Harry’s, revolutionizing the market around men’s personal care and shaving products since launching in 2012, was one of the early industry adopters of the Direct to Consumer (DTC) business model. As their business expanded into the online retail and brick and mortar markets, the Harry’s analytics team found themselves relying on an increasing number of data feeds to deliver business-critical insights.  

While Harry’s already had robust data analytics pipelines, the analytics team needed to find a more accessible way to ingest new data feeds and quickly connect them to Looker. The head of analytics, Pooja Modi, and data analyst, William Knighting, spearheaded a new initiative to find a more powerful solution to expedite ingesting, transforming, and delivering data feeds to Looker in a manner that correlates brand information across functions. With these criteria in mind, the Harry’s data team found The Ascend Unified Data Engineering Platform.

In the video below, our very own Sheel Choksi sits down with William to learn about their journey from problem to empowerment, how Ascend.io helped Harry’s streamline their data orchestration, and what life has been like since operationalizing the Ascend platform.

Harry’s was able to move away from technology that places a heavy maintenance burden on the data engineering team. What used to take weeks to get new data sources connected to Looker, the data analytics team was able to turn around in minutes.

The value it unlocks is the stuff that couldn’t be done before. The iteration and speed at which the analysts can take on projects were impossible to do before.

William Knighting—Data Analyst, Harry’s

While speed is one benefit seen by the team at Harry’s, Pooja and William also cited others, including flexibility and the ease of use of the Ascend interface. Check out the case study to read the full story.