Background of the Study
Data mining involves extracting useful patterns and knowledge from large datasets. Retail firms, through the use of data mining techniques, can gain valuable insights into customer behavior, preferences, market trends, and competitive positioning. In Jigawa State, many retail businesses are beginning to leverage data mining tools to make informed decisions about product offerings, marketing strategies, and inventory management. This study aims to examine the effect of data mining on market intelligence and how retail firms in Jigawa State can use it to improve decision-making and competitive advantage (Hassan & Ayo, 2023).
Statement of the Problem
Despite the potential of data mining techniques to enhance market intelligence, many retail firms in Jigawa State struggle with adopting these methods effectively. Challenges such as lack of expertise, data quality issues, and limited access to advanced tools hinder their ability to gain actionable insights from customer and market data. This study will explore how data mining techniques can be utilized to improve market intelligence in retail firms in the state (Mohammed & Bello, 2024).
Objectives of the Study
Research Questions
Research Hypotheses
Scope and Limitations of the Study
This study will focus on retail firms in Jigawa State that have implemented data mining techniques. Limitations may include difficulties in accessing firms that use data mining tools and biases in responses regarding the effectiveness of these techniques.
Definitions of Terms
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Chapter One: Introduction
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