Case Study: Harry’s achieves 10X faster time-to-analysis and rapid retail data ingestion into Looker with Ascend.io

How Harry’s uses Ascend.io to rapidly ingest and transform new, varied data sources for analysis in minutes - not weeks

Harry’s, a direct-to-consumer leader expanding into brick-and-mortar retail, faced an explosion of disparate retail and product data that took weeks to ingest, transform, and surface in Looker. To speed analytics and reduce dependence on a heavily burdened engineering team, Harry’s implemented Ascend.io’s unified data engineering/data orchestration platform and low‑code sandbox to connect across their data ecosystem and deliver omnichannel insights.

Ascend.io enabled Harry’s to ingest, transform, and pipe new retail feeds into Looker in minutes rather than weeks—achieving a reported 10X speed increase and delivering their first retail data in Looker within a week. The platform’s flexible UI shortened analyst ramp time, let teams iterate faster on models and pipelines, and significantly accelerated time-to-insight so business stakeholders get actionable answers far more quickly.

Harry’s

Pooja Modi

Head of Analytics