Case Study: PAR Punchh achieves 90x faster analytics and 50% cost reduction with Databricks

Building omnichannel loyalty and engagement for retailers

Punchh, now part of PAR Technology Corporation, provides omnichannel loyalty and engagement solutions for retailers but faced rapid data growth that outstripped their AWS MySQL setup. Siloed data, slow ETL and reporting, inconsistent ML workflows, and high costs made it difficult for analytics teams to deliver timely insights and support business decisions.

By adopting the Databricks Lakehouse Platform on AWS with Delta Lake, Punchh centralized storage and compute, built fast, collaborative ETL pipelines and enabled SQL-native analytics and notebooks for all teams. The results: 90x faster processing on key dashboards, 50% lower per-request costs through pre-aggregation, reports that load in seconds, 10x faster time-to-insight, 30% lower operational costs and a 12% increase in customer satisfaction (NPS), improving retention and SLAs.

PAR Punchh

Jagan Mangalampalli

Director of Big Data