The Importance of Data Analytics in Modern Fashion Industry
DOI:
https://doi.org/10.55677/GJEFR/04-2024-Vol01E5Keywords:
Data analytics, Big Data analytic, modern fashion industryAbstract
The growth of the internet and the abundance of data it currently offers has caused one of the most significant developments in recent years. Fashion data scientists can now examine and benefit from a multitude of information because of the introduction of social media. These tips are invaluable for fashion campaign managers and designers. This paper examined the importance of data analytics in modern fashion industry. The paper collected secondary data from existing journals, articles, and companies’ blogs and websites. The overall result from this study indicates that data analytics have significant roles in modern fashion industry. For one thing, decision making in relation to customers’ needs and expectation, trend, quality, etc are based on data collected through different means. Thus, the fashion retail market is a quickly evolving field, with trends shifting within a few years. Intuition and gut feelings alone are not enough. In order to adapt to shifting consumer tastes and preferences, the fashion industry needs a data-driven, analytical approach.
References
Acharya, A., Singh, S. K., Pereira, V., & Singh, P. (2018). Big data, knowledge co-creation and decision making in fashion industry. International Journal of Information Management, 42, 90-101.
Achille, A., Marchessou, S., & Remy, N. (2018). Luxury in the age of digital Darwinism. McKinsey & Company. Retrieved from: https://www.mckinsey.com/industries/retail/ourinsights/luxury-in-the-age-of-digital-darwinism
Akter, S., Wamba, S. F., Gunasekaran, A., Dubey, R., & Childe, S. J. (2016). How to improve firm performance using big data analytics capability and business strategy alignment? International Journal of Production Economics, 182, 113–131.
Amatulli, C., Mileti, A., Speciale, V., & Guido, G. (2016). The Relationship between Fast Fashion and Luxury Brands: An Exploratory Study in the UK Market. In Global marketing strategies for the promotion of luxury goods (pp. 244-265). IGI Global.
Amatulli, C., Mileti, A., Speciale, V., & Guido, G. (2016). The Relationship between Fast Fashion and Luxury Brands: An Exploratory Study in the UK Market. In Global marketing strategies for the promotion of luxury goods (pp. 244-265). IGI Global.
Du, Y. (2019). Data Analytics and Applications in the Fashion Industry: Six Innovative Cases. Major Papers by TMD Master of Science Students. Paper 8. https://digitalcommons.uri.edu/tmd_major_papers/8
Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep learning. MIT press
Jain, S et al 2017 IOP Conf. Ser.: Mater. Sci. Eng. 254 152005
Jelil, R. A. (2018). Review of Artificial Intelligence Applications in Garment Manufacturing. In Artificial Intelligence for Fashion Industry in the Big Data Era (pp. 97-123). Springer, Singapore
Jitender, K. & Simran, S. (2021). BIG DATA IN FASHION INDUSTRY. Rajasthali Journal, 1(3).
Kauffman, R. J., Srivastava, J., & Vayghan, J. (2012). Business and data analytics: New innovations for the management of e-commerce. Electronic Commerce Research and Applications, 11(2), 85–88.
Keunyoung O. (2020). The roles of data analytics in the fashion industry. J Textile Eng Fashion Technol. 2020;6(3):102-104. DOI: 10.15406/jteft.2020.06.00237
Kovacevic, A. (2018), “Big fashion meets big data: how fashion industry is benefiting from big data”, available at: www.smartdatacollective.com/big-fashionmeets-bigdata-how-industry-benefiting/.
Lake, K. (2018). Stitch Fix’s CEO on selling personal style to the mass market. Harvard Business Review. Retrieved from https://hbr.org/2018/05/stitch-fixs-ceo-on-sellingpersonal-style-to-the-mass-market
Li Zhao 2021 Proceedings Virtual Conference Understanding the Paradigm Shift to Fashion Big Data Analytics University of Missouri
Liu, X., Iftikhar, N., & Xie, X. (2014). Survey of real-time processing systems for big data. In Proceedings of the 18th International Database Engineering & Applications Symposium (pp. 356-361). ACM
Louridas, P., & Ebert, C. (2016). Machine learning. IEEE Software, 33(5), 110–115.
Marr, B. (2016). Big data in practice: How 45 successful companies used big data analytics to deliver extraordinary results. West Sussex, UK: John Wiley & Sons
Porter, L., & Gogan, J. L. (2013). Before racing up Big Data mountain, look around. Financial Executive, 29(5), 59–62
Ren, S., Hui, C. L. P., & Choi, T. M. J. (2018). AI-Based Fashion Sales Forecasting Methods in Big Data Era. In Artificial Intelligence for Fashion Industry in the Big Data Era (pp. 9- 26). Springer, Singapore.
Sandrine, D., Holger, H., Nicholas L., and and Carlos S. (2021) Jumpstarting value creation with data and analytics in fashion and luxury
Silva, E., Hassani, H. and Madsen, D. (2019). Big Data in fashion: transforming the retail sector. Journal of Business Strategy. https://doi.org/10.1108/JBS-04-2019-0062
Sun, P. (2021). Neo-Fashion: A Data-Driven Fashion Trend Forecasting System Using Catwalk Analysis. Clothing and Textiles Research Journal, 0887302X211004299.
Sze, V., Chen, Y. H., Yang, T. J., & Emer, J. S. (2017). Efficient processing of deep neural networks: A tutorial and survey. Proceedings of the IEEE, 105(12), 2295-2329
Tan, K. H., Zhan, Y., Ji, G., Ye, F., & Chang, C. (2015). Harvesting big data to enhance supply chain innovation capabilities: An analytic infrastructure based on deduction graph. International Journal of Production Economics, 165, 223–233.
Thomassey, S., & Zeng, X.Y. (2018). Introduction: Artificial Intelligence for Fashion Industry in the Big Data Era. In S. Thomassey & X. Y. Zeng (Eds.), Artificial intelligence for fashion industry in the big data era (pp. 1–6). Singapore: Springer.
Xue, Z., Zeng, X., & Koehl, L. (2018). Artificial Intelligence Applied to Multisensory Studies of Textile Products. In Artificial Intelligence for Fashion Industry in the Big Data Era (pp.211-244). Springer, Singapore.
Zhao, L., & Kim, K. (2021). Responding to the COVID-19 Pandemic: Practices and Strategies of the Global Clothing and Textile Value Chain. Clothing and Textiles Research Journal, 39(2), 157-172.
Zhao, L., & Min, C. (2019). The rise of fashion informatics: A case of data-mining-based social network analysis in fashion. Clothing and Textiles Research Journal, 37(2), 87-102.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Global Journal of Economic and Finance Research
This work is licensed under a Creative Commons Attribution 4.0 International License.