FALCON 2.0 SNAPPY REPORTS A NOVEL TOPSIS-DRIVEN APPROACH FOR REAL-TIME MULTI-ATTRIBUTE DECISION ANALYSIS
DOI:
https://doi.org/10.34218/IJCET_16_03_025Keywords:
Falcon 2.0, AI-powered Analytics, Real-time Data Processing, Multi-criteria Decision-making, Performance ImprovementAbstract
This Study in Falcon 2.0, also known as Snappy Reports, is an advanced reporting tool designed to streamline data analysis and visualization with accuracy, speed, and efficiency. Built for professionals requiring rapid insights, it features an intuitive interface that simplifies report generation while leveraging automation and real-time data processing. Snappy Reports transforms raw data into meaningful, actionable insights through AI-powered analytics, reducing manual effort and enhancing decision-making. With customizable dashboards, multi-format data support, and seamless integration with popular databases, Falcon 2.0 offers scalability and industry-specific adaptability for businesses of all sizes. Whether generating operational summaries, sales statistics, or financial reports, Snappy Reports delivers well-structured, visually appealing documents within seconds, revolutionizing the reporting landscape.Falcon 2.0 enhances data-driven decision-making by ensuring accurate, automated, and real-time reporting. By minimizing human errors and effort, it accelerates workflows, increases productivity, and helps businesses stay competitive in an evolving digital landscape. Falcon 2.0 - Snappy Reports modernized an essential reporting tool for 2,300 clinics, enhancing performance and scalability. Utilizing Telerik, Kendo UI, and predictive analytics, it improved data accuracy, reduced costs by 30-40%, automated tasks, and increased revenue by $1.5M. Built with Azure, ASP.NET, MVC5, Angular, C#, SQL Server, and SSRS.Its AI-driven analytics refine data interpretation, leading to more informed strategic decisions.For evaluation, a multi-criteria decision-making approach, TOPSIS (Technique for Order Preference by Similarity to Ideal Solution), was used. This method ranks alternatives based on their proximity to an ideal solution by normalizing data, calculating Euclidean distances, assigning weights, and selecting the closest option.Competing Alternatives: Telerik Reporting, Power BI Embedded, SSRS (SQL Server Reporting Services), Tableau Server, Looker (Google Cloud BI), Qlik Sense, Domo BI, MicroStrategy, SAP BusinessObjects, and Sisense.Evaluation Parameters: Performance Improvement (%), Cost Savings (%), User Adoption Rate (%), Implementation Time (Months), License Cost (USD Thousands), and Training Effort (Hours).Results indicate that Domo BI ranked highest, whereas SSRS (SQL Server Reporting Services) received the lowest ranking.
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