Integrating Eight Data Sources In 3 Months.
Objective
Kick start an analytics team, technology and processes.
Obstacle
Setting the foundation for a fast-scaling business.
Outcome
Three months to deliver a scalable data pipeline.
Background
Numan is a fast-growing eCommerce brand dedicated to men’s health. Despite having a wealth of operational data, the business lacked the infrastructure to structure, transform, and extract meaningful insights. With rapid growth and a need for scale, Numan required a future-proof data stack that ensured compliance with privacy regulations and delivered actionable insights.
Challenges
Unstructured Data: A large portion of the operational data required transformation to become meaningful for business use. This data, often in unstructured formats, needed to be aligned with key business concepts to drive insights and decision-making.
PII Compliance: Robust hashing techniques were implemented to safeguard sensitive data. This approach not only ensured compliance with privacy regulations but also built trust with users by demonstrating a strong commitment to their data security.
Scalability: As Numan continued its rapid growth, the scalability of its data infrastructure became a critical focus. The system needed to accommodate increasing data volumes and complexity while remaining efficient.
Solution
Understanding the Business:
Collaboration was central to our approach. We worked closely with teams across Numan to deeply understand their goals, challenges, and priorities. This ensured the data strategy addressed critical pain points and was tailored to drive measurable business outcomes.
Early Value Delivery: Our phased implementation focused on prioritising high-impact areas of analysis through self-serve dashboards, enabling quick wins for Numan. This approach demonstrated immediate benefits and built momentum for the broader data transformation initiative.
Team Enablement: To manage the new data infrastructure effectively, Numan required a skilled and empowered team. Hiring in conjunction with our work enabled us to find the right skillset to match the tools we put in place and meant Numan did not spend months setting up infrastructure and could instead focus on business impact.
The Proof Is In The Numbers...
8
30
12
Implementation
PII Compliance: To uphold user privacy and regulatory compliance, we embedded automated hashing techniques directly into the data flow. This ensured that sensitive user information was consistently protected while enabling secure data utilisation.
Modelled Data: We constructed robust data models linked to key business concepts. By integrating data from eight different sources, we transformed raw information into actionable insights, empowering Numan to make data-driven decisions with confidence.
