Advanced Data Visualization Methods for Predictive Analytics in Business

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Author(s): Pawan Kumar Goel (Raj Kumar Goel Institute of Technology, Ghaziabad, India)
Copyright: 2025
Pages: 22
Source title: Data Visualization Tools for Business Applications
Source Author(s)/Editor(s): M. Anandhavalli Muniasamy (King Khalid University, Saudi Arabia), Arshi Naim (European Global Institute of Innovation and Technology Malta.)and Anuj Kumar (Rushford Business School, Switzerland)
DOI: 10.4018/979-8-3693-6537-3.ch003

Keywords: Business Information Systems / Business Science Reference / Data Analysis & Statistics / Library & Information Science

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Abstract

This chapter explores the role of advanced data visualization techniques in predictive analytics and business intelligence. It highlights the challenges businesses face when using data for strategic insights and predictive modeling, such as scalability constraints, integration issues with machine learning algorithms, and the need for user-friendly interfaces. The chapter also addresses the complexity of multidimensional data, limitations of traditional visualization tools, and the challenge of translating predictive models into actionable insights. The methodology combines interactive visualization techniques with machine learning algorithms to create dynamic data representations. The chapter concludes by discussing the importance of these techniques in data decision-making.

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