 1322593043 9781118943717 |
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| spelling | Thomas, Rob VerfasserIn aut Big Data revolution what farmers, doctors and insurance agents teach us about discovering Big Data patterns Rob Thomas, Patrick McSharry Chichester John Wiley & Sons [2015] ©2015 1 Online-Ressource (xvi, 272 Seiten) illustrations Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Includes bibliographical references and index. - Print version record This is a guide to improving performance, making better decisions, and transforming business through the effective use of big data. It 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. Major trends emerging in the field, the pitfalls and triumphs being experienced, and the many considerations surrounding big data are discussed. It provides the insight executives need to incorporate big data into a better business strategy, improving outcomes with innovation and efficient use of technology. -- Decision making Data processing Big data Data mining Organizational effectiveness Data processing Data Mining Prise de décision ; Informatique Données volumineuses Exploration de données (Informatique) Efficacité organisationnelle ; Informatique BUSINESS & ECONOMICS ; Industrial Management BUSINESS & ECONOMICS ; Management BUSINESS & ECONOMICS ; Management Science BUSINESS & ECONOMICS ; Organizational Behavior Decision making ; Data processing dissertations Academic theses Thèses et écrits académiques McSharry, Patrick VerfasserIn aut 9781118943717 Erscheint auch als Druck-Ausgabe 9781118943717 |
| spellingShingle | Thomas, Rob McSharry, Patrick Big Data revolution what farmers, doctors and insurance agents teach us about discovering Big Data patterns Decision making Data processing Big data Data mining Organizational effectiveness Data processing Data Mining Prise de décision ; Informatique Données volumineuses Exploration de données (Informatique) Efficacité organisationnelle ; Informatique BUSINESS & ECONOMICS ; Industrial Management BUSINESS & ECONOMICS ; Management BUSINESS & ECONOMICS ; Management Science BUSINESS & ECONOMICS ; Organizational Behavior Decision making ; Data processing dissertations Academic theses Thèses et écrits académiques |
| title | Big Data revolution what farmers, doctors and insurance agents teach us about discovering Big Data patterns |
| title_auth | Big Data revolution what farmers, doctors and insurance agents teach us about discovering Big Data patterns |
| title_exact_search | Big Data revolution what farmers, doctors and insurance agents teach us about discovering Big Data patterns |
| title_full | Big Data revolution what farmers, doctors and insurance agents teach us about discovering Big Data patterns Rob Thomas, Patrick McSharry |
| title_fullStr | Big Data revolution what farmers, doctors and insurance agents teach us about discovering Big Data patterns Rob Thomas, Patrick McSharry |
| title_full_unstemmed | Big Data revolution what farmers, doctors and insurance agents teach us about discovering Big Data patterns Rob Thomas, Patrick McSharry |
| title_short | Big Data revolution |
| title_sort | big data revolution what farmers doctors and insurance agents teach us about discovering big data patterns |
| title_sub | what farmers, doctors and insurance agents teach us about discovering Big Data patterns |
| topic | Decision making Data processing Big data Data mining Organizational effectiveness Data processing Data Mining Prise de décision ; Informatique Données volumineuses Exploration de données (Informatique) Efficacité organisationnelle ; Informatique BUSINESS & ECONOMICS ; Industrial Management BUSINESS & ECONOMICS ; Management BUSINESS & ECONOMICS ; Management Science BUSINESS & ECONOMICS ; Organizational Behavior Decision making ; Data processing dissertations Academic theses Thèses et écrits académiques |
| topic_facet | Decision making Data processing Big data Data mining Organizational effectiveness Data processing Data Mining Prise de décision ; Informatique Données volumineuses Exploration de données (Informatique) Efficacité organisationnelle ; Informatique BUSINESS & ECONOMICS ; Industrial Management BUSINESS & ECONOMICS ; Management BUSINESS & ECONOMICS ; Management Science BUSINESS & ECONOMICS ; Organizational Behavior Decision making ; Data processing dissertations Academic theses Thèses et écrits académiques |
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