Designing and Implementing a Data Lake for Enhanced Omnichannel Retail Insights and Operations

Author(s)	Devender Yadav
Country	United States
Abstract	The retail landscape is transforming, influenced by the demand for a cohesive omnichannel experience. Traditional data silos often hinder a retailer's capacity to comprehend customer journeys and enhance operations across multiple touchpoints. This paper examines the design and implementation of a data lake as an effective solution for aggregating, analyzing, and activating data from various sources. The data lake serves as a unified source of truth, enabling retailers to analyze customer behavior, tailor interactions, enhance supply chains, and develop a more effective and profitable omnichannel strategy. It extends beyond a technical overview, incorporating reflections on practical challenges and the nuanced complexities encountered during this transformative project.
Keywords	Data Lake, Omnichannel Retail, Customer Insights, Data Integration, Big Data Analytics, Personalization, Supply Chain Optimization, Real-time Analytics, Cloud Computing, Data Governance.
Field	Engineering
Published In	Volume 3, Issue 2, February 2022
Published On	2022-02-02
DOI	https://doi.org/10.5281/zenodo.14838564
Short DOI	https://doi.org/g84g5t

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