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The Use of PowerBI and MATLAB for Financial Product Prototyping and Testing
Subject area: Science,Engineering and Technology · Area of research: PowerBI and MATLAB
Abstract
This paper explores the integration of Power BI and MATLAB for financial product prototyping and testing, offering a comprehensive framework that combines data visualization with advanced computational tools. Power BI, a powerful business analytics tool, enables real-time data analysis and visualization, making it ideal for tracking financial metrics and trends. MATLAB, known for its advanced mathematical and statistical modeling capabilities, provides robust support for quantitative analysis and testing. This study highlights how the synergy of these tools can accelerate financial product development by facilitating rapid prototyping, iterative testing, and scenario analysis. Key focus areas include the use of Power BI for data-driven decision-making through interactive dashboards, and MATLAB?s ability to simulate complex financial models, perform risk assessments, and optimize portfolios. The integration of these platforms ensures a seamless transition from concept to prototype, enhancing testing accuracy and reducing time-to-market. Additionally, this framework supports collaboration among financial analysts and developers by aligning real-time data visualization with model-based simulations, fostering innovation in financial services. The proposed approach demonstrates potential in improving product performance evaluation and risk mitigation strategies, ultimately contributing to more informed and efficient financial product development.
Keywords
Power BI, MATLAB, financial product prototyping, financial testing, data visualization, quantitative analysis, real-time analytics, financial modeling, scenario analysis, risk assessment, portfolio optimization, business intelligence, iterative testing, product development, financial innovation.
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How to cite this paper
@article{1705144,
author = {Shachi Ghanshyam Sayata, Priyank Mohan, Rahul Arulkumaran, Om Goel, Dr. Lalit Kumar; Prof. (Dr.) Arpit Jain},
title = {The Use of PowerBI and MATLAB for Financial Product Prototyping and Testing},
journal = {Iconic Research And Engineering Journals},
year = {2023},
volume = {7},
number = {3},
pages = {635-664},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1705144.pdf},
abstract = {This paper explores the integration of Power BI and MATLAB for financial product prototyping and testing, offering a comprehensive framework that combines data visualization with advanced computational tools. Power BI, a powerful business analytics tool, enables real-time data analysis and visualization, making it ideal for tracking financial metrics and trends. MATLAB, known for its advanced mathematical and statistical modeling capabilities, provides robust support for quantitative analysis and testing. This study highlights how the synergy of these tools can accelerate financial product development by facilitating rapid prototyping, iterative testing, and scenario analysis. Key focus areas include the use of Power BI for data-driven decision-making through interactive dashboards, and MATLAB?s ability to simulate complex financial models, perform risk assessments, and optimize portfolios. The integration of these platforms ensures a seamless transition from concept to prototype, enhancing testing accuracy and reducing time-to-market. Additionally, this framework supports collaboration among financial analysts and developers by aligning real-time data visualization with model-based simulations, fostering innovation in financial services. The proposed approach demonstrates potential in improving product performance evaluation and risk mitigation strategies, ultimately contributing to more informed and efficient financial product development.},
keywords = {Power BI, MATLAB, financial product prototyping, financial testing, data visualization, quantitative analysis, real-time analytics, financial modeling, scenario analysis, risk assessment, portfolio optimization, business intelligence, iterative testing, product development, financial innovation.},
month = {September},
}