Please use this identifier to cite or link to this item: http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/10163
Title: Power BI Dashboard for Analysis of Success and Failures of APIs and Average Time Taken by API to process
Authors: Gautam, Mohit
Kumar, Yugal [Guided by]
Keywords: Application programming interfaces
Power BI
Issue Date: 2023
Publisher: Jaypee University of Information Technology, Solan, H.P.
Abstract: This abstract examines the successes and failures encountered when utilizing Application Programming Interfaces (APIs) in the context of Power BI, Excel, and data analysis for a project. APIs have revolutionized the way data is accessed, processed, and visualized, offering powerful capabilities for project teams to extract insights and make informed decisions. This abstract explores both the positive outcomes and challenges faced when integrating APIs with Power BI, Excel, and data analysis in the project context. Successes: Improved Data Integration: APIs enable seamless integration of external data sources into Power BI and Excel, facilitating the consolidation of diverse datasets for the project. This integration empowers project teams to perform comprehensive analyses by accessing real-time and up-to-date information from various systems, enabling more accurate and holistic insights.
Description: Enrollment No. 191385
URI: http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/10163
Appears in Collections:B.Tech. Project Reports



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