Background of the Study
Cloud-based analytics has revolutionized retail decision-making by enabling businesses to analyze large volumes of data in real time without significant on-premises infrastructure. By leveraging cloud platforms, supermarkets can enhance inventory management, customer relationship strategies, and marketing decisions (Smith & Wang, 2024). The scalability and cost-effectiveness of cloud-based analytics make it an ideal solution for modern retail businesses.
In Kebbi State, supermarkets are striving to improve their competitiveness in a dynamic retail environment. However, traditional decision-making approaches often lack the agility and precision required to address emerging market trends. Cloud-based analytics offers supermarkets the ability to optimize operations and enhance customer satisfaction. This study evaluates the adoption and impact of cloud-based analytics on retail decision-making in supermarkets in Kebbi State.
Statement of the Problem
Despite the potential of cloud-based analytics to transform retail operations, supermarkets in Kebbi State have been slow to adopt these technologies. Factors such as high initial costs, lack of technical expertise, and inadequate infrastructure contribute to this lag. This hampers their ability to make informed decisions, manage inventory efficiently, and compete effectively in the market (Bello et al., 2023). The study investigates the role of cloud-based analytics in addressing these challenges and improving retail decision-making in Kebbi State.
Objectives of the Study
To assess the adoption level of cloud-based analytics in supermarkets in Kebbi State.
To evaluate the impact of cloud-based analytics on retail decision-making processes.
To identify challenges supermarkets face in adopting cloud-based analytics.
Research Questions
What is the adoption level of cloud-based analytics in supermarkets in Kebbi State?
How does cloud-based analytics impact retail decision-making processes?
What challenges do supermarkets face in adopting cloud-based analytics?
Research Hypotheses
There is no significant relationship between the adoption of cloud-based analytics and retail decision-making effectiveness.
Cloud-based analytics does not significantly impact inventory management or customer satisfaction.
The challenges in adopting cloud-based analytics are not significant in supermarkets in Kebbi State.
Scope and Limitations of the Study
The study focuses on supermarkets in Kebbi State, assessing their use of cloud-based analytics for retail decision-making. Limitations include access to proprietary sales data and variability in technology adoption across supermarkets.
Definitions of Terms
Cloud-Based Analytics: Analytics conducted using cloud computing platforms, offering real-time and scalable data processing capabilities.
Retail Decision-Making: The process of making informed business decisions in the retail sector.
Supermarkets: Large retail establishments offering a wide range of consumer goods.
Chapter One: Introduction
Chapter One: Introduction
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