Meta-Heuristic Algorithms for Advanced Distributed Systems

18Leveraging Distributed Systems for Improved Market Intelligence and Customer Segmentation

Luigi P.L. Cavaliere¹, K. Suresh Kumar², Dilip K. Sharma³, Himanshu Sharma⁴, Sujay M. Jayadeva⁵, Makarand Upadhyaya⁶, and Nadanakumar Vinayagam⁷

¹Department of Economics, University of Foggia, Foggia, Italy

²MBA Department, Panimalar Engineering College, Chennai, Tamil Nadu, India

³Department of Mathematics, Jaypee University of Engineering and Technology, Guna, Madhya Pradesh, India

⁴United World School of Business, Karnavati University, Gandhinagar, Gujarat, India

⁵Department of Health System Management Studies, JSS Academy of Higher Education & Research, Mysuru, Karnataka, India

⁶University of Bahrain, College of Business, Bahrain

⁷Department of Automobile Engineering, Hindustan Institute of Technology and Science, Chennai, Tamil Nadu, India

18.1 Introduction

In the modern business world, market intelligence and customer segmentation play a vital role in helping businesses understand their target market and customers. Companies require this information to make informed decisions, which can affect their bottom line. With the rapid growth of technology, businesses can now use distributed systems (s) to enhance their market intelligence and customer segmentation capabilities. DS is made up of numerous nodes that cooperate to finish a task. These systems are capable of managing enormous volumes of data, processing it in real time, and offering insights into the market and customers. Businesses ...