Role of Data Mining in Managerial Decisions

Authors(1) :-Dr. Javed Iqbal

In the age of technology, huge electronic data repositories are being maintained by business houses and financial institutions. Information for longer periods is being kept in these data repositories. The huge size of these data sources make it possible for financial analysts to come up with interesting information that helps in the decision making for future operations. In this paper an attempt has been made to analyse the role of data mining and its contribution to solving business problems in banking and finance by finding patterns, causalities, and correlations in business information and market prices that are not immediately apparent to managers because of the global market competition and market volatility. In this paper, the researcher has tried to highlight the application of data mining that has definitely positive impact on risk management, portfolio management, trading, customer profiling and customer care, where data mining techniques can be used in banks and other financial institutions to enhance performance through efficient decision-making.

Authors and Affiliations

Dr. Javed Iqbal
School of Management Studies, BGSB University Rajouri, Jammu & Kashmir, India

Data Mining, Financial Markets, Financial Institutions, Risk Management, Portfolio Management, Technology, Decision Making

  1. Wang, S. (2010). A Comprehensive Survey of Data Mining-Based Accounting-Fraud Detection Research. International Conference on Intelligent Computation Technology and Automation, vol. 1, pp.50-53, 2010.
  2. Bologna, Jack & Lindquist, R. J. (1987). Fraud Auditing and Forensic Accounting. New York: John Wiley & Sons, 1987.
  3. Feroz, E.H., Kwon, T.M., Pastena, V., & Park, K.J. (2000). The efficacy of red flags in predicting the SEC's targets: an artificial neural networks approach, International Journal of Intelligent Systems in Accounting, Finance, and Management 9 (3) 145–157.
  4. T.G. Calderon and J.J. Cheh: “A Roadmap for Future Neural Networks Research in Auditing and Risk Assessment”, International Journal of AccountingInformation Systems, Volume 3, Issue 4, December, 2002, pp.203-236.
  5. M.J. Kim and I. Han: “The Discovery of Experts’ Decision Rules fromQualitative Bankruptcy Data using Genetic Algorithms”, Expert Systemswith Applications, Volume 15, Issue 4, November, 2003, pp.637-646.
  6. C.S. Park and I. Han: “A Case-basedreasoning with the Feature WeightsDerived by Analytic Hierarchy Process for Bankruptcy Prediction”, Expert Systems with Applications, Volume 23, Issue3, October, 2002, pp.255-264.
  7. M.J. Beynon and M.J. Peel: “Variable Precision Rough Set Theory andData Discretisation: an Application to Corporate Failure Prediction”,Omega International Journal of Management Science, Volume 29, Issue 6, December, 2001, pp. 561-576.

Publication Details

Published in : Volume 4 | Issue 1 | March-April 2018
Date of Publication : 2018-04-25
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 262-267
Manuscript Number : CSEIT411844
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Dr. Javed Iqbal, "Role of Data Mining in Managerial Decisions", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 4, Issue 1, pp.262-267, March-April-2018.
Journal URL :

Article Preview

Follow Us

Contact Us