Abstract
In today's dynamic retail landscape, data-driven decision-making is transforming the industry (Dekimpe, 2020). This study investigates the impact of data utilization in the retail sector, with the example of REDUNIQ Insights—a tailored data analytics solution for Portuguese retailers. Through qualitative interviews with REDUNIQ Insights clients, industry experts, and practitioners, this study exploresthe challenges and opportunities posed by the adoption of retail analytics. This research reveals that while retailers acknowledge the value of data, they encounter challenges in maximizing its potential. Challenges include data overload, unclear use cases, and limited data analysis capabilities. REDUNIQ Insights emerges as a enabler, empowering retailers to make informed decisions, comprehend consumer behavior, assess economic impacts, and optimize operations. To enhance REDUNIQ Insights' value proposition, the study offers recommendations, including the development of more segmented reports,improved cost-benefit ratios, assistance in identifying suitable use cases, investments in data analysis capabilities, while also highlighting the potential for adopting data analytics in the retail sector. Establishing an ongoing feedback loop with users is pivotal for maintaining the relevance of REDUNIQ Insights. As retailers navigate the complexities of the modern market, data-driven decision-making, supported by solutions like REDUNIQ Insights, stands as a driving force shaping the industry's future. This research deepens the understanding of the
challenges and opportunities associated with retail analytics, providing practical insights for companies seeking a competitive edge in the data-driven era.
Date of Award | 24 Oct 2023 |
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Original language | English |
Awarding Institution |
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Supervisor | Rute Xavier (Supervisor) |
Keywords
- Retail analytics
- Data-driven decision-making
- Retail industry
- Data utilization
Designation
- Mestrado em Gestão e Administração de Empresas