Data Analytics Application in Fashion Retail SMEs (A Case Study in Caracas Fashion Store)

Authors

  • Santorini Surabani School of Computing, Universiti Utara Malaysia, Malaysia
  • Bradlow Rodriguez School of Computing, Universiti Utara Malaysia, Malaysia

DOI:

https://doi.org/10.58776/ijitcsa.v1i1.17

Keywords:

Predictive Analytics, Web Traffic, Customer Conversion, Google Analytics

Abstract

Data analytics plays a paramount role in maximizing productivity and profitability for businesses by deriving insights from pre-existing data to predict market trends and client habits to make better business decisions. In accordance with Industrial Revolution 4.0, most SMEs have begun to implement an e-commerce business model, thus, customer data is generated at an exponential rate, allowing SMEs to further develop their services for greater user satisfaction. However, the abundance of unsorted and ambiguous data leads to issues such as server overload and inefficient customer sales cycle tracking. This paper will explain the application of data analytics techniques and architectures to overcome these issues in a fashion retail SME, as well as the benefits and drawbacks of these solutions.

Author Biographies

Santorini Surabani, School of Computing, Universiti Utara Malaysia, Malaysia

 

Bradlow Rodriguez, School of Computing, Universiti Utara Malaysia, Malaysia

 

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Published

14-01-2023

How to Cite

Surabani, S., & Rodriguez, B. (2023). Data Analytics Application in Fashion Retail SMEs (A Case Study in Caracas Fashion Store). International Journal of Information Technology and Computer Science Applications, 1(1), 35–43. https://doi.org/10.58776/ijitcsa.v1i1.17

Issue

Vol. 1 No. 1 (2023): January - April 2023

Section

New Submission

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Copyright (c) 2023 Santorini Surabani, Bradlow Rodriguez

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