CLOUD ANALYTICS PRACTICES AND PERFORMANCE OF STATE DEPARTMENT FOR HIGHER EDUCATION & RESEARCH IN KENYA

Felix Rutto, Dr. Yusuf Muchelule

Abstract


Purpose: The aim of this study was to examine the influence cloud analytics practices on the performance of the State Department for Higher Education & Research (SDHER), Kenya.  The specific objectives were to examine the influence of data management analytics; and to assess the influence of security compliance analytics on performance of State Department for Higher Education & Research in Kenya, Kenya. The study was anchored on Technology Organization Environment theory.

Methodology: In this study, the research strategy adopted was descriptive survey approach. the target population consisted of 160 personnel with ICT and technical mandates in the agencies under the state department. Due the small number, a census was adopted and the 160 individuals involved.  Questionnaire was the main data collection tool, both descriptive and inferential analysis were conducted. Published reports also used as secondary source of data.

Findings: The study found a positive, significant, and strong correlation (r = 0.927; p<0.001) on data management analytics and performance of State Department for Higher Education & Research in Kenya as well as a significant weak correlation (r = 0.191; p<0.015) between Security compliance analytics and performance of State Department for Higher Education & Research in Kenya. From the regression analysis, data management analytics significantly influenced performance of State Department for Higher Education & Research in Kenya by 0.635 or 63.5% while Security compliance analytics significantly influenced performance of State Department for Higher Education & Research in Kenya by 0 .152 or 15.2%.

Recommendations: The state department should ensure the cloud solutions come with in-built data government and business intelligence capabilities; are scalable and can easily be adjusted to meet the storage and computing needs. The Government agencies should invest in advanced security technologies and ensure there is regular update and patching of the systems to ensure timely detection of anomalies, fraud and other security threats. The cloud solutions should also have security analytics capabilities with in-built threat detection and prevention tools; logging, automated vulnerability scans, and threat neutralization. Government agencies looking for a new partner to power their current and future government IT needs ensure security compliance by selecting a cloud provider with strong data protection measures to ensure compliance to Data Protection Act of 2019 and related regulations.

 Keywords: Data Management Analytics, Security Compliance Analytics, Cloud computing analytics, performance of state department for higher education & research


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