Leveraging Power BI for Enhanced Data Visualization and Business Intelligence

Authors

  • Krishna Kishor Tirupati Ajith Singh Nagar, Vijayawada, Ntr District, Andhra Pradesh,520015,India,
  • Archit Joshi 206 Shanta Durga Residency Sadashiv nagar Belgaum Karnataka 590019,
  • Dr S P Singh Ex-Dean, Gurukul Kangri University, Haridwar, Uttarakhand
  • Akshun Chhapola Independent Researcher, Delhi Technical University, Delhi,
  • Shalu Jain Research Scholar, Maharaja Agrasen Himalayan Garhwal University, Pauri Garhwal, Uttarakhand
  • Dr. Alok Gupta Ph.D, COT, G.B. Pant University of Agriculture & Technology, Pantanagar

DOI:

https://doi.org/10.36676/urr.v10.i2.1375

Keywords:

Power BI, data visualization, business intelligence, interactive dashboards, business growth, real-time data, predictive analytics, data-driven decision-making

Abstract

In today’s data-driven world, businesses must harness the power of data to remain competitive and make informed decisions. Power BI, a leading business analytics tool from Microsoft, offers comprehensive capabilities for transforming raw data into meaningful insights. This paper explores the benefits of leveraging Power BI for enhanced data visualization and business intelligence. It emphasizes how Power BI’s interactive dashboards, customizable reports, and real-time data updates empower organizations to gain deeper insights and foster data-driven decision-making. By integrating data from various sources, Power BI allows users to visualize trends, patterns, and anomalies through its intuitive and user-friendly interface. Moreover, its AI-powered features and advanced analytics tools make predictive analytics more accessible, driving future strategies. This paper also examines the collaborative potential of Power BI, as teams can easily share reports and insights across departments. As businesses increasingly adopt digital transformation strategies, Power BI stands out as a vital tool for improving operational efficiency, understanding market trends, and driving business growth. This study highlights the significance of Power BI in supporting organizations to not only interpret complex data but also to stay agile and responsive in an evolving business environment. In conclusion, Power BI’s robust data visualization and business intelligence capabilities offer organizations a competitive edge in today’s fast-paced, data-centric landscape.

References

Mahadik, Siddhey, Kumar Kodyvaur Krishna Murthy, Saketh Reddy Cheruku, Prof. (Dr.) Arpit Jain, & Om Goel. (2022). "Agile Product Management in Software Development." International Journal for Research Publication & Seminar, 13(5): 453. https://doi.org/10.36676/jrps.v13.i5.1512.

Khair, Md Abul, Kumar Kodyvaur Krishna Murthy, Saketh Reddy Cheruku, Shalu Jain, & Raghav Agarwal. (2022). "Optimizing Oracle HCM Cloud Implementations for Global Organizations." International Journal for Research Publication & Seminar, 13(5): 372. https://doi.org/10.36676/jrps.v13.i5.1508.

Salunkhe, Vishwasrao, Venkata Ramanaiah Chintha, Vishesh Narendra Pamadi, Arpit Jain, & Om Goel. (2022). "AI-Powered Solutions for Reducing Hospital Readmissions: A Case Study on AI-Driven Patient Engagement." International Journal of Creative Research Thoughts, 10(12): 757-764.

Arulkumaran, Rahul, Aravind Ayyagiri, Aravindsundeep Musunuri, Prof. (Dr.) Punit Goel, & Prof. (Dr.) Arpit Jain. (2022). "Decentralized AI for Financial Predictions." International Journal for Research Publication & Seminar, 13(5): 434. https://doi.org/10.36676/jrps.v13.i5.1511.

Mahadik, Siddhey, Amit Mangal, Swetha Singiri, Akshun Chhapola, & Shalu Jain. (2022). "Risk Mitigation Strategies in Product Management." International Journal of Creative Research Thoughts (IJCRT), 10(12): 665.

Arulkumaran, Rahul, Sowmith Daram, Aditya Mehra, Shalu Jain, & Raghav Agarwal. (2022). "Intelligent Capital Allocation Frameworks in Decentralized Finance." International Journal of Creative Research Thoughts (IJCRT), 10(12): 669. ISSN: 2320-2882.

Agarwal, Nishit, Rikab Gunj, Amit Mangal, Swetha Singiri, Akshun Chhapola, & Shalu Jain. (2022). "Self-Supervised Learning for EEG Artifact Detection." International Journal of Creative Research Thoughts (IJCRT), 10(12). Retrieved from https://www.ijcrt.org/IJCRT2212667.

Kolli, R. K., Chhapola, A., & Kaushik, S. (2022). "Arista 7280 Switches: Performance in National Data Centers." The International Journal of Engineering Research, 9(7), TIJER2207014. tijer tijer/papers/TIJER2207014.pdf.

Agrawal, Shashwat, Fnu Antara, Pronoy Chopra, A Renuka, & Punit Goel. (2022). "Risk Management in Global Supply Chains." International Journal of Creative Research Thoughts (IJCRT), 10(12): 2212668

Sivaprasad Nadukuru, Archit Joshi, Shalu Jain, Krishna Kishor Tirupati, & Akshun Chhapola. (2023). Advanced Techniques in SAP SD Customization for Pricing and Billing. Innovative Research Thoughts, 9(1), 421–449. https://doi.org/10.36676/irt.v9.i1.1496

MURALI MOHANA KRISHNA DANDU, Vishwasrao Salunkhe, Shashwat Agrawal, Prof.(Dr) Punit Goel, & Vikhyat Gupta. (2023). Knowledge Graphs for Personalized Recommendations. Innovative Research Thoughts, 9(1), 450–479. https://doi.org/10.36676/irt.v9.i1.1497

Archit Joshi, Rahul Arulkumaran, Nishit Agarwal, Anshika Aggarwal, Prof.(Dr) Punit Goel, & Dr. Alok Gupta. (2023). Cross Market Monetization Strategies Using Google Mobile Ads. Innovative Research Thoughts, 9(1), 480–507. https://doi.org/10.36676/irt.v9.i1.1498

Krishna Kishor Tirupati, Murali Mohana Krishna Dandu, Vanitha Sivasankaran Balasubramaniam, A Renuka, & Om Goel. (2023). End to End Development and Deployment of Predictive Models Using Azure Synapse Analytics. Innovative Research Thoughts, 9(1), 508–537. https://doi.org/10.36676/irt.v9.i1.1499

Vanitha Sivasankaran Balasubramaniam, Siddhey Mahadik, Md Abul Khair, Om Goel, & Prof.(Dr.) Arpit Jain,. (2023). Effective Risk Mitigation Strategies in Digital Project Management. Innovative Research Thoughts, 9(1), 538–567. https://doi.org/10.36676/irt.v9.i1.1500

Swetha, S., Goel, O., & Khan, S. (2023). Integrating data for strategic business intelligence to enhance data analytics. Journal of Emerging Trends and Novel Research, 1(3), a23-a34. https://rjpn.org/jetnr/viewpaperforall.php?paper=JETNR2303003

Singiri, S., Goel, P., & Jain, A. (2023). Building distributed tools for multi-parametric data analysis in health. Journal of Emerging Trends in Networking and Research, 1(4), a1-a15

Published URL: rjpn jetnr/viewpaperforall.php?paper=JETNR2304001

Singiri, E. S., Gupta, E. V., & Khan, S. (2023). Comparing AWS Redshift and Snowflake for data analytics: Performance and usability. International Journal of New Technologies and Innovations, 1(4), a1-a14. rjpn ijnti/viewpaperforall.php?paper=IJNTI2304001

Md Abul Khair, Amit Mangal, Swetha Singiri, Akshun Chhapola, & Om Goel. (2023). Advanced Security Features in Oracle HCM Cloud. Universal Research Reports, 10(4), 493–511. https://doi.org/10.36676/urr.v10.i4.1360

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Published

2024-09-25
CITATION
DOI: 10.36676/urr.v10.i2.1375
Published: 2024-09-25

How to Cite

Krishna Kishor Tirupati, Archit Joshi, Dr S P Singh, Akshun Chhapola, Shalu Jain, & Dr. Alok Gupta. (2024). Leveraging Power BI for Enhanced Data Visualization and Business Intelligence. Universal Research Reports, 10(2), 676–711. https://doi.org/10.36676/urr.v10.i2.1375

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Section

Original Research Article

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