Data engineering at e-commerce scale

Context

A high-volume e-commerce business needed faster analytics at lower cost.

Challenge

Data pipelines were slow and costly to run.

What we deployed

Re-engineered data pipelines and infrastructure.

Typical architecture

1. STEP 01

   Source systems streamed

   →
2. STEP 02

   Pipelines optimised

   →
3. STEP 03

   Analytics layer refreshed faster

Illustrative of how this solution is typically structured and governed; deployment specifics are available under NDA.

Results

• 60% faster data processingCompany-stated
• −35% infrastructure costCompany-stated

NoteResults from deployments by GoGenesis and its platform partners. Outcomes vary by portfolio and operating environment; your results are set in the pilot.

Governance approach

• Cost and performance reported monthly

Illustrative of how this solution is typically structured and governed; deployment specifics are available under NDA.