Online Decision Process based on Machine Learning Techniques

TL;DR

This paper explores how internet-based data collection and analysis, combined with a business intelligence model, enhance organizational decision-making and marketing strategies.

Contribution

It introduces a web segmentation model that improves decision-making by analyzing customer data and integrating marketing information systems.

Findings

Effective data analysis improves decision quality

Web segmentation enhances targeted marketing

Integration of information systems supports better decisions

Abstract

This paper analyses role of internet in marketing and its influences on business decision-making process. It explains how the decision maker collect variety of information about customers through internet and analysis this data to better use it in enhancing the processes and the overall performance of the organization. In addition, how each department in an organization collaborates and use these information through data warehousing. Accordingly, a business intelligence model is proposed for web segmentation that divides potential markets or consumers into specific groups and analysis them for better decision making. The model further plans to push the significance of web opportunities in directing the web division and gathering client information. It is exhibited how marketing information system include customers, equipment and procedures analysis contribute to help decision makers make better decision.