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Data Analytics for Business
- Author
- Ira J. Haimowitz
- Narrator
- Ray Greenley
- Publisher
- Tantor Media, Inc
- Publish Date
- 10 September 2024
- Run Time
- 6 hours 12 minutes
- Format
- Audiobook
What to expect
The foundation of this text is the author's twenty-plus years of developing and delivering big data and artificial intelligence solutions across multiple industries: financial services, pharmaceuticals, consumer packaged goods, media, and retail. He provides guidelines and summarized cases for those studying or working in the fields of data science, data engineering, and business analytics. The book also offers a distinctive style: a series of essays, each of which summarizes a critical lesson or provides a step-by-step business process, with specific examples of successes and failures.
Sales and marketing executives, project managers, business and engineering professionals, and graduate students will find this clear and comprehensive book the ideal companion when navigating the complex world of big data analytics.
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Details
- Author
- Ira J. Haimowitz
- Narrator
- Ray Greenley
- Duration
- 6 hours 12 minutes
- Release Date
- 10 September 2024
- ISBN
- 9798350837384
- Format
- Audiobook
- Publisher
- Tantor Media, Inc
- Genre
- Management decision making, Market research, Knowledge management, Economic forecasting, Project management
Synopsis
Interest in applying analytics, machine learning, and artificial intelligence to sales and marketing has grown dramatically, with no signs of slowing down. This book provides essential guidance to apply advanced analytics and data mining techniques to real-world business applications.The foundation of this text is the author's twenty-plus years of developing and delivering big data and artificial intelligence solutions across multiple industries: financial services, pharmaceuticals, consumer packaged goods, media, and retail. He provides guidelines and summarized cases for those studying or working in the fields of data science, data engineering, and business analytics. The book also offers a distinctive style: a series of essays, each of which summarizes a critical lesson or provides a step-by-step business process, with specific examples of successes and failures.Sales and marketing executives, project managers, business and engineering professionals, and graduate students will find this clear and comprehensive book the ideal companion when navigating the complex world of big data analytics.
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