Browsing by Author "Gichuki Michael M"

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    Business Intelligence and Tax Compliance in Kenya
    (NDU-K, 2024) Gichuki Michael M
    The integration of Business Intelligence (BI) is the main emphasis of this research project, which explores the crucial areas of tax compliance in Kenya because BI aids in informing and improving business entities decision making. The background of this project is defined by Kenya's dynamic economy and the crucial function that taxes play in fostering national advancement. As Kenya works to increase tax compliance, the study aims to provide insights into potential problems and opportunities connected to the adoption of BI in tax administration. This study's primary objective is to investigate the role of business intelligence in improving tax compliance in Kenya. To achieve this, a mixed-approaches research strategy that blends qualitative and quantitative research methods was used. This methodological decision offers a thorough understanding of the study issue by capturing both the complexity of stakeholders' points of view and the statistical patterns within the data. The Kenya Revenue Authority “(KRA) officials and staff who are in charge of tax collection, enforcement, and policy development provided data for this project. Structured questionnaire and interview guide were the key methods for acquiring data. The full investigation of the research objectives was ensured by this multimodal approach, which also captures the intricate dynamics of tax compliance and financial security. The quantitative data obtained through structured surveys was statistically analysed using descriptive and inferential statistics to determine how successfully BI technologies have boosted compliance. From the findings, it was clear that BI is a major determinant of tax compliance whereby it was observed that a change of BI by one unit increased tax compliance by 39 percent. On descriptive statistics, 54.5 percent believed that there was a positive relationship between Business Intelligence and tax compliance. In addition, data quality and accuracy was ranked as the most influential tool in improving the effectiveness of BI. Other significant factors were staff training on BI, Support from Top Management and security of the BI infrastructure. It was also evident from the analysis that for BI to be effective it must be integrated with other existing systems. Additionally, this study attempted to offer fact-based recommendations to Kenyan Policymakers and tax officials. The data analysis for the thesis offered beneficial recommendations for using BI to improve financial security and tax compliance. These recommendations were supported by the findings of empirical research and would help tax administration decision-makers make informed decisions. Finally, this research contributed to the greater conversation on effective tax administration and economic development in Kenya.