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Software Engineering Approach for Designing Apparel Business Data Analytics
Abstract
Apparel products are essential for any society, and its business operations are extensively competitive. The ability to optimize serving business processes while satisfying customer expectations has never been more critical than in today's globalized business world. Therefore, managing and channeling business operational data to work towards customer delight and generate healthy profits is essential to survive prosperously. Practitioners are highlighting the benefits of retail data analytics that are now being applied at every stage of the business process - tracking emerging popular products, forecasting sales, and future demand through predictive intelligence by using intelligent techniques. The chapter focuses on big data analytics software systems, their testing, and quality assurance-related issues in Hadoop, an open-source framework. It discusses challenges concerning massively parallel data generation from multiple sources, data characterization, software application quality factors, and some software testing mechanisms.
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