Case Studies

Real-world results from our enterprise data and AI implementations.

Enterprise RAG System for Financial Services

Fortune 500 Financial InstitutionFinancial Services

Challenge

A leading financial institution needed to make decades of proprietary research and compliance documents searchable and accessible to analysts while maintaining strict data security and regulatory compliance.

Solution

Implemented a production-grade RAG system using Pinecone vector database integrated with their private LLM infrastructure. Built custom document processing pipelines using dbt and Airflow to chunk, embed, and index 500,000+ documents.

Results

  • 85% reduction in research time for analysts
  • 99.9% system uptime with enterprise-grade reliability
  • Full compliance with financial regulations (SOC 2, GDPR)
  • Processing 10,000+ queries daily with sub-second response times

Technologies Used

PineconeLangChaindbtAirflowAWS

Business Impact

$2M annual savings in analyst productivity

Modern Data Stack Migration for Gaming Company

Global Gaming PublisherGaming & Entertainment

Challenge

A gaming company with 100M+ active users struggled with legacy data infrastructure that couldn't scale. Their analytics team spent 70% of time on data quality issues rather than insights.

Solution

Architected and implemented a complete modern data stack migration from on-premise databases to Snowflake. Built 50+ dbt models for data transformation, integrated Airbyte for real-time data ingestion, and deployed Airflow for orchestration.

Results

  • 100GB+ daily data processing with 99.9% reliability
  • 60% reduction in data quality issues
  • 10x faster analytics query performance
  • Enabled self-service analytics for 50+ stakeholders

Technologies Used

SnowflakedbtAirbyteAirflowTableau

Business Impact

3x increase in data team productivity

Real-Time Analytics Platform for E-Commerce

Leading E-Commerce RetailerRetail & E-Commerce

Challenge

An e-commerce platform needed real-time visibility into customer behavior, inventory, and sales performance across 1,000+ stores to optimize pricing and inventory decisions.

Solution

Designed streaming data architecture using Databricks and BigQuery. Built real-time dashboards in Tableau that integrate data from 15+ source systems. Implemented machine learning models for demand forecasting.

Results

  • Real-time dashboards updating every 30 seconds
  • 25% improvement in inventory optimization
  • 15% increase in revenue through dynamic pricing
  • Executive visibility across all business metrics

Technologies Used

BigQueryDatabricksTableauApache Kafkadbt

Business Impact

$5M additional annual revenue

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