Case Studies

Real results, real clients

See how we've partnered with companies across industries to build data systems that deliver measurable results.

01Financial Services

Rebuilding a bank's data warehouse on the cloud

The Challenge

A mid-size bank was running regulatory reports on a legacy on-premise data warehouse. Reports took 4+ hours to generate, the system couldn't handle growing data volumes, and the team spent more time maintaining infrastructure than delivering insights.

What We Did

We migrated their data warehouse to a cloud lakehouse architecture on Snowflake, rebuilt 120+ critical pipelines using dbt and Apache Airflow, and set up automated data quality checks at every stage. The new platform runs on infrastructure-as-code with full CI/CD.

Results

60% reduction in report generation time
120+ pipelines migrated with zero data loss
3x faster onboarding for new data sources
Full audit trail for regulatory compliance
Platform DesignData Operations
02Healthcare

Matching 12M patient records across 6 hospital systems

The Challenge

A healthcare network had patient records scattered across 6 different hospital information systems. Duplicate records caused billing errors, incomplete medical histories, and compliance risks. Previous deduplication attempts using simple rules missed too many matches.

What We Did

We deployed our Entity Resolution engine with custom match rules designed for medical data, including fuzzy matching on names, birth dates, and addresses. The system handles both batch processing for the initial cleanup and real-time matching for new admissions.

Results

98.5% match accuracy with zero false merges
2.1M duplicate records identified and merged
Real-time matching for new patient admissions
Full match audit trail for compliance review
Data ProductsData Operations
03Logistics

Real-time tracking pipeline for 50K daily shipments

The Challenge

A logistics company processed 50,000+ shipments daily but their tracking data lagged 4 hours behind reality. Customer service couldn't answer "where is my package?" accurately, and operations teams made routing decisions based on stale data.

What We Did

We built a streaming pipeline on Apache Kafka and Spark that processes GPS pings, barcode scans, and delivery confirmations in real time. Events flow into a cloud data warehouse for analytics and into an operational dashboard for the logistics team.

Results

Data delay reduced from 4 hours to under 30 seconds
35% reduction in customer service escalations
Real-time operational dashboard for 200+ dispatchers
Automated anomaly detection for delayed shipments
Data OperationsPlatform Design
04Retail

Building a customer 360 for a retail chain with 200 stores

The Challenge

A retail chain with 200+ stores had customer data in their POS system, e-commerce platform, loyalty program, and marketing tools. They couldn't tell if an in-store customer was the same person as an online buyer, which made personalization impossible.

What We Did

We built a unified customer data platform that ingests from all four sources, runs entity resolution to create golden customer profiles, and syncs the unified view back to their marketing and analytics tools. The pipeline runs on a nightly batch with near-real-time updates for high-value events.

Results

Single customer view across all 200+ stores and online
40% improvement in marketing campaign targeting
Loyalty program participation increased by 25%
Data available for analytics within 15 minutes of transaction
Platform DesignData ProductsData Operations
05Government

Address standardization for a national ID system

The Challenge

A government agency was rolling out a national ID system and needed to clean up 30M+ citizen address records. Addresses were entered in free-text format with inconsistent spellings, missing barangay codes, and outdated municipality names.

What We Did

We deployed our Address Cleanup Service with custom Philippine geographic validation. The batch processor standardized addresses against the official PSGC (Philippine Standard Geographic Code) database, filling in missing region/province/city/barangay hierarchies.

Results

92% of addresses successfully standardized
30M+ records processed in under 48 hours
Geocoding accuracy improved from 45% to 89%
System now used for ongoing address validation at registration
Data Products
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