Chapter One — 1.1 Background to the Study

Data-Driven Decision Making has increasingly attracted the attention of researchers, regulators, and practitioners concerned with project success rate. This growing interest reflects the recognition that data-driven decision making does not operate in isolation, but interacts with a wider set of institutional and market conditions found within Evidence from Sub-Saharan Africa.

Evidence from Sub-Saharan Africa 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

While data-driven decision making is widely discussed in policy and industry circles, empirical evidence on its actual effect on project success rate within Evidence from Sub-Saharan Africa 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 project success rate — 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 project success rate in Evidence from Sub-Saharan Africa.
2. To assess the extent to which data-driven decision making influences project success rate within the study area.
3. To identify the challenges associated with data-driven decision making in relation to project success rate.
4. To recommend strategies for optimizing data-driven decision making in order to improve project success rate.

1.4 Research Questions

1. What is the effect of data-driven decision making on project success rate in Evidence from Sub-Saharan Africa?
2. To what extent does data-driven decision making influence project success rate within the study area?
3. What challenges are associated with data-driven decision making in relation to project success rate?
4. What strategies can be adopted to optimize data-driven decision making in order to improve project success rate?

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 project success rate. For managers and practitioners within Evidence from Sub-Saharan Africa, 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

The study is limited to an examination of Data-Driven Decision Making and its relationship with project success rate within the context of Evidence from Sub-Saharan Africa. It reflects a MSc-level 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.