Case Studies
Real-world examples of how we've helped organizations transform their data operations and achieve measurable business results.
Real-Time Data Pipeline for E-Commerce Giant
Fortune 500 Retail Company
Technologies
1The Challenge
The client struggled with delayed inventory updates across 2,000+ stores, leading to stockouts and overstock situations. Legacy batch processing couldn't keep up with real-time demands.
2Our Solution
Implemented a real-time streaming architecture using Apache Kafka and AWS Kinesis, processing 50M+ events daily. Built a modern data lakehouse on Snowflake with automated ETL pipelines using Apache Spark and Airflow.
3Measurable Results
95% reduction in inventory sync time (from 24 hours to <2 minutes)
$50M annual savings from optimized inventory management
99.9% pipeline uptime with automated monitoring
Processing 5TB of data daily with sub-second latency
Predictive Analytics Platform for Healthcare Provider
Leading Healthcare Network
Technologies
1The Challenge
Patient readmission rates were above industry average, costing millions in penalties. The organization lacked predictive capabilities to identify at-risk patients and intervene proactively.
2Our Solution
Developed a comprehensive predictive analytics platform using machine learning to identify high-risk patients. Built interactive dashboards in Power BI, integrated with EHR systems for real-time risk scoring.
3Measurable Results
32% reduction in 30-day readmission rates
$15M in avoided penalties and improved patient outcomes
85% accuracy in predicting high-risk patients
Enabled proactive interventions for 10,000+ patients annually
Custom LLM for Financial Services Document Processing
Mid-Market Financial Institution
Technologies
1The Challenge
Manual processing of loan applications and financial documents took 5-7 days per application, creating bottlenecks and poor customer experience. Complex regulatory requirements made automation challenging.
2Our Solution
Fine-tuned a custom LLM for financial document understanding and built a RAG (Retrieval-Augmented Generation) system. Implemented MLOps pipeline with automated model monitoring and retraining using MLflow and Kubernetes.
3Measurable Results
10x faster document processing (from 7 days to <1 day)
94% accuracy in document classification and extraction
$3M annual cost savings from automation
60% improvement in customer satisfaction scores
Cloud Data Migration & Modernization
Manufacturing Enterprise
Technologies
1The Challenge
Legacy on-premise data warehouse was costly to maintain, lacked scalability, and couldn't support modern analytics workloads. Migration complexity and data governance concerns prevented cloud adoption.
2Our Solution
Executed phased migration to Google Cloud Platform with BigQuery as the central data warehouse. Implemented comprehensive data governance framework, automated data quality checks, and role-based access controls.
3Measurable Results
60% reduction in data infrastructure costs
Query performance improved by 15x
Enabled self-service analytics for 500+ business users
Achieved SOC 2 compliance with enhanced security controls
Customer 360 Analytics Platform
Multi-Brand Consumer Goods Company
Technologies
1The Challenge
Customer data was siloed across 15+ systems (CRM, e-commerce, POS, marketing), preventing unified view of customer journey and limiting personalization capabilities.
2Our Solution
Built unified Customer 360 platform consolidating data from all touchpoints. Created advanced segmentation models and predictive customer lifetime value (CLV) analytics. Deployed real-time dashboards in Tableau.
3Measurable Results
45% increase in marketing campaign ROI
28% improvement in customer retention
Unified profiles for 25M+ customers
Real-time personalization driving 20% conversion increase
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