Case Study: Evite achieves faster reporting and improved data accuracy with Onix and BigQuery

A Onix Case Study

Preview of the Evite Case Study

Evite improves data accuracy by 5% with Onix

Evite, a leading digital invitation platform, faced challenges due to a fragmented data ecosystem split between AWS and GCP. This division created complexity, hindered efficiency, and limited their ability to leverage Google Cloud's data analytics capabilities. Their goal was to consolidate their data infrastructure on BigQuery for a unified approach to data management and reporting.

Onix successfully migrated Evite's data from AWS Redshift to Google BigQuery. The solution included designing an optimized architecture, converting code, setting up new data pipelines, and using their proprietary Pelican Data Validation Tool to ensure data integrity. The results included enhanced application performance for a better user experience, faster feature additions, a 5% improvement in data accuracy, and accelerated data loading. This provided Evite with a future-ready platform capable of leveraging ML and AI for advanced analytics.


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