“Consumer data will be the biggest differentiator in the next two to three years. Whoever unlocks the reams of data and uses it strategically will win.” - Above quote by Senior Vice President at Apple and former CEO at Burberry Angela Ahrendts, a leading figure in the retail and merchandising management, highlights the importance of data science and analytics in the retail industry. With every single click, data is growing at lightning pace. It is slated to become the most valuable commodity in the forthcoming century and organizations are expected to dive in and exploit data to thrive in today’s cutthroat business environment. Under this project, we intend to understand the various tools and methods used to analyze and understand customer preferences by the retail industry. It starts with data collection, data ingestion along with validation.
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Identify the scope, applications and methods used for Customer preference analysis in retail industry using Data Analytical methods
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