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Title |
FutVi: Enhancing Decision Making with Dynamic KPI Insights |
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Author |
Mohammed Aftab Alam Khan, Omar Alsahafi1, Mishary Altamimi, Abdulrahman Alfaleh, Naif Alsahabi1, Hatim Alotaibi, Atta-ur Rahman, Mohammed Salih Ahmed, Mehwash Farooqui, Aghiad Bakry |
| Citation |
Vol. 25 No. 4 pp. 53-64 |
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Abstract |
The integration of AI has transformed industries by delivering real-time insights and enhancing data-driven decision-making. Organizations today face a deluge of data from sources like social media and consumer behaviour analytics, making it essential to convert this information into actionable knowledge. Traditional data processing tools often lack the speed and adaptability needed for real-time insights. To address this, we proposed FutVi, an AI-based analytics platform that bridges the gap between data and strategy. It aggregates and visualizes key performance indicators (KPIs) in real-time using advanced technologies such as machine learning, natural language processing (NLP), and NoSQL databases. The platform processes both structured and unstructured data quickly, providing meaningful visualizations for decision support (DS). This research employs mixed methods to evaluate its effectiveness, scalability, and operational flexibility. The findings show improved decision-making accuracy, enhanced forecasting, and aid in customer behaviour analysis and market trend identification. Current study highlights the significance of sentiment analysis in public opinion and how predictive analytics can help organizations maintain a competitive edge. Adopting a Circular Economy (CE) framework is essential for companies to stay agile and responsive to changing consumer preferences and global trends. Integrating sustainable practices into supply chain management and product development is crucial, along with regular audits for long-term competitiveness and customer satisfaction. By focusing on sustainability, technology integration, and customer satisfaction, organizations can boost brand value and profitability while adapting to a changing environment. In summary, a CE framework is vital for long-term survival and growth in the food and beverage industry. By fully embracing sustainable technology and focusing on customer satisfaction, organizations can enhance their brand value and ensure long-term profitability. The study addresses not only the technical findings but also the crucial ethical implications of AI, including data privacy and transparency. FutVi emerges as a powerful tool that empowers various industries to improve strategic planning, risk management, and operational efficiency. This research enriches the literature on AI in business intelligence and advocates for the broader use of dynamic data analytics. |
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Keywords |
Business Intelligence, ML, NoSQL Databases, Decision-Making, DSS |
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