Case Study: Fynd achieves near-real-time, 100% accurate analytics and saves 8 hours/day with Hevo Data

Fynd Powers Omnichannel Experience with Hevo

Fynd, India’s largest offline-to-online (O2O) omnichannel platform, struggled with slow daily data refreshes and high query times after relying on full data loads via BIME — a process that took about 8 hours and left business teams without the real-time, accurate data needed for alerts and rapid decisions. To address this, Fynd selected Hevo Data’s no-code data integration platform with incremental loading and change data capture to modernize its pipeline.

Hevo Data implemented fully automated pipelines into Google BigQuery in just two days, enabling incremental/real-time loads and removing the need for daily full reloads. The switch cut data load and query time by 8 hours per day, delivered 100% accurate, near real-time data to business teams, and reduced engineering dependence through Hevo Data’s no-code interface — improving decision speed and operational efficiency.

Fynd

Amit Jadhav

Data Specialist