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Predictive analytics, data mining and big data : myths, misconceptions and methods / Steven Finlay.
- Format:
- Book
- Author/Creator:
- Finlay, Steven, 1969-
- Language:
- English
- Subjects (All):
- Consumer profiling.
- Consumer behavior--Forecasting.
- Consumer behavior.
- Management--Data processing.
- Management.
- Business planning--Data processing.
- Business planning.
- Decision making--Data processing.
- Decision making.
- Data mining.
- Big data.
- Physical Description:
- 1 online resource (xii, 248 pages) : illustrations
- Place of Publication:
- Basingstoke, Hampshire ; New York, NY : Palgrave Macmillan, 2014.
- System Details:
- text file
- Summary:
- Digital technologies are revolutionizing the business world by challenging existing practices and enabling a new generation of business models. Business in the digital economy is an accessible new series of books that tackle the business impacts of technology for the emerging digital economy. Aimed at non-technical, mid-senior executives and business managers, this series will help inform choices and guide decision making on all major technological trends and their implications for business. Book jacket.
- Contents:
- Machine generated contents note:
- 1. Introduction
- 2. Using Predictive Models
- 3. Analytics, Organization and Culture
- 4. The Value of Data
- 5. Ethics and Legislation
- 6. Types of Predictive Models
- 7. The Predictive Analytics Process
- 8. How to Build a Predictive Model
- 9. Text Mining and Social Network Analysis
- 10. Hardware, Software and All That Jazz.
- 1. Introduction
- 2. Using predictive models
- 3. Analytics, organization and culture
- 4. The value of data
- 5. Ethics and legislation
- 6. Types of predictive models
- 7. The predictive analytics process
- 8. How to build a predictive model
- 9. Text mining and social network analysis
- 10. Hardware, software and all that jazz.
- Notes:
- Includes bibliographical references (pages 227-245) and index.
- Electronic reproduction. Ann Arbor, MI Available via World Wide Web.
- Description based on print version record.
- Local Notes:
- Acquired for the Penn Libraries with assistance from the Edward Giera and Kimberly Hirschman Fund.
- ISBN:
- 9781137379283
- 1137379286
- Publisher Number:
- 99978027299
- Access Restriction:
- Restricted for use by site license.
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