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on1317324020 |
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OCoLC |
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|a 1317804248
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|a HCDD
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|a Business analytics for professionals /
|c Alp Ustundag, Emre Cevikcan, Omer Faruk Beyca, editors.
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| 260 |
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|a Cham :
|b Springer,
|c 2022.
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| 300 |
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|a 1 online resource (488 pages)
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| 336 |
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|a text
|b txt
|2 rdacontent
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|a computer
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|2 rdamedia
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|a Springer series in advanced manufacturing
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| 505 |
0 |
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|a PART I: TBA -- Chapter 1. Business Analytics for Managers -- Chapter 2. Big Data Management and Technologies -- Chapter 3. Descriptive Analytics: Feature Engineering & Data Visualization -- Chapter 4. Predictive Analytics with Machine Learning -- Chapter 5. Neural Networks and Deep Learning -- Chapter 6. Handling Unstructured Data: Text Analytics and Image Analysis -- Chapter 7. Prescriptive Analytics: Optimization and Modelling -- PART II: TBA -- Chapter 8. Supply Chain Analytics -- Chapter 9. CRM & Marketing Analytics -- Chapter 10. Financial Analytics -- Chapter 11. Human Resources Analytics -- Chapter 12. Manufacturing Analytics.
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| 520 |
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|a This book explains concepts and techniques for business analytics and demonstrate them on real life applications for managers and practitioners. It illustrates how machine learning and optimization techniques can be used to implement intelligent business automation systems. The book examines business problems concerning supply chain, marketing & CRM, financial, manufacturing and human resources functions and supplies solutions in Python.
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| 588 |
0 |
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|a Online resource; title from PDF title page (SpringerLink, viewed May 24, 2022).
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|a Business
|x Data processing.
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| 650 |
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0 |
|a Big data.
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| 650 |
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|a Business logistics.
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| 650 |
|
7 |
|a Big data
|2 fast
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| 650 |
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7 |
|a Business
|x Data processing
|2 fast
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| 650 |
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7 |
|a Business logistics
|2 fast
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| 700 |
1 |
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|a Ustundag, Alp,
|d 1977-
|1 https://id.oclc.org/worldcat/entity/E39PCjMkmYQ7XfCVCpq6pPWgPP
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| 700 |
1 |
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|a Cevikcan, Emre.
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| 700 |
1 |
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|a Beyca, Omer Faruk.
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| 758 |
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|i has work:
|a BUSINESS ANALYTICS FOR PROFESSIONALS (Text)
|1 https://id.oclc.org/worldcat/entity/E39PD37RwFPKw9wQ6fgDPP444q
|4 https://id.oclc.org/worldcat/ontology/hasWork
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| 776 |
0 |
8 |
|i Print version:
|a Ustundag, Alp.
|t Business Analytics for Professionals.
|d Cham : Springer International Publishing AG, ©2022
|z 9783030938222
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| 830 |
|
0 |
|a Springer series in advanced manufacturing.
|
| 856 |
4 |
0 |
|u https://holycross.idm.oclc.org/login?auth=cas&url=https://link.springer.com/10.1007/978-3-030-93823-9
|y Click for online access
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| 903 |
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|a SPRING-ENGINE2022
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| 994 |
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