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Future Directions and Innovations in the Field of Business Operations Through Data Tools
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Author(s): Harshwardhani Sharma (Manav Rachna International Institute of Research and Studies, India), Disha Batra (Manav Rachna International Institute of Research and Studies, India), Saket Kumar Bhardwaj (Hemwati Nandan Bahuguna Garhwal University, India), Akshay Upmanyu (Sharda University, India)and Vaishali Raj (SRM Institute of Science and Technology, Kattankulathur, India)
Copyright: 2025
Pages: 30
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.ch016
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Abstract
In recent years, business operations have undergone a significant transformation, driven primarily by the advent of advanced data analytics and visualisation tools underpinned by artificial intelligence (AI). This chapter aims to achieve three main objectives: first, to explore new AI-driven data visualisation tools like Data Squirrel and PI Exchanges, highlighting their innovative features and applications in enhancing business operations; second, to investigate the latest AI advancements in established tools such as Power BI and Tableau, focusing on their capabilities like natural language processing, automated insights, and predictive analytics that contribute to more effective data visualisations; and third, to address future directions by exploring emerging trends such as enhanced NLP, real-time data processing, and integration with IoT and blockchain technologies, while providing recommendations for leveraging these innovations to stay ahead in the evolving landscape of AI in business data visualisation.
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