Case Study: a US-based retailer reduces data migration and reporting costs with Tiger Analytics and AWS

a us-based retailer reduces data migration and reporting costs with Tiger Analytics

A US-based retailer in fashion and home decor sought to modernize its data management, aiming to shift from outdated SAS systems. The company faced challenges including disjointed team collaboration, persistent data quality issues, and a lack of efficient data and ML pipelines, which hampered reporting capabilities. Tiger Analytics was engaged to address these problems.

Tiger Analytics implemented a solution using serverless components on AWS, with AWS Glue facilitating data migration and report standardization. They built essential pipelines for feature engineering, model training, and automated report generation, managing infrastructure with Terraform. This initiative refined the retailer's strategic and operational insights and led to measurable reductions in both cost and complexity for data migration and reporting.

US-Based Retailer