Chapter One — 1.1 Background to the Study

Over the past decade, the relationship between data-driven decision making and project success rate has become a subject of considerable debate among scholars and industry practitioners alike, particularly within the context of Evidence from Sub-Saharan Africa where operating conditions differ markedly from more developed markets.

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

In terms of scope, this study confines itself to Evidence from Sub-Saharan Africa, focusing specifically on how data-driven decision making relates to project success rate within that setting. Findings are interpreted within these boundaries rather than as universal claims applicable to every organization or market.