Background of the study
In recent years, data analytics has emerged as a powerful tool in retail business management, providing actionable insights that help businesses make informed decisions to improve operations, optimize pricing, enhance customer experience, and increase sales (Olajide & Muktar, 2023). Retailers are increasingly adopting data analytics to drive decisions related to inventory management, customer segmentation, sales forecasting, and promotional strategies (Suleiman & Adebayo, 2024). In Bauchi State, as in many other regions, retail businesses are striving to harness data analytics to maintain competitiveness in a rapidly changing market.
The potential benefits of data analytics in retail decision-making are vast, ranging from personalized customer interactions to improved inventory control. By analyzing customer data, purchasing trends, and sales performance, retailers can better understand consumer behavior, optimize their supply chains, and create targeted marketing campaigns. However, despite the growing recognition of the value of data analytics, many retail businesses in Bauchi State have yet to fully realize its potential. This study seeks to assess the role of data analytics in improving decision-making processes within retail businesses in the state.
Statement of the problem
Although data analytics holds great promise for improving retail decision-making, many retail businesses in Bauchi State face challenges in adopting and effectively implementing data-driven strategies. Retailers may lack the necessary technological infrastructure, skilled personnel, or data management practices required to leverage analytics to its full potential. As a result, retail businesses may miss opportunities to improve their decision-making, leading to inefficiencies, lost sales, and suboptimal customer engagement. This study aims to assess the current state of data analytics in Bauchi State's retail businesses and explore how its use can improve key retail decisions.
Objectives of the study
To evaluate the role of data analytics in improving decision-making processes in retail businesses in Bauchi State.
To analyze the impact of data analytics on inventory management, pricing strategies, and marketing decisions in Bauchi State's retail sector.
To explore the challenges faced by retail businesses in Bauchi State in adopting and utilizing data analytics for decision-making.
Research questions
How does data analytics improve decision-making processes in retail businesses in Bauchi State?
What impact does data analytics have on inventory management, pricing strategies, and marketing decisions in Bauchi State's retail businesses?
What challenges do retail businesses in Bauchi State face in adopting and utilizing data analytics?
Research hypotheses
The use of data analytics significantly improves decision-making processes in retail businesses in Bauchi State.
Data analytics positively impacts inventory management, pricing strategies, and marketing decisions in retail businesses in Bauchi State.
Retail businesses in Bauchi State face significant challenges in adopting and utilizing data analytics for decision-making.
Scope and limitations of the study
This study will focus on retail businesses in Bauchi State, specifically assessing the use of data analytics in improving retail decision-making. Limitations include the availability of data, especially from businesses that may not have fully implemented data analytics, and the potential reluctance of businesses to share information about their internal decision-making processes.
Definitions of terms
Data Analytics: The process of analyzing large sets of data to extract meaningful insights that can guide business decision-making.
Retail Decision-Making: The process by which retail managers make strategic and operational decisions based on market trends, customer behavior, and business data.
Inventory Management: The process of ordering, storing, and tracking products to ensure optimal stock levels and reduce costs.
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