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Data-Driven Approaches for Effective Managerial Decision Making

av Anubha
Om Data-Driven Approaches for Effective Managerial Decision Making

In today's competitive market, a manager must be able to look at data, understand it, analyze it, and then interpret it to design a smart business strategy. Big data is also a valuable source of information on how customers interact with firms through various mediums such as social media platforms, online reviews, and many more. The applications and uses of business analytics are numerous and must be further studied to ensure they are utilized appropriately. Data-Driven Approaches for Effective Managerial Decision Making investigates management concepts and applications using data analytics and outlines future research directions. The book also addresses contemporary advancements and innovations in the field of management. Covering key topics such as big data, business intelligence, and artificial intelligence, this reference work is ideal for managers, business owners, industry professionals, researchers, scholars, academicians, practitioners, instructors, and students.

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  • Språk:
  • Engelsk
  • ISBN:
  • 9781668475690
  • Bindende:
  • Paperback
  • Sider:
  • 360
  • Utgitt:
  • 8 mai 2023
  • Dimensjoner:
  • 178x19x254 mm.
  • Vekt:
  • 677 g.
  Gratis frakt
Leveringstid: 2-4 uker
Forventet levering: 15 oktober 2024

Beskrivelse av Data-Driven Approaches for Effective Managerial Decision Making

In today's competitive market, a manager must be able to look at data, understand it, analyze it, and then interpret it to design a smart business strategy. Big data is also a valuable source of information on how customers interact with firms through various mediums such as social media platforms, online reviews, and many more. The applications and uses of business analytics are numerous and must be further studied to ensure they are utilized appropriately. Data-Driven Approaches for Effective Managerial Decision Making investigates management concepts and applications using data analytics and outlines future research directions. The book also addresses contemporary advancements and innovations in the field of management. Covering key topics such as big data, business intelligence, and artificial intelligence, this reference work is ideal for managers, business owners, industry professionals, researchers, scholars, academicians, practitioners, instructors, and students.

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