EST. 2026

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Product Management · BSc · REF. TA-1140

A Systematic Review of Data-Driven Product Decision Making and its Implication for Customer Satisfaction with Digital Products in Selected Microfinance Banks in Nigeria

Abstract

This BSc study investigates the subject matter outlined in the title above through a structured research design appropriate to the BSc level. Using primary and/or secondary data collection methods, the research examines the underlying variables, tests relevant hypotheses, and presents findings with implications for practice and policy. This is placeholder abstract text generated for catalogue preview purposes; the full document contains a complete, topic-specific abstract, literature review, methodology, data analysis, and conclusion.

Chapter One — 1.1 Background to the Study

Data-Driven Product Decision Making has increasingly attracted the attention of researchers, regulators, and practitioners concerned with customer satisfaction with digital products. This growing interest reflects the recognition that data-driven product decision making does not operate in isolation, but interacts with a wider set of institutional and market conditions found within Selected Microfinance Banks in Nigeria.

Selected Microfinance Banks in Nigeria 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 data-driven product decision making, there remains limited consensus on the precise nature of its relationship with customer satisfaction with digital products, particularly within Selected Microfinance Banks in Nigeria. Many organizations continue to make decisions about data-driven product decision making without a clear, evidence-based understanding of how those decisions ultimately affect customer satisfaction with digital products. 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 Product Decision Making on customer satisfaction with digital products in Selected Microfinance Banks in Nigeria.
  2. To assess the extent to which data-driven product decision making influences customer satisfaction with digital products within the study area.
  3. To identify the challenges associated with data-driven product decision making in relation to customer satisfaction with digital products.
  4. To recommend strategies for optimizing data-driven product decision making in order to improve customer satisfaction with digital products.

1.4 Research Questions

  1. What is the effect of data-driven product decision making on customer satisfaction with digital products in Selected Microfinance Banks in Nigeria?
  2. To what extent does data-driven product decision making influence customer satisfaction with digital products within the study area?
  3. What challenges are associated with data-driven product decision making in relation to customer satisfaction with digital products?
  4. What strategies can be adopted to optimize data-driven product decision making in order to improve customer satisfaction with digital products?

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 customer satisfaction with digital products. For managers and practitioners within Selected Microfinance Banks in Nigeria, the study provides practical insight into how data-driven product decision making can be better managed. Finally, it contributes to the academic literature on product management 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 BSc study confines itself to Selected Microfinance Banks in Nigeria, focusing specifically on how data-driven product decision making relates to customer satisfaction with digital products within that setting. Findings are interpreted within these boundaries rather than as universal claims applicable to every organization or market.

Chapters Two through Five, references and appendices are available for a one-time fee of ₦50,000.

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