Business & Economics
Data-Enabled Analytics: DEA for Big Data: 312 (International Series in Operations Research & Management Science, 312) | Hardcover | Business & Economics
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Specifications
| publisher | Springer Nature |
| isbn13 | 9783030751616 |
| isbn10 | 3030751619 |
| binding | hardcover |
| language | english |
| edition | 2021 ed. |
| pages | 364 |
| publication_date | 2021-12-17 |
Product Description
Here on GlowMirror, you'll find Data-Enabled Analytics: DEA for Big Data: 312 (International Series in Operations Research & Management Science, 312) | Hardcover | Business & Economics filed under Business & Economics -- everything you need to know is covered below.
About this book
Data-Enabled Analytics: DEA for Big Data: 312 (International Series in Operations Research & Management Science, 312) published by Springer Nature.
Related topics
efficiency, big data, best-practice, data envelopment analysis, data-enabled analytics, data science, forecasting, large-scale computations.
Book Insights
What You'll Learn
- ·Strategic frameworks and business concepts in Data-Enabled Analytics: DEA for Big Data: 312 (International Series in Operations Research & Management Science, 312) | Hardcover | Business & Economics
- ·Case studies from successful companies and leaders
- ·Practical tools for decision-making and management
Who Should Read This
Business professionals, entrepreneurs, managers, and MBA students.
Key Highlights
- ·Brand new physical book delivered across India
- ·15-day hassle-free return policy
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Is Data-Enabled Analytics: DEA for Big Data: 312 (International Series in Operations Research & Management Science, 312) | Hardcover | Business & Economics available in English?
Data-Enabled Analytics: DEA for Big Data: 312 (International Series in Operations Research & Management Science, 312) | Hardcover | Business & Economics is available in english on GlowMirror.
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Data-Enabled Analytics: DEA for Big Data: 312 (International Series in Operations Research & Management Science, 312) | Hardcover | Business & Economics is published by Springer Nature.
How many pages does Data-Enabled Analytics: DEA for Big Data: 312 (International Series in Operations Research & Management Science, 312) | Hardcover | Business & Economics have?
Data-Enabled Analytics: DEA for Big Data: 312 (International Series in Operations Research & Management Science, 312) | Hardcover | Business & Economics has 364 pages.
How long does it take to read Data-Enabled Analytics: DEA for Big Data: 312 (International Series in Operations Research & Management Science, 312) | Hardcover | Business & Economics?
At an average reading speed of 250 words per minute, reading Data-Enabled Analytics: DEA for Big Data: 312 (International Series in Operations Research & Management Science, 312) | Hardcover | Business & Economics takes approximately 9 hours.
What is Data-Enabled Analytics: DEA for Big Data: 312 (International Series in Operations Research & Management Science, 312) | Hardcover | Business & Economics about?
About this book
Data-Enabled Analytics: DEA for Big Data: 312 (International Series in Operations Research & Management Science, 312) published by Springer Nature.
Related topics
efficiency, big data, best-practice, data envelopment analysis, data-enabled analytics, data science, forecasting, large...
Is Data-Enabled Analytics: DEA for Big Data: 312 (International Series in Operations Research & Management Science, 312) | Hardcover | Business & Economics suitable for beginners?
Whether Data-Enabled Analytics: DEA for Big Data: 312 (International Series in Operations Research & Management Science, 312) | Hardcover | Business & Economics is suitable for beginners depends on your background in Business & Economics. Review the product description and specifications above for details on the target audience and difficulty level.
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