Real-Time Data Streaming in BI Dashboards: Opportunities and Challenges

Authors

  • Dip Bharatbhai Patel  University of North America, Virginia, United States of America

DOI:

https://doi.org/10.32628/CSEIT192142

Keywords:

Real-Time Data Streaming, Business Intelligence Dashboards, Decision-Making, Data Analytics, Scalability, Data Security, Operational Efficiency.

Abstract

Real-time data streaming has revolutionized Business Intelligence (BI) dashboards, enabling organizations to make instantaneous decisions based on live data feeds. This paper explores the opportunities and challenges associated with integrating real-time data streaming into BI dashboards. Opportunities such as enhanced decision-making, improved operational efficiency, and competitive advantage are examined alongside challenges including technical complexities, data security concerns, and scalability issues. By understanding these factors, organizations can better leverage real-time streaming to enhance their BI capabilities and drive strategic outcomes.

References

  1. Alsaeedi, A. A. A. S., Elabrashy, M. M. M., Alzeyoudi, M. A., Albadi, M. M., Soni, S., Isambertt, J., ... & Hidalgo, M. (2021, December). Leveraging business intelligence and data analytics in an integrated digital production platform to unlock optimization potentials. In Abu Dhabi International Petroleum Exhibition and Conference (p. D011S009R002). SPE. https://doi.org/10.2118/208209-MS
  2. Dulam, N., Gade, K. R., & Ankam, M. (2021). Real-Time Analytics on Snowflake: Unleashing the Power of Data Streams. Journal of Bioinformatics and Artificial Intelligence, 1(2), 91-114. https://biotechjournal.org/index.php/jbai/article/view/138
  3. Munagandla, V. B., Dandyala, S. S. V., & Vadde, B. C. (2022). The Future of Data Analytics: Trends, Challenges, and Opportunities. Revista de Inteligencia Artificial en Medicina, 13(1), 421-442. https://redcrevistas.com/index.php/Revista/article/view/171
  4. Nabil, D. H., Rahman, M. H., Chowdhury, A. H., & Menezes, B. C. (2023). Managing supply chain performance using a real time Microsoft Power BI dashboard by action design research (ADR) method. Cogent Engineering, 10(2), 2257924. https://doi.org/10.1080/23311916.2023.2257924
  5. Sousa, R., Miranda, R., Moreira, A., Alves, C., Lori, N., & Machado, J. (2021). Software tools for conducting real-time information processing and visualization in industry: An up-to-date review. Applied Sciences, 11(11), 4800. https://doi.org/10.3390/app11114800
  6. Quynh, D. T. (2023). The Impact of Dashboards on Risk Management and Decision-Making in Finance. Journal of Empirical Social Science Studies, 7(4), 51-63.

IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

Downloads

Published

2019-07-15

Issue

Volume 5, Issue 4, July-August-2019

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Dip Bharatbhai Patel, " Real-Time Data Streaming in BI Dashboards: Opportunities and Challenges" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 5, Issue 4, pp.345-349, July-August-2019. Available at doi : https://doi.org/10.32628/CSEIT192142