The Impact of Business Intelligence Factors on Risk Management: A Study of Technical and Human-Administrative Risks

Introduction: As organizations face increasingly complex challenges, the ability to manage risks effectively has become a strategic imperative. This study investigates the influence of business intelligence (BI) factors—data quality, infrastructure, security, and human skills—on managing technical and human-administrative risks. Method: A conceptual model comprising four hypotheses is proposed to evaluate these relationships. Using survey data collected from BI professionals and risk management experts, the study applies advanced statistical techniques to assess the hypotheses. Results: The findings reveal that data quality, robust infrastructure, and effective security protocols are key determinants of mitigating technical risks, while human skills significantly impact the management of human-administrative risks.Conclusion: These insights underline the necessity of aligning BI systems with organizational risk strategies, offering a practical framework for businesses aiming to improve their resilience in a competitive landscape.

Publication Details

Journal
Dialnet (Universidad de la Rioja)
Published
2025-01-01
Primary Topic
Big Data and Business Intelligence
Type
article
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article

The Impact of Business Intelligence Factors on Risk Management: A Study of Technical and Human-Administrative Risks

Dialnet (Universidad de la Rioja)
Big Data and Business Intelligence
article

The Impact of Business Intelligence Factors on Risk Management: A Study of Technical and Human-Administrative Risks

article en

Abstract

Introduction: As organizations face increasingly complex challenges, the ability to manage risks effectively has become a strategic imperative. This study investigates the influence of business intelligence (BI) factors—data quality, infrastructure, security, and human skills—on managing technical and human-administrative risks. Method: A conceptual model comprising four hypotheses is proposed to evaluate these relationships. Using survey data collected from BI professionals and risk management experts, the study applies advanced statistical techniques to assess the hypotheses. Results: The findings reveal that data quality, robust infrastructure, and effective security protocols are key determinants of mitigating technical risks, while human skills significantly impact the management of human-administrative risks.Conclusion: These insights underline the necessity of aligning BI systems with organizational risk strategies, offering a practical framework for businesses aiming to improve their resilience in a competitive landscape.

Dialnet (Universidad de la Rioja)
Industry, innovation and infrastructure
Openalex Percentile: Top 35%
Big Data and Business Intelligence
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