Zent employee social security system
This research study aims at producing a proposed ZENT Employee Social Security System that delivers an automated employee access to social security credit. The development of this system was driven by the incompetence processing of the long serving social security access system. More so, the propose...
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Language: | English |
Published: |
Midlands State University
2019
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Online Access: | http://hdl.handle.net/11408/3609 |
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_version_ | 1779905243360788480 |
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author | Maringe, Robert |
author_facet | Maringe, Robert |
author_sort | Maringe, Robert |
collection | DSpace |
description | This research study aims at producing a proposed ZENT Employee Social Security System that delivers an automated employee access to social security credit. The development of this system was driven by the incompetence processing of the long serving social security access system. More so, the proposed ZENT social security system was developed using the modern technology adopted from the object oriented language classes. The benefits of developing such as a statement proved to outstand the related costs. The study advanced to outline the system user manual and document the data mining methods used to develop the proposed system. |
id | ir-11408-3609 |
institution | My University |
language | English |
publishDate | 2019 |
publisher | Midlands State University |
record_format | dspace |
spelling | ir-11408-36092022-06-27T13:49:05Z Zent employee social security system Maringe, Robert Automated employee access Social security credit. This research study aims at producing a proposed ZENT Employee Social Security System that delivers an automated employee access to social security credit. The development of this system was driven by the incompetence processing of the long serving social security access system. More so, the proposed ZENT social security system was developed using the modern technology adopted from the object oriented language classes. The benefits of developing such as a statement proved to outstand the related costs. The study advanced to outline the system user manual and document the data mining methods used to develop the proposed system. 2019-05-03T13:19:40Z 2019-05-03T13:19:40Z 2018 http://hdl.handle.net/11408/3609 en open Midlands State University |
spellingShingle | Automated employee access Social security credit. Maringe, Robert Zent employee social security system |
title | Zent employee social security system |
title_full | Zent employee social security system |
title_fullStr | Zent employee social security system |
title_full_unstemmed | Zent employee social security system |
title_short | Zent employee social security system |
title_sort | zent employee social security system |
topic | Automated employee access Social security credit. |
url | http://hdl.handle.net/11408/3609 |
work_keys_str_mv | AT maringerobert zentemployeesocialsecuritysystem |