Intelligent Business Analytics Harnessing the Power of Soft Computing for Data-Driven Insights

The book provides comprehensive and in-depth exploration of how soft computing techniques can be applied in the domain of business analytics. The book shows these techniques can be leveraged to extract valuable insights from vast and complex datasets to enable businesses to make data-driven decisions for improve competitive advantage.

About the author

Nitendra Kumar, PhD, is an assistant professor at the Amity Business School, Amity University, Noida, India.
Lakhwinder Kaur Dhillon, PhD, is an associate professor and specialized faculty member in corporate finance, strategic financial management, accounting for managers and international finance and Forex management at Amity University, Uttar Pradesh, India.
Mridul Dharwal, PhD, is a professor of economics in the Management Department, School of Business Studies, Sharda University, Uttar Pradesh, India.
Elena V. Korchagina, PhD, is a professor at Peter the Great St. Petersburg Polytechnic University, Institute of Industrial Management, Economics and Trade, St. Petersburg, Russia.
Vishal Jain, PhD, is an associate professor at Sharda University, Uttar Pradesh, India.

Product details

• Assisted by: Nitendra Kumar (Editor), Lakhwinder Kaur Dhillon (Editor), idul Dharwal (Editor), Elena Korchagina (Editor), Jain Vishal (Editor)
• Authors: Nitendra Dhillon Kumar
• Publisher: Taylor & Francis Ltd.
• Content: Book
• Product form: Hardback
• Publication date: 27.08.2025
• Subject: Social sciences, law, business > Business > Management; Natural sciences, medicine, IT, technology > IT, data processing > IT; Guides
• EAN: 9781032751788
• ISBN: 978-1-0-3275178-8
• Pages: 293
• Series: Advances in Computational Collective Intelligence
• Subjects: Data Mining, Artificial Intelligence, BUSINESS & ECONOMICS / Decision-Making & Problem Solving, BUSINESS & ECONOMICS / Strategic Planning, MATHEMATICS / Probability & Statistics / General, TECHNOLOGY & ENGINEERING / Electronics / General, TECHNOLOGY & ENGINEERING / Electrical, Electrical Engineering, business strategy, Artificial Intelligence (AI), Probability & statistics, Computational Intelligence, Electronics engineering, Probability and statistics, COMPUTERS / Artificial Intelligence / General, COMPUTERS / Data Science / Data Visualization, COMPUTERS / Data Science / Data Analytics, swarm intelligence, Data capture and analysis, genetic algorithms, Data Mining Techniques, neural network models, hybrid soft computing applications, financial inclusion analytics