Designing a Predictive Analytics for the Formulation of Intelligent Decision Making Policies for VIP Customers Investing in the Bank
Special, privileged or VIP customers are of great significance to the banks since they continuously and broadly invest in deposits and remain loyal to the banks. This loyalty is dependent on the broad and specific services they receive, deposit interests, and the tuned regulatory actions that banks...
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| Format: | Article |
| Language: | fas |
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University of Tehran
2017-09-01
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| Series: | Journal of Information Technology Management |
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| Online Access: | https://jitm.ut.ac.ir/article_62895_ea11dbe0ea09c2bde7ef74c33bc925de.pdf |
| _version_ | 1811283705255165952 |
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| author | Iman Raeesi Vanani |
| author_facet | Iman Raeesi Vanani |
| author_sort | Iman Raeesi Vanani |
| collection | DOAJ |
| description | Special, privileged or VIP customers are of great significance to the banks since they continuously and broadly invest in deposits and remain loyal to the banks. This loyalty is dependent on the broad and specific services they receive, deposit interests, and the tuned regulatory actions that banks take for according to the grade of special customers and their propensity to risk. In the current research, a dataset of two thousand ordinary and special privileged customers were collected according to their demographics, accounts information, and level of investment in the bank. The grade of special customer and their propensity to taking risks are also determined by the experts of the bank. Afterwards, a range of learning algorithms are applied for designing and validating classification and prediction methods on special customers’ grades and their propensity to risk. Final results are then analyzed and prepared as a set of intelligent and improvable rules that assist the bank managers in formulating interactive and predictive decision making policies from the initiation of the customer relationship with the bank. |
| first_indexed | 2024-04-13T02:17:27Z |
| format | Article |
| id | doaj.art-dafc5f713bdf40e2a391f3ca799b72d1 |
| institution | Directory Open Access Journal |
| issn | 2008-5893 2423-5059 |
| language | fas |
| last_indexed | 2024-04-13T02:17:27Z |
| publishDate | 2017-09-01 |
| publisher | University of Tehran |
| record_format | Article |
| series | Journal of Information Technology Management |
| spelling | doaj.art-dafc5f713bdf40e2a391f3ca799b72d12022-12-22T03:07:07ZfasUniversity of TehranJournal of Information Technology Management2008-58932423-50592017-09-019347751110.22059/jitm.2017.216587.214462895Designing a Predictive Analytics for the Formulation of Intelligent Decision Making Policies for VIP Customers Investing in the BankIman Raeesi Vanani0Assistant Prof. of Industrial Management, Faculty of Management and Accounting, Allameh Tabataba’i University, Tehran, IranSpecial, privileged or VIP customers are of great significance to the banks since they continuously and broadly invest in deposits and remain loyal to the banks. This loyalty is dependent on the broad and specific services they receive, deposit interests, and the tuned regulatory actions that banks take for according to the grade of special customers and their propensity to risk. In the current research, a dataset of two thousand ordinary and special privileged customers were collected according to their demographics, accounts information, and level of investment in the bank. The grade of special customer and their propensity to taking risks are also determined by the experts of the bank. Afterwards, a range of learning algorithms are applied for designing and validating classification and prediction methods on special customers’ grades and their propensity to risk. Final results are then analyzed and prepared as a set of intelligent and improvable rules that assist the bank managers in formulating interactive and predictive decision making policies from the initiation of the customer relationship with the bank.https://jitm.ut.ac.ir/article_62895_ea11dbe0ea09c2bde7ef74c33bc925de.pdfPredictive AnalyticsPrivileged CustomerIntelligent Decision MakingBank Investment |
| spellingShingle | Iman Raeesi Vanani Designing a Predictive Analytics for the Formulation of Intelligent Decision Making Policies for VIP Customers Investing in the Bank Journal of Information Technology Management Predictive Analytics Privileged Customer Intelligent Decision Making Bank Investment |
| title | Designing a Predictive Analytics for the Formulation of Intelligent Decision Making
Policies for VIP Customers Investing in the Bank |
| title_full | Designing a Predictive Analytics for the Formulation of Intelligent Decision Making
Policies for VIP Customers Investing in the Bank |
| title_fullStr | Designing a Predictive Analytics for the Formulation of Intelligent Decision Making
Policies for VIP Customers Investing in the Bank |
| title_full_unstemmed | Designing a Predictive Analytics for the Formulation of Intelligent Decision Making
Policies for VIP Customers Investing in the Bank |
| title_short | Designing a Predictive Analytics for the Formulation of Intelligent Decision Making
Policies for VIP Customers Investing in the Bank |
| title_sort | designing a predictive analytics for the formulation of intelligent decision making policies for vip customers investing in the bank |
| topic | Predictive Analytics Privileged Customer Intelligent Decision Making Bank Investment |
| url | https://jitm.ut.ac.ir/article_62895_ea11dbe0ea09c2bde7ef74c33bc925de.pdf |
| work_keys_str_mv | AT imanraeesivanani designingapredictiveanalyticsfortheformulationofintelligentdecisionmakingpoliciesforvipcustomersinvestinginthebank |