Certificate: View Certificate
Published Paper PDF: PDF
Confirmation Letter: View
DOI: https://doi.org/10.63345/ijrmeet.org.v6.i10.1
Pavani Santosh Bhupathiraju
Faculty Of Computer & Information Science,
North East Christian University
Dimapur, Nagaland
Orcid ID- 0009-0000-9303-6659
Dr. Vipin Kumar
Faculty Of Computer & Information Science,
North East Christian University
Dimapur, Nagaland
ABSTRACT
In the era of digital transformation, the convergence of database technologies and decision sciences represents a pivotal advancement in business intelligence and strategic management. Modern organizations operate in data-intensive environments that demand the integration of robust data storage systems with analytical models capable of transforming raw information into actionable knowledge. This research paper examines the intersection of database technologies—spanning relational, distributed, and cloud-based systems—with decision sciences, encompassing predictive analytics, optimization, and data-driven strategy formulation. Drawing from interdisciplinary literature, the study analyzes how evolving database architectures and analytical tools collectively enhance managerial decision-making. The findings reveal that this convergence fosters agility, precision, and innovation in corporate governance while also posing challenges related to data integrity, scalability, and ethical decision-making. The paper concludes with a conceptual model that aligns technological capability with decision-making maturity, emphasizing the need for continuous adaptation in data-driven enterprises.
REFERENCES
- Barney, J. (1991). Firm resources and sustained competitive advantage. Journal of Management, 17(1), 99–120.
- Chen, H., Chiang, R. H. L., & Storey, V. C. (2012). Business intelligence and analytics: From big data to big impact. MIS Quarterly, 36(4), 1165–1188.
- Codd, E. F. (1970). A relational model of data for large shared data banks. Communications of the ACM, 13(6), 377–387.
- DeLone, W. H., & McLean, E. R. (2003). The DeLone and McLean model of information systems success: A ten-year update. Journal of Management
- Information Systems, 19(4), 9–30.
Elmasri, R., & Navathe, S. (2017). Fundamentals of - Database Systems (7th ed.). Pearson.
Power, D. J. (2002). Decision Support Systems: Concepts and Resources for Managers. Greenwood Publishing. - Turban, E., Sharda, R., Delen, D., & King, D. (2011). Business Intelligence: A Managerial Approach. Prentice Hall.
