Building a Secured Data Warehouse for a University Staff Management System: A Case Study of Gombe State University, Gombe

Muhammed Kabir Ahmed; Ahmadu Bappah Muhammad; Abubakar Adamu; Aishatu Yahaya Umar

doi:doi:10.11648/j.ajmcm.20220704.12

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Building a Secured Data Warehouse for a University Staff Management System: A Case Study of Gombe State University, Gombe

Muhammed Kabir Ahmed, Ahmadu Bappah Muhammad, Abubakar Adamu, Aishatu Yahaya Umar

Published in American Journal of Mathematical and Computer Modelling (Volume 7, Issue 4)

Received: 11 December 2022 Accepted: 4 January 2023 Published: 17 January 2023

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Abstract

Universities are among the several organizations with complex activities regarding staff records, payroll, and staff promotion. This work intends to use Data warehouse as a solution to simplify these complex activities. Due to their ability to combine heterogeneous data from several information sources in a single storage location for querying and analysis, data warehousing is gaining importance in terms of strategic decision making throughout time. Data collection is a long-standing practice among organizations. Building a massive data warehouse enables them store all important and relevant information. This information is available, but very few organizations have been able to use it to make informed decisions. Due to the significant role played by the Data Warehouse (DW) and Data Mining in strategic decision making, this work developed a Data Warehouse system that can be used academic staff promotion in a University. The prototype which demonstrated the benefits of Data Warehouse and sensitizes universities in Nigeria to start binding such facilities into their staff management system for the purpose of establishing effective administrative system. The system was implemented under oracle Data Warehouse Builder and is meant to serve as a repository of data for data mining operations. The system offers high degree of accuracy in predicting the case of promotion, staff-students ratio as well as the budget projection.

Published in	American Journal of Mathematical and Computer Modelling (Volume 7, Issue 4)
DOI	10.11648/j.ajmcm.20220704.12
Page(s)	55-60
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2023. Published by Science Publishing Group

Keywords

Data Warehouse, Oracle, Management System

References

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[4]	Majid, A., Dmitriy, D., Brihat, S., Xiaoyuan, C., Jason, B., Steven, B., Ron, P. (2019). Development and Application of a High throughput Natural Language Processing Architecture to convert all Clinical Data Warehouse into Standardized Medical Vocabularies. Journal of the American Informatics Association, 1364-1369.
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[8]	Azman, T., Mohamad, S. A., Suwannit, C. C., & Mohd, H. M. (2017). Data Warehouse System for Blended Learning in Institutions of Higher Education. e-academia Journal, 144-155.
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[10]	Youssef, B. (2012). A Data Warehouse Design for a Typical University Information System. Retrieved from Lebanese Association for computational Sciences: http://www.lacsc.org
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[15]	Earlvon, F. L., John, K. J., Mark, J. K., & Pagatpat, D. D. (2018). Development of a University Financial Data Warehouse and its Visualization Tool. 3rd International Conference on Computer Science and Computational Intelligence (pp. 587-595). Elsevier, Science Direct.
[16]	Kefi, H. and Koppel, N. (2011) ‘Measuring data warehousing success: an empirical investigation applying the DeLone and McLean model’, Int. J. Data Analysis Techniques and Strategies, Vol. 3, No. 2, pp. 178–201.

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APA Style

Muhammed Kabir Ahmed, Ahmadu Bappah Muhammad, Abubakar Adamu, Aishatu Yahaya Umar. (2023). Building a Secured Data Warehouse for a University Staff Management System: A Case Study of Gombe State University, Gombe. American Journal of Mathematical and Computer Modelling, 7(4), 55-60. https://doi.org/10.11648/j.ajmcm.20220704.12

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ACS Style

Muhammed Kabir Ahmed; Ahmadu Bappah Muhammad; Abubakar Adamu; Aishatu Yahaya Umar. Building a Secured Data Warehouse for a University Staff Management System: A Case Study of Gombe State University, Gombe. Am. J. Math. Comput. Model. 2023, 7(4), 55-60. doi: 10.11648/j.ajmcm.20220704.12

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AMA Style

Muhammed Kabir Ahmed, Ahmadu Bappah Muhammad, Abubakar Adamu, Aishatu Yahaya Umar. Building a Secured Data Warehouse for a University Staff Management System: A Case Study of Gombe State University, Gombe. Am J Math Comput Model. 2023;7(4):55-60. doi: 10.11648/j.ajmcm.20220704.12

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@article{10.11648/j.ajmcm.20220704.12,
  author = {Muhammed Kabir Ahmed and Ahmadu Bappah Muhammad and Abubakar Adamu and Aishatu Yahaya Umar},
  title = {Building a Secured Data Warehouse for a University Staff Management System: A Case Study of Gombe State University, Gombe},
  journal = {American Journal of Mathematical and Computer Modelling},
  volume = {7},
  number = {4},
  pages = {55-60},
  doi = {10.11648/j.ajmcm.20220704.12},
  url = {https://doi.org/10.11648/j.ajmcm.20220704.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajmcm.20220704.12},
  abstract = {Universities are among the several organizations with complex activities regarding staff records, payroll, and staff promotion. This work intends to use Data warehouse as a solution to simplify these complex activities. Due to their ability to combine heterogeneous data from several information sources in a single storage location for querying and analysis, data warehousing is gaining importance in terms of strategic decision making throughout time. Data collection is a long-standing practice among organizations. Building a massive data warehouse enables them store all important and relevant information. This information is available, but very few organizations have been able to use it to make informed decisions. Due to the significant role played by the Data Warehouse (DW) and Data Mining in strategic decision making, this work developed a Data Warehouse system that can be used academic staff promotion in a University. The prototype which demonstrated the benefits of Data Warehouse and sensitizes universities in Nigeria to start binding such facilities into their staff management system for the purpose of establishing effective administrative system. The system was implemented under oracle Data Warehouse Builder and is meant to serve as a repository of data for data mining operations. The system offers high degree of accuracy in predicting the case of promotion, staff-students ratio as well as the budget projection.},
 year = {2023}
}

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TY  - JOUR
T1  - Building a Secured Data Warehouse for a University Staff Management System: A Case Study of Gombe State University, Gombe
AU  - Muhammed Kabir Ahmed
AU  - Ahmadu Bappah Muhammad
AU  - Abubakar Adamu
AU  - Aishatu Yahaya Umar
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DO  - 10.11648/j.ajmcm.20220704.12
T2  - American Journal of Mathematical and Computer Modelling
JF  - American Journal of Mathematical and Computer Modelling
JO  - American Journal of Mathematical and Computer Modelling
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PB  - Science Publishing Group
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UR  - https://doi.org/10.11648/j.ajmcm.20220704.12
AB  - Universities are among the several organizations with complex activities regarding staff records, payroll, and staff promotion. This work intends to use Data warehouse as a solution to simplify these complex activities. Due to their ability to combine heterogeneous data from several information sources in a single storage location for querying and analysis, data warehousing is gaining importance in terms of strategic decision making throughout time. Data collection is a long-standing practice among organizations. Building a massive data warehouse enables them store all important and relevant information. This information is available, but very few organizations have been able to use it to make informed decisions. Due to the significant role played by the Data Warehouse (DW) and Data Mining in strategic decision making, this work developed a Data Warehouse system that can be used academic staff promotion in a University. The prototype which demonstrated the benefits of Data Warehouse and sensitizes universities in Nigeria to start binding such facilities into their staff management system for the purpose of establishing effective administrative system. The system was implemented under oracle Data Warehouse Builder and is meant to serve as a repository of data for data mining operations. The system offers high degree of accuracy in predicting the case of promotion, staff-students ratio as well as the budget projection.
VL  - 7
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Author Information

Muhammed Kabir Ahmed

Department of Computer Science, Gombe State University, Gombe, Nigeria
Ahmadu Bappah Muhammad

Department of Mathematics, Gombe State University, Gombe, Nigeria
Abubakar Adamu

Department of Mathematics, Gombe State University, Gombe, Nigeria
Aishatu Yahaya Umar

Department of Computer Science, Gombe State University, Gombe, Nigeria

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Plain Text BibTeX RIS

APA Style

Muhammed Kabir Ahmed, Ahmadu Bappah Muhammad, Abubakar Adamu, Aishatu Yahaya Umar. (2023). Building a Secured Data Warehouse for a University Staff Management System: A Case Study of Gombe State University, Gombe. American Journal of Mathematical and Computer Modelling, 7(4), 55-60. https://doi.org/10.11648/j.ajmcm.20220704.12

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ACS Style

Muhammed Kabir Ahmed; Ahmadu Bappah Muhammad; Abubakar Adamu; Aishatu Yahaya Umar. Building a Secured Data Warehouse for a University Staff Management System: A Case Study of Gombe State University, Gombe. Am. J. Math. Comput. Model. 2023, 7(4), 55-60. doi: 10.11648/j.ajmcm.20220704.12

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AMA Style

Muhammed Kabir Ahmed, Ahmadu Bappah Muhammad, Abubakar Adamu, Aishatu Yahaya Umar. Building a Secured Data Warehouse for a University Staff Management System: A Case Study of Gombe State University, Gombe. Am J Math Comput Model. 2023;7(4):55-60. doi: 10.11648/j.ajmcm.20220704.12

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@article{10.11648/j.ajmcm.20220704.12,
  author = {Muhammed Kabir Ahmed and Ahmadu Bappah Muhammad and Abubakar Adamu and Aishatu Yahaya Umar},
  title = {Building a Secured Data Warehouse for a University Staff Management System: A Case Study of Gombe State University, Gombe},
  journal = {American Journal of Mathematical and Computer Modelling},
  volume = {7},
  number = {4},
  pages = {55-60},
  doi = {10.11648/j.ajmcm.20220704.12},
  url = {https://doi.org/10.11648/j.ajmcm.20220704.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajmcm.20220704.12},
  abstract = {Universities are among the several organizations with complex activities regarding staff records, payroll, and staff promotion. This work intends to use Data warehouse as a solution to simplify these complex activities. Due to their ability to combine heterogeneous data from several information sources in a single storage location for querying and analysis, data warehousing is gaining importance in terms of strategic decision making throughout time. Data collection is a long-standing practice among organizations. Building a massive data warehouse enables them store all important and relevant information. This information is available, but very few organizations have been able to use it to make informed decisions. Due to the significant role played by the Data Warehouse (DW) and Data Mining in strategic decision making, this work developed a Data Warehouse system that can be used academic staff promotion in a University. The prototype which demonstrated the benefits of Data Warehouse and sensitizes universities in Nigeria to start binding such facilities into their staff management system for the purpose of establishing effective administrative system. The system was implemented under oracle Data Warehouse Builder and is meant to serve as a repository of data for data mining operations. The system offers high degree of accuracy in predicting the case of promotion, staff-students ratio as well as the budget projection.},
 year = {2023}
}

Copy | Download

TY  - JOUR
T1  - Building a Secured Data Warehouse for a University Staff Management System: A Case Study of Gombe State University, Gombe
AU  - Muhammed Kabir Ahmed
AU  - Ahmadu Bappah Muhammad
AU  - Abubakar Adamu
AU  - Aishatu Yahaya Umar
Y1  - 2023/01/17
PY  - 2023
N1  - https://doi.org/10.11648/j.ajmcm.20220704.12
DO  - 10.11648/j.ajmcm.20220704.12
T2  - American Journal of Mathematical and Computer Modelling
JF  - American Journal of Mathematical and Computer Modelling
JO  - American Journal of Mathematical and Computer Modelling
SP  - 55
EP  - 60
PB  - Science Publishing Group
SN  - 2578-8280
UR  - https://doi.org/10.11648/j.ajmcm.20220704.12
AB  - Universities are among the several organizations with complex activities regarding staff records, payroll, and staff promotion. This work intends to use Data warehouse as a solution to simplify these complex activities. Due to their ability to combine heterogeneous data from several information sources in a single storage location for querying and analysis, data warehousing is gaining importance in terms of strategic decision making throughout time. Data collection is a long-standing practice among organizations. Building a massive data warehouse enables them store all important and relevant information. This information is available, but very few organizations have been able to use it to make informed decisions. Due to the significant role played by the Data Warehouse (DW) and Data Mining in strategic decision making, this work developed a Data Warehouse system that can be used academic staff promotion in a University. The prototype which demonstrated the benefits of Data Warehouse and sensitizes universities in Nigeria to start binding such facilities into their staff management system for the purpose of establishing effective administrative system. The system was implemented under oracle Data Warehouse Builder and is meant to serve as a repository of data for data mining operations. The system offers high degree of accuracy in predicting the case of promotion, staff-students ratio as well as the budget projection.
VL  - 7
IS  - 4
ER  -

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