Data and Intelligence at Scale
Explore Project
Pipelines, Automation, AI
Core Capacities
Data & AI Modernization
Project Focus
Millions of daily transactions
Scale of Impact
2025
Year
Overview
1
The eCommerce platform relied on its production database for both customer operations and analytics, which slowed performance and capped scalability. The brand management company was burdened by human-intensive processes to monitor and respond to online activity across thousands of accounts. Both faced the same barrier: scaling efficiently without compromising reliability.
2
Sierra designed solutions tailored to each business but built on shared principles: streaming, automation, and intelligence. For the eCommerce platform, we built a decoupled data pipeline using change data capture and Kafka, feeding into a dedicated analytics environment on Databricks. For the brand management company, we deployed AI-driven automation to classify and triage online activity in real time, freeing teams to focus on higher-value work.
3
• Built a real-time data pipeline for analytics at scale • Deployed automation to reduce manual workload • Integrated AI models for classification and decisioning • Created clean, reliable data layers for business use • Improved scalability without adding system strain
4
The eCommerce platform gained a robust analytics foundation, enabling real-time insights without slowing production systems. The brand management company achieved faster response times, reduced manual effort, and increased coverage across clients. Both businesses turned data into a competitive advantage, unlocking scale while keeping teams lean.
