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Predictive Analytics, Data Mining and Big Data: Myths, Misconceptions and Methods (Business in the Digital Economy) - Softcover
Synopsis
This in-depth guide provides managers with a solid understanding of data and data trends, the opportunities that it can offer to businesses, and the dangers of these technologies. Written in an accessible style, Steven Finlay provides a contextual roadmap for developing solutions that deliver benefits to organizations.
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About the Author
Steven Finlay is one of the UK's leading experts on predictive analytics and its application within Big Data environments. He has extensive experience of developing predictive analytics solutions within Financial Services, Retailing and Government organisations. Steven is currently Head of Analytics at HML, the UK's largest provider of mortgage administration services. Previously he has worked as a data scientist, consultant and project manager for a variety of organizations in both the public and private sectors. Steven has a PhD in predictive analytics and is an Honorary Research Fellow in the Management Science Department at Lancaster University in the UK.
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Predictive Analytics, Data Mining and Big Data: Myths, Misconceptions and Methods (Business in the Digital Economy)
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Predictive Analytics, Data Mining and Big Data (Paperback)
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ISBN 10: 1349478687
ISBN 13: 9781349478682
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Paperback. Condition: new. Paperback. This in-depth guide provides managers with a solid understanding of data and data trends, the opportunities that it can offer to businesses, and the dangers of these technologies. Written in an accessible style, Steven Finlay provides a contextual roadmap for developing solutions that deliver benefits to organizations. This in-depth guide provides managers with a solid understanding of data and data trends, the opportunities that it can offer to businesses, and the dangers of these technologies. Written in an accessible style, Steven Finlay provides a contextual roadmap for developing solutions that deliver benefits to organizations. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781349478682
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Predictive Analytics, Data Mining and Big Data
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Paperback. Condition: New. 1st ed. 2014. This in-depth guide provides managers with a solid understanding of data and data trends, the opportunities that it can offer to businesses, and the dangers of these technologies. Written in an accessible style, Steven Finlay provides a contextual roadmap for developing solutions that deliver benefits to organizations. Seller Inventory # LU-9781349478682
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Predictive Analytics, Data Mining and Big Data: Myths, Misconceptions and Methods (Business in the Digital Economy)
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Predictive Analytics, Data Mining and Big Data
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Predictive Analytics, Data Mining and Big Data: Myths, Misconceptions and Methods
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Predictive Analytics, Data Mining and Big Data: Myths, Misconceptions and Methods
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ISBN 13: 9781349478682
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Condition: New. This in-depth guide provides managers with a solid understanding of data and data trends, the opportunities that it can offer to businesses, and the dangers of these technologies. Written in an accessible style, Steven Finlay provides a contextual roadmap for developing solutions that deliver benefits to organizations. Series: Business in the Digital Economy. Num Pages: 272 pages, biography. BIC Classification: KCM; KJC; KJMV3; KJQ; KJS; KJSM. Category: (G) General (US: Trade). Dimension: 161 x 239 x 17. Weight in Grams: 412. . 2014. 1st ed. 2014. Paperback. . . . . Seller Inventory # V9781349478682
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Predictive Analytics, Data Mining and Big Data: Myths, Misconceptions and Methods
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Predictive Analytics, Data Mining and Big Data: Myths, Misconceptions and Methods
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Condition: New. This in-depth guide provides managers with a solid understanding of data and data trends, the opportunities that it can offer to businesses, and the dangers of these technologies. Written in an accessible style, Steven Finlay provides a contextual roadmap for developing solutions that deliver benefits to organizations. Series: Business in the Digital Economy. Num Pages: 272 pages, biography. BIC Classification: KCM; KJC; KJMV3; KJQ; KJS; KJSM. Category: (G) General (US: Trade). Dimension: 161 x 239 x 17. Weight in Grams: 412. . 2014. 1st ed. 2014. Paperback. . . . . Books ship from the US and Ireland. Seller Inventory # V9781349478682
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