Chapter One — 1.1 Background to the Study

In recent years, Data-Driven Decision Making has emerged as a critical factor shaping requirements traceability across organizations operating in and around Enugu State. As institutions grapple with the pressures of globalization, regulatory reform, and shifting stakeholder expectations, understanding how data-driven decision making relates to requirements traceability has become an important area of both scholarly and practical concern.

Within the context of Enugu State, this relationship carries particular significance. Organizations in this setting operate under a distinct combination of economic, regulatory, and market conditions that may amplify or dampen the effect of data-driven decision making on requirements traceability, making a context-specific inquiry both timely and necessary.

1.2 Statement of the Problem

While data-driven decision making is widely discussed in policy and industry circles, empirical evidence on its actual effect on requirements traceability within Enugu State remains sparse and, in places, contradictory. This lack of localized, rigorous evidence makes it difficult for decision-makers to know with confidence whether current approaches to data-driven decision making are helping or hindering requirements traceability — a gap this study sets out to close.

1.3 Objectives of the Study

1. To examine the effect of Data-Driven Decision Making on requirements traceability in Enugu State.
2. To assess the extent to which data-driven decision making influences requirements traceability within the study area.
3. To identify the challenges associated with data-driven decision making in relation to requirements traceability.
4. To recommend strategies for optimizing data-driven decision making in order to improve requirements traceability.

1.4 Research Questions

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

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 requirements traceability. For managers and practitioners within Enugu State, the study provides practical insight into how data-driven decision making can be better managed. Finally, it contributes to the academic literature on business analysis by extending existing knowledge into a specific empirical context, and offers a reference point for future researchers.

1.6 Scope of the Study

In terms of scope, this study confines itself to Enugu State, focusing specifically on how data-driven decision making relates to requirements traceability within that setting. Findings are interpreted within these boundaries rather than as universal claims applicable to every organization or market.