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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM62083

SALES DATA ANALYSIS VISUALIZATION USING POWER BI

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM62083

Volume:

10 |

4 |

April 2026

Pages:

1-6

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

MSS

Ms. Siddhi Sawant

Information Technology

MES’s D.G..Ruparel College of Arts Science and Commerce.

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MDS

Mr. Darshan Shinde

Information Technology

MES’s D.G..Ruparel College of Arts Science and Commerce.

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MSP

Mr. Siddhant Phalke

Information Technology

MES’s D.G..Ruparel College of Arts Science and Commerce.

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Mentors

MAD

Mrs. Anjali Dandekar

Information Technology

MES’s D.G..Ruparel College of Arts Science and Commerce.

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Abstract

Sales data analysis plays a crucial role in understanding business performance and making informed decisions. With the increasing availability of data, tools like Power BI enable efficient data visualization and analysis. This research paper focuses on analyzing sales data using Power BI to identify trends, patterns, and key performance indicators (KPIs). The study demonstrates how interactive dashboards improve decision-making, enhance business insights, and increase overall efficiency. However, challenges such as data quality issues and technical expertise requirements remain. Furthermore, this study highlights the importance of real-time data monitoring and its impact on strategic planning. It also explores how visualization techniques such as charts, graphs, and filters simplify complex datasets. The research emphasizes the role of data-driven culture in modern organizations. Additionally, it showcases how businesses can identify high-performing products and regions through effective analysis. The findings suggest that integrating BI tools into business processes leads to better forecasting and improved operational efficiency.

KEYWORDS

Keywords — Sales Analysis Data Visualization Power BI Business Intelligence Dashboard KPIs

Cite This Article

Ms. Siddhi Sawant, Mr. Darshan Shinde, Mr. Siddhant Phalke, Mrs. Anjali Dandekar, "SALES DATA ANALYSIS VISUALIZATION USING POWER BI," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 4, pp. 1-6, April 2026.

Full Article/Conclusion

Sales data analysis using Power BI provides valuable insights that help organizations make better decisions. Visualization simplifies complex data and improves understanding. While challenges exist, the benefits of using Power BI in sales analysis are significant for business growth.

References

APA Style·        Chen, H., Chiang, R., & Storey, V. (2012). Business Intelligence and Analytics ·        Few, S. (2013). Data Visualization Principles ·        Sharda, R., Delen, D., & Turban, E. (2020). Business Intelligence IEEE Style1.     H. Chen et al., "Business Intelligence," 2012 2.     S. Few, "Data Visualization," 2013 3.     R. Sharda et al., "Business Intelligence Systems," 2020

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Publication Date

4/30/2026

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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5

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Conflict of Interest

The authors declare no conflict of interest related to this research work.

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