Chapter One — 1.1 Background to the Study

Over the past decade, the relationship between big data analytics adoption and decision-making accuracy has become a subject of considerable debate among scholars and industry practitioners alike, particularly within the context of Benue State where operating conditions differ markedly from more developed markets.

Benue State presents a useful setting for examining this relationship precisely because the conditions there — structural, regulatory, and behavioural — differ from those typically assumed in the broader literature, most of which draws on evidence from more developed economies.

1.2 Statement of the Problem

Despite a growing body of literature on big data analytics adoption, there remains limited consensus on the precise nature of its relationship with decision-making accuracy, particularly within Benue State. Many organizations continue to make decisions about big data analytics adoption without a clear, evidence-based understanding of how those decisions ultimately affect decision-making accuracy. This gap between practice and empirical understanding is the central problem this study seeks to address.

1.3 Objectives of the Study

1. To examine the effect of Big Data Analytics Adoption on decision-making accuracy in Benue State.
2. To assess the extent to which big data analytics adoption influences decision-making accuracy within the study area.
3. To identify the challenges associated with big data analytics adoption in relation to decision-making accuracy.
4. To recommend strategies for optimizing big data analytics adoption in order to improve decision-making accuracy.

1.4 Research Questions

1. What is the effect of big data analytics adoption on decision-making accuracy in Benue State?
2. To what extent does big data analytics adoption influence decision-making accuracy within the study area?
3. What challenges are associated with big data analytics adoption in relation to decision-making accuracy?
4. What strategies can be adopted to optimize big data analytics adoption in order to improve decision-making accuracy?

1.5 Significance of the Study

This study is significant to a range of stakeholders. For policymakers and regulators, the findings offer evidence to guide the design of frameworks that support healthier outcomes around decision-making accuracy. For managers and practitioners within Benue State, the study provides practical insight into how big data analytics adoption can be better managed. Finally, it contributes to the academic literature on data analysis by extending existing knowledge into a specific empirical context, and offers a reference point for future researchers.

1.6 Scope of the Study

The study is limited to an examination of Big Data Analytics Adoption and its relationship with decision-making accuracy within the context of Benue State. It reflects a clearly defined scope of analysis and relies on data and perspectives available within that scope; generalizing the findings beyond this specific context should therefore be done with appropriate caution.