Abstract
Data analytics capabilities integrated with Customer Relationship Management Systems play an important role to enable customer-centric sales activities at financial institutions. This paper reports a case study on developing a data mining model to identify the Next Best Offer (NBO) for selling financial products to bank’s customers. The case study emphasizes importance of collaboration among data scientists and business representatives in iterative refinement of the prediction models. It has been shown that the iterative refinement and combination of various modeling techniques lead to accuracy improvement by 30% and facilitates acceptance of the modeling results.
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References
Patel, B.N., Prajapati, S.G., Lakhtaria, K.I.: Bonfring Int. J. Data Min. Efficient classification of data using decision tree 2, 6 (2012)
Markarian, J., Brobst, S., Bedell, J.: Critical success factors deploying pervasive BI. Informatica Teradata MicroStrategy 1007, 3 (2007). EB-5408
Pegasystems Inc.: Next-Best-Action Marketing: A Customer Centric Approach (2012)
Wang, K., Zhao, Q., Lu, J., Yu, T.: K-profiles: a nonlinear clustering method for pattern detection in high dimensional data. Biomed. Res. Int. 2015, 918954 (2015)
Jiang, D., Tang, C., Zhang, A.: Cluster analysis for gene expression data: a survey. IEEE Trans. Knowl. Data Eng. 16(11), 1370–1386 (2004)
Hastie, T., Tibshirani, R., Friedman, J.H.: The Elements of Statistical Learning: Data Mining, Inference, and Prediction. Springer, New York (2009)
Digital Trends in the Financial Services and Insurance Sector (2016)
Sanjiv, K.R.: Next Best Action: The One-To-One Future. www.wipro.com
Tanner Jr., J.F., Ahearne, M., Leigh, T.W., Mason, C.H., Moncrief, W.C.: CRM in sales-intensive organizations a review and future directions. J. Pers. Sell. Sales Manag. 25, 169–180 (2005)
Najafabadi, M.M., Villanustre, F., Khoshgoftaar, T.M., Seliya, N., Wald, R., Muharemagic, E.: Deep learning applications and challenges in big data analytics. J. Big Data 2(1), 1–21 (2015)
Chapman, P., Clinton, J., Kerber, R., Khabaza, T., Reinartz, T., Shearer, C., Wirth, R.: CRISPDM 1.0 step-by-step data mining guide. Technical report, CRISP-DM (2000)
Sivarajah, U., Kamal, M.M., Irani, Z., Weerakkody, V.: Critical analysis of Big Data challenges and analytical methods. J. Bus. Res. 70, 263–286 (2016)
Croft, J.: Advanced next best offer marketing using predictive analytics. Appl. Mark. Anal. 1(4), 363–376 (2014). AUTUMN/FALL 2015
Sasikala, D., Kalaiselvi, S.: Data Mining for Business Intelligence in CRM System. Sri Vasavi College, (sfw), Bharathiar University, Erode-638 316, India (2016)
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Gončarovs, P., Grabis, J. (2017). Using Data Analytics for Continuous Improvement of CRM Processes: Case of Financial Institution. In: Kirikova, M., et al. New Trends in Databases and Information Systems. ADBIS 2017. Communications in Computer and Information Science, vol 767. Springer, Cham. https://doi.org/10.1007/978-3-319-67162-8_31
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DOI: https://doi.org/10.1007/978-3-319-67162-8_31
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