Contemplation of Cash Inflow in ATMs using Big Data based on Hadoop Architecture |
Author(s): |
| Mr. Saurabh Singh , ARMY INSTITUTE OF TECHNOLOGY |
Keywords: |
| Regression, Time Series, Linear Regression, ARIMA |
Abstract |
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In todays world, one of the most challenging task for a bank is to maintain cash in their ATMs (Automated Teller Machines) so that they can easily serve their customers. Hence, we are attempting to build a model, which can predict the amount of cash that needs to be put into the ATMs. Cash Management and Optimization are crucial activity for any bank. Therefore, Bank needs to predict the cash inflow into the ATMs very accurately. For instance, cash demand is subject to follow the period of time, position of ATMs. In addition, the quantity of cash drawn may subject to factor such as Holiday pattern may follow weekly, monthly and annual cycles, Festivals that may cause dynamism in the overall requirement to avoid cash inflow cycle outburst using Open Source Technology. |
Other Details |
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Paper ID: IJSRDV7I20972 Published in: Volume : 7, Issue : 2 Publication Date: 01/05/2019 Page(s): 1078-1080 |
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