Leverage Microsoft Power BI reports to generate Insights and integrate with the application
DOI:
https://doi.org/10.63282/3050-9416.IJAIBDCMS-V3I2P104Keywords:
Power BI, Business Intelligence, Data Visualization, Advanced Analytics, Interactive Dashboards, Dashboard Integration, Enterprise Reporting, Application Development, Embedded Analytics, Microsoft Power Platform, Real-time Data Processing, AI-powered Insights, Secure Data Governance,, Automated Data Transformation, Workflow Optimization, Cloud BI Solutions, Data Connectivity, Predictive Analytics, Self-Service BI, KPI Monitoring, Custom Report Development, API Integration, Data Warehousing, Performance Metrics, Decision Support Systems, Business Performance Monitoring, Power BIAbstract
Robust business intelligence (BI) tool Visually speaking, Microsoft Power BI lets businesses view data, develop perceptive analysis, and enhance decision-making. With its easy interface and great capacity, Power BI transforms unprocessed data into interactive dashboards and reports, thereby enabling businesses to evaluate performance, identify patterns, and guide their strategic decisions on it. Power BI reports contained inside company apps in the data-driven sector of today reveal whether real-time, seamless insights in the data are reachable. Including interactive dashboards into their present systems will enable businesses to give customers access to critical data and therefore avoid the need for hopping between several platforms. Such links are made feasible by data democratization so that employees from numerous departments may make suitable data-based judgments. Among other aspects of reporting and insight development, many firms find data silos, sophisticated data processing, team-wide report sharing difficult. Sometimes traditional reporting systems demand a lot of manual work and lack real-time data, therefore inhibiting agility in decision-making. Strong data modeling skills, easy integration with many data sources, and analytics driven by artificial intelligence enhancing data exploration and reporting help Power BI to overcome these challenges. By means of personalizing reports, drag-and-drop capabilities, and AI-driven insights thereby simplifying data visualization, both technical and non-technical people can access Power BI. Strong security features of this solution give data governance and compliance, therefore influencing the decision of enterprises aiming to simplify analytics and reporting. This document is a case study showing effective pragmatic Power BI applications. The case study demonstrates how a company leveraged Power BI's integration capabilities to boost operational efficiency, ease reporting challenges, and assist corporate growth. By including it into its daily operations, Power BI helps its business to support greater strategic planning, lower reporting efforts, and improve real-time monitoring. Emphasizing its support of operational excellence and data-driven decision-making, this webinar highlights the revolutionary capacity of Power BI in current business environments
References
1. Powell, Brett. Microsoft Power BI cookbook: Creating business intelligence solutions of analytical data models, reports, and dashboards. Packt Publishing Ltd, 2017.
2. Powell, Brett. Mastering Microsoft Power BI: Expert techniques for effective data analytics and business intelligence. Packt Publishing Ltd, 2018.
3. Ferrari, Alberto, and Marco Russo. Introducing Microsoft Power BI. Microsoft Press, 2016.
4. Knight, Devin, et al. Microsoft Power BI quick start guide: Build dashboards and visualizations to make your data come to life. Packt Publishing Ltd, 2018.
5. Knight, Devin, et al. Microsoft Power BI Complete Reference: Bring your data to life with the powerful features of Microsoft Power BI. Packt Publishing Ltd, 2018.
6. Ali Asghar Mehdi Syed. “Cost Optimization in AWS Infrastructure: Analyzing Best Practices for Enterprise Cost Reduction”. JOURNAL OF RECENT TRENDS IN COMPUTER SCIENCE AND ENGINEERING ( JRTCSE), vol. 9, no. 2, July 2021, pp. 31-46
7. LeBlanc, Patrick, et al. Applied Microsoft business intelligence. John Wiley & Sons, 2015.
8. Deckler, Greg. Learn Power BI: A beginner's guide to developing interactive business intelligence solutions using Microsoft Power BI. Packt Publishing Ltd, 2019.
9. Ali Asghar Mehdi Syed. “Impact of DevOps Automation on IT Infrastructure Management: Evaluating the Role of Ansible in Modern DevOps Pipelines”. JOURNAL OF RECENT TRENDS IN COMPUTER SCIENCE AND ENGINEERING ( JRTCSE), vol. 9, no. 1, May 2021, pp. 56–73
10. Raviv, Gil. Collect, Combine, and Transform Data Using Power Query in Excel and Power BI. Microsoft Press, 2018.
11. Kupunarapu, Sujith Kumar. "AI-Enhanced Rail Network Optimization: Dynamic Route Planning and Traffic Flow Management." International Journal of Science And Engineering 7.3 (2021): 87-95.
12. Ferrari, Alberto, and Marco Russo. Analyzing data with power BI and power pivot for excel. microsoft press, 2017.
13. Bhargava, Mandava Geetha, K. T. P. S. Kiran, and Duvvada Rajeswara Rao. "Analysis and design of visualization of educational institution database using power bi tool." Global Journal of Computer Science and Technology 18.C4 (2018): 1-8.
14. Atluri, Anusha. “The Autonomous HR Department: Oracle HCM’s Cutting-Edge Automation Capabilities”. International Journal of Emerging Trends in Computer Science and Information Technology, vol. 3, no. 1, Mar. 2022, pp. 47-54
15. Widjaja, Surlisa, and Tuga Mauritsius. "The development of performance dashboard visualization with power BI as platform." International Journal of Mechanical Engineering and Technology (IJMET) 10.5 (2019): 235-249.
16. Belghith, Mariem, et al. "Data visualization for industry 4.0: Developing dashboards with power BI–a case study in a pharmaceutical company." International Conference Design and Modeling of Mechanical Systems. Cham: Springer International Publishing, 2021.
17. Atluri, Anusha. “Extending Oracle HCM Cloud With Visual Builder Studio: A Guide for Technical Consultants ”. Newark Journal of Human-Centric AI and Robotics Interaction, vol. 2, Feb. 2022, pp. 263-81
18. Russo, Marco, and Alberto Ferrari. The Definitive Guide to DAX: Business Intelligence for Microsoft Power BI, SQL Server Analysis Services, and Excel. Microsoft Press, 2019.
19. Ferrari, Alberto, and Marco Russo. The definitive guide to DAX: Business intelligence with Microsoft Excel, SQL server analysis services, and Power BI. Microsoft Press, 2015.
20. Aspin, Adam. High Impact Data Visualization with Power View, Power Map, and Power BI. Apress, 2014.