CASE STUDY August 2, 2023

Reducing the cost and complexity of data migration and reporting

Background

A prominent retailer in fashion and home decor sought to enhance their data management. The company aimed to shift from outdated SAS systems to a contemporary AWS setup. They faced hurdles like disjointed team collaboration, persistent data quality issues, and the lack of efficient data and machine learning pipelines, affecting their reporting capabilities

Impact

We crafted essential pipelines for the retailer, focusing on feature engineering, model training, and automated report generation. Utilizing serverless components and Terraform for infrastructure management, the initiative refined strategic and operational insights. AWS Glue facilitated the data migration and report standardization, leading to cost and complexity reductions.

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