Jumpstarting Numan's Data Stack

0

months To jumpstart end-to-end data pipeline.

0

Data models centralising and transforming 8 data sources.

"The 173 team helped expedite the modernisation of our data pipeline and extract value quickly."

Max Ratcliff, Director of Analytics and Data

Objective

Numan is a fast-growing eCommerce brand focusing on men’s health. It was sitting on a wealth of operational data waiting to be structured, transformed and provide valuable insights to the business at scale and PII-compliant.

Solution

We spent time with all teams to understand the business, growth goals and pain points. We aligned the data strategy accordingly and phased the redesign of a future-proof data stack to provide value early, ensuring PII compliance with hashing techniques automated within the data flow, and continuously expanded on it. We created a large set of data models tied to Numan’s business concepts, which enabled greater visibility of key performance metrics.

Teck Stack

GCP, SAYN,BigQuery,Looker & Cloudrun.

Delivery

Our work modernised Numan’s data stack and was a springboard for the team to find new efficiencies. We assisted in their search of a seasoned Director of Data and the onboarding of new data recruits. We continued to support the team on data infrastructure, engineering and strategy before successfully handing over the stack.

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