Case Study: Clearly achieves real-time analytics with Upsolver

A Upsolver Case Study

Preview of the Clearly Case Study

How Canada’s #1 Online Eyewear Store Drives Insights in Real Time

Clearly, Canada’s leading online eyewear retailer, needed a faster way to turn data from multiple systems into real-time insights for eCommerce operations, reporting, and machine learning. Its data team wanted a low-latency, low-maintenance, codeless cloud data platform that could support upserts and slowly changing dimensions on Amazon S3, while still being accessible through SQL.

Using Upsolver with Amazon S3, AWS Glue Data Catalog, and Amazon Athena, Clearly built a near real-time analytics pipeline that curates data for Amazon QuickSight, Microsoft Power BI, and Amazon SageMaker. The solution cut end-to-end latency to 15 minutes, saved an estimated six months of implementation time, went live with zero lines of code, and enabled the team to respond quickly to issues like outages and promotion anomalies.


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Clearly

Salman Hameed

Director of Data & Analytics


Upsolver

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