Case Study: PayU achieves 97% faster reporting availability with Lore IO

PayU accelerates reporting availability by 97% using Lore IO

PayU, a leading global financial services provider, needed a faster and more accurate way to produce gross margin reporting across 17 markets. With data coming from six disparate sources and complex rate calculations handled manually in Excel, its finance team spent 20 hours each month standardizing data and often had to wait until month-end for reliable financial insights.

PayU selected Lore IO to create a virtual data layer for its finance data marts, eliminating ETL and automating data ingestion, standardization, and query-time gross margin calculations. With Lore IO, PayU cut data preparation costs by 90%, reduced data latency by 97% so data was available daily instead of monthly, and eliminated manual entry errors, enabling faster and more trustworthy decision-making.

PayU

Prashanth Susarla

CTO