Intelligent optimization techniques for business analytics:
Today, the convergence of cutting-edge algorithms and actionable insights in business is paramount for success. Scholars and practitioners grapple with the dilemma of optimizing data to drive efficiency, innovation, and competitiveness. The formidable challenge of effectively harnessing the immense...
Gespeichert in:
| Weitere Verfasser: | , , |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hershey PA, USA
IGI Global
[2024]
|
| Schriftenreihe: | Advances in business information systems and analytics (ABISA) book series
|
| Schlagworte: | |
| Online-Zugang: | DE-91 DE-898 DE-1050 URL des Erstveröffentlichers |
| Zusammenfassung: | Today, the convergence of cutting-edge algorithms and actionable insights in business is paramount for success. Scholars and practitioners grapple with the dilemma of optimizing data to drive efficiency, innovation, and competitiveness. The formidable challenge of effectively harnessing the immense power of intelligent optimization techniques and business analytics only increases as the volume of data grows exponentially, and the complexities of navigating the intricate landscape of business analytics becomes more daunting. This pressing issue underscores the critical need for a comprehensive solution, and Intelligent Optimization Techniques for Business Analytics is poised to provide much-needed answers.This groundbreaking book offers an all-encompassing solution to the challenges that academic scholars encounter in the pursuit of mastering the interplay between learning algorithms and intelligent optimization techniques for business analytics. Through a wealth of diverse perspectives and expert case studies, it illuminates the path to effectively implementing these advanced systems in real-world business scenarios. It caters not only to the scholarly community but also to industry professionals and policymakers, equipping them with the necessary tools and insights to excel in the realm of data-driven decision-making. |
| Beschreibung: | 1 Online-Ressource (xx, 357 Seiten) Illustrationen |
| ISBN: | 9798369315996 |
| DOI: | 10.4018/979-8-3693-1598-9 |
Internformat
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| 520 | |a Today, the convergence of cutting-edge algorithms and actionable insights in business is paramount for success. Scholars and practitioners grapple with the dilemma of optimizing data to drive efficiency, innovation, and competitiveness. The formidable challenge of effectively harnessing the immense power of intelligent optimization techniques and business analytics only increases as the volume of data grows exponentially, and the complexities of navigating the intricate landscape of business analytics becomes more daunting. This pressing issue underscores the critical need for a comprehensive solution, and Intelligent Optimization Techniques for Business Analytics is poised to provide much-needed answers.This groundbreaking book offers an all-encompassing solution to the challenges that academic scholars encounter in the pursuit of mastering the interplay between learning algorithms and intelligent optimization techniques for business analytics. Through a wealth of diverse perspectives and expert case studies, it illuminates the path to effectively implementing these advanced systems in real-world business scenarios. It caters not only to the scholarly community but also to industry professionals and policymakers, equipping them with the necessary tools and insights to excel in the realm of data-driven decision-making. | ||
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| discipline | Wirtschaftswissenschaften |
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| indexdate | 2024-12-17T19:01:36Z |
| institution | BVB |
| isbn | 9798369315996 |
| language | English |
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| spelling | Intelligent optimization techniques for business analytics Sanjeev Bansal, Nitendra Kumar, Priyanka Agarwal Hershey PA, USA IGI Global [2024] © 2024 1 Online-Ressource (xx, 357 Seiten) Illustrationen txt rdacontent c rdamedia cr rdacarrier Advances in business information systems and analytics (ABISA) book series Today, the convergence of cutting-edge algorithms and actionable insights in business is paramount for success. Scholars and practitioners grapple with the dilemma of optimizing data to drive efficiency, innovation, and competitiveness. The formidable challenge of effectively harnessing the immense power of intelligent optimization techniques and business analytics only increases as the volume of data grows exponentially, and the complexities of navigating the intricate landscape of business analytics becomes more daunting. This pressing issue underscores the critical need for a comprehensive solution, and Intelligent Optimization Techniques for Business Analytics is poised to provide much-needed answers.This groundbreaking book offers an all-encompassing solution to the challenges that academic scholars encounter in the pursuit of mastering the interplay between learning algorithms and intelligent optimization techniques for business analytics. Through a wealth of diverse perspectives and expert case studies, it illuminates the path to effectively implementing these advanced systems in real-world business scenarios. It caters not only to the scholarly community but also to industry professionals and policymakers, equipping them with the necessary tools and insights to excel in the realm of data-driven decision-making. Business Data processing Business Technological innovations Mathematical optimization Bansal, Sanjeev 1967- (DE-588)1335742875 edt Kumar, Nitendra 1989- (DE-588)1335743006 edt Agarwal, Priyanka edt Erscheint auch als Druck-Ausgabe 979-8-3693-1598-9 Erscheint auch als Druck-Ausgabe, Paperback 979-8-3693-4694-5 https://doi.org/10.4018/979-8-3693-1598-9 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Intelligent optimization techniques for business analytics Business Data processing Business Technological innovations Mathematical optimization |
| title | Intelligent optimization techniques for business analytics |
| title_auth | Intelligent optimization techniques for business analytics |
| title_exact_search | Intelligent optimization techniques for business analytics |
| title_full | Intelligent optimization techniques for business analytics Sanjeev Bansal, Nitendra Kumar, Priyanka Agarwal |
| title_fullStr | Intelligent optimization techniques for business analytics Sanjeev Bansal, Nitendra Kumar, Priyanka Agarwal |
| title_full_unstemmed | Intelligent optimization techniques for business analytics Sanjeev Bansal, Nitendra Kumar, Priyanka Agarwal |
| title_short | Intelligent optimization techniques for business analytics |
| title_sort | intelligent optimization techniques for business analytics |
| topic | Business Data processing Business Technological innovations Mathematical optimization |
| topic_facet | Business Data processing Business Technological innovations Mathematical optimization |
| url | https://doi.org/10.4018/979-8-3693-1598-9 |
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