Chapter One — 1.1 Background to the Study

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

Within the context of Selected Federal Government Parastatals in Nigeria, 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 decision-making quality, making a context-specific inquiry both timely and necessary.

1.2 Statement of the Problem

Despite a growing body of literature on data-driven decision making, there remains limited consensus on the precise nature of its relationship with decision-making quality, particularly within Selected Federal Government Parastatals in Nigeria. Many organizations continue to make decisions about data-driven decision making without a clear, evidence-based understanding of how those decisions ultimately affect decision-making quality. 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 Data-Driven Decision Making on decision-making quality in Selected Federal Government Parastatals in Nigeria.
2. To assess the extent to which data-driven decision making influences decision-making quality within the study area.
3. To identify the challenges associated with data-driven decision making in relation to decision-making quality.
4. To recommend strategies for optimizing data-driven decision making in order to improve decision-making quality.

1.4 Research Questions

1. What is the effect of data-driven decision making on decision-making quality in Selected Federal Government Parastatals in Nigeria?
2. To what extent does data-driven decision making influence decision-making quality within the study area?
3. What challenges are associated with data-driven decision making in relation to decision-making quality?
4. What strategies can be adopted to optimize data-driven decision making in order to improve decision-making quality?

1.5 Significance of the Study

Beyond its academic contribution to the field of business analysis, this study has practical value for management teams within Selected Federal Government Parastatals in Nigeria seeking to understand how data-driven decision making translates into measurable outcomes around decision-making quality. It is equally useful to students and future researchers looking for a localized empirical reference on this relationship.

1.6 Scope of the Study

In terms of scope, this BSc study confines itself to Selected Federal Government Parastatals in Nigeria, focusing specifically on how data-driven decision making relates to decision-making quality within that setting. Findings are interpreted within these boundaries rather than as universal claims applicable to every organization or market.