An Introduction to Power BI for Data Analysis

Authors

  • Kalpana V. Metre MET's Institute of Engineering, Nashik, Maharashtra, India
  • Ashutosh Mathur Assistant Professor, Symbiosis center of Management Studies, Pune, Symbiosis international (Deemed University), Pune
  • Ranjana Prakash Dahake MET's Institute of Engineering Nashik, Maharashtra, India
  • Yogita Bhapkar Bharati Vidyapeeth Deemed to be university,Yashwantrao mohite Arts, Science and Commerce,Pune 38
  • Jayashri Ghadge Bharati Vidyapeeth Deemed to be university,Yashwantrao mohite Arts, Science and Commerce,Pune 38
  • Prashant Jain Lecturer, Department of Electronics, Government Polytechnic, Nasik
  • Santosh Gore Director, Sai info solution, Nashik Maharashtra India https://orcid.org/0000-0003-1814-5913

Keywords:

power bi, visualizations, data centric-world

Abstract

Microsoft Power BI is a sophisticated business intelligence tool. This has the potential to convert simple data into sophisticated representations and entertaining reports. This article presents a high-level overview of Power BI, including its definition, features, benefits, drawbacks, and business advantages. Businesses may leverage capabilities to maximize the value of their data and make data-driven decisions, giving them a competitive advantage in today's data-centric economy.

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References

P. R. C. Patil, A. Desai, P. Jadhav, M. Jamadar, S. Koli, and S. Shirole, “Sales analysis using power bi,” no. 04, pp. 1561–1563, 2022.

M. M. Abdulla, “Using Microsoft Power BI and Data Visualization Tools to Study How Online Shopping was Affected During COVID19 Period: A Comparison in Three Countries Between 2019 and 2020,” pp. 3591–3600, 2023, doi: 10.46254/an12.20220651.

R. Heang and R. Mohan, “Literature review of business intelligence,” J. Business, Eng. Sci., vol. 10, no. 2, pp. 1–10, 2017, [Online].

G. Shoaib and S. Nandi, “Power Bi Dashboard for Data Analysis,” Int. Res. J. Eng. Technol., no. July, pp. 2881–2885, 2022, [Online]. Available: www.irjet.net

M. S. Singh and M. L. Jadhav, “Data Analysis and Visualization of Sales Dataset using Power BI,” Int. J. Res. Appl. Sci. Eng. Technol., vol. 10, no. 6, pp. 1749–1759, 2022, doi: 10.22214/ijraset.2022.44132.

S. Saabith, T. Vinothraj, and M. Fareez, “Business Intelligence Tools-Systematic Review,” Int. J. Res. Eng. Sci. ISSN, vol. 10, no. 10, pp. 394–408, 2022, [Online]. Available: www.ijres.org394%7C

KRISHNAN, “IR @ INFLIBNET: RESEARCH DATA ANALYSIS WITH POWER BI,” 2017, [ONLINE]. AVAILABLE: HTTPS://IR.INFLIBNET.AC.IN/HANDLE/1944/2116

S. Widjaja and T. Mauritsius, “The Development of Performance Dashboard Visualization with Power BI as Platform,” Int. J. Mech. Eng. Technol., vol. 10, no. 5, pp. 235–249, 2019, [Online]. Available: http://www.iaeme.com/ijmet/issues.asp?JType=IJMET&VType=10&IType=5http://www.iaeme.com/IJMET/issues.asp?JType=IJMET&VType=10&IType=5

Bansal and A. K. Upadhyay, “Microsoft Power BI,” Int. J. Soft Comput. Eng., no. 3, pp. 2231–2307, 2017.

P. Dutta, “Business Analytics using Microsoft Power BI and AWS Redshift,” Int. J. Trend Sci. Res. Dev., vol. Volume-3, no. Issue-2, pp. 984–986, 2019, doi: 10.31142/ijtsrd21545

L. A. Adamic, J. Zhang, E. Bakshy, and M. S. Ackerman, “Knowledge sharing and yahoo answers: Everyone knows something,” Proceeding 17th Int. Conf. World Wide Web 2008, WWW’08, pp. 665–674, 2008, doi: 10.1145/1367497.1367587.

Dange, B. J., Mishra, P. K., Metre, K. V., Gore Santosh., Kurkute, S. L., Khodke, H. E., & Gore Sujata (2023). Grape Vision: A CNN-Based System for Yield Component Analysis of Grape Clusters. International Journal of Intelligent Systems and Applications in Engineering, 11(9s), 239-244. https://ijisae.org/index.php/IJISAE/article/view/3113

Gore Santosh, Dutt, I., Dahake, R. P., Khodke, H. E., Kurkute, S. L., Dange, B. J., & Gore Sujata (2023). Innovations in Smart City Water Supply Systems. International Journal of Intelligent Systems and Applications in Engineering, 11(9s), 277-281. [Online]. Available: https://ijisae.org/index.php/IJISAE/article/view/3118

Tholkapiyan, M., Ramadass, S., Seetha, J., Ravuri, A., Vidyullatha, P., Siva Shankar, S., & Gore Santosh (2023). Examining the Impacts of Climate Variability on Agricultural Phenology: A Comprehensive Approach Integrating Geoinformatics, Satellite Agrometeorology, and Artificial Intelligence. International Journal of Intelligent Systems and Applications in Engineering, 11(6s), 592-598. [Online]. Available: https://ijisae.org/index.php/IJISAE/article/view/2891

Gore Santosh, Dhindsa, G., Sujata Gore, Jagtap, N. S., & Nanavare, U. (2023, July). Recommendation of Contemporary Fashion Trends via AI-Enhanced Multimodal Search Engine and Blockchain Integration. In 2023 4th International Conference on Electronics and Sustainable Communication Systems (ICESC) (pp. 1676-1682). IEEE. https://ieeexplore.ieee.org/document/10193587

Kale, N ., Gunjal, S. N. , Bhalerao, M. ., Khodke, H. E. ., Gore Santosh ., & Dange, B. J . (2023). Crop Yield Estimation Using Deep Learning and Satellite Imagery . International Journal of Intelligent Systems and Applications in Engineering, 11(10s), 464 – 471. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/3301

Khodke, H. E. , Bhalerao, M. ., Gunjal, S. N., Nirmal, Gore Santosh, & Dange B. J. (2023). An Intelligent Approach to Empowering the Research of Biomedical Machine Learning in Medical Data Analysis using PALM. International Journal of Intelligent Systems and Applications in Engineering, 11(10s), 429–436. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/3297

Josphineleela, R. , P Krishnaveni, N. Prasad, S. Rao, Jibhau Garde, & Gore Santosh (2023). Exploration Beyond Boundaries: AI-Based Advancements in Rover Robotics for Lunar Missions Space Like Chandrayaan. International Journal of Intelligent Systems and Applications in Engineering, 11(10s), 640–648. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/3318

Pandarinathan, V. ., R, V. ., Nalinipriya, G. ., K, S. ., Kannan, K. G. ., Mohanaprakash, T. A. ., & Pandian, A. A. . (2023). DeepQ Residue Representation of Moving Object Images using YOLO in Video Surveillance Environment. International Journal on Recent and Innovation Trends in Computing and Communication, 11(4), 13–19. https://doi.org/10.17762/ijritcc.v11i4.6375

Mondal , D. (2021). Green Channel Roi Estimation in The Ovarian Diseases Classification with The Machine Learning Model . Machine Learning Applications in Engineering Education and Management, 1(1), 07–12.

Dhabliya, D., & Sharma, R. (2019). Cloud computing based mobile devices for distributed computing. International Journal of Control and Automation, 12(6 Special Issue), 1-4. doi:10.33832/ijca.2019.12.6.01

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Published

03.09.2023

How to Cite

Metre, K. V. ., Mathur, A. ., Dahake, R. P. ., Bhapkar, Y. ., Ghadge, J. ., Jain, P. ., & Gore, S. . (2023). An Introduction to Power BI for Data Analysis. International Journal of Intelligent Systems and Applications in Engineering, 12(1s), 142–147. Retrieved from https://www.ijisae.org/index.php/IJISAE/article/view/3401

Issue

Vol. 12 No. 1s (2024)

Section

Research Article

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