Contact us

Case studies

Automating claims data workflows at a fast-growing healthcare technology company

client stories Dagster DBT life sciences snowflake
Share

Built a unified, scalable Snowflake-based data platform to handle complex claims data.

Automated processing of ~6,000 arbitration emails per day with more than 99% success rates.

Increased dispute success rates, recovered millions in revenue, and cut onboarding time to two weeks.

Challenge

The client is a fast-growing healthcare technology company that had scaled operations to 15 states in just two years but lacked a unified, scalable data platform to process complex healthcare claims and keep pace with shifting regulatory frameworks efficiently. Their legacy SQL Server environment and fragmented workflows could not support the growing volume and complexity of claims data.

The business needed to process high-volume EDI transactions from dozens of healthcare customers, each with unique formats, payer networks, and business rules. Meanwhile, thousands of daily emails from arbitration entities contained critical dispute information embedded in unstructured text. Staff were manually reviewing and keying this data into systems, introducing delays and errors.

Revenue recovery workflows were also heavily manual. Matching arbitration awards to claims and payments required cross-referencing multiple data sources with inconsistent identifiers, putting millions of dollars in recoverable revenue at risk. The organization needed a modern data platform that could unify structured claims data and unstructured communications, automate validation and governance, and scale with rapid customer and geographic expansion.

Solution

Hakkoda partnered with the client to design and implement a modern data platform on Snowflake, creating the operational backbone for the company’s claims and dispute processing workflows. The platform unified structured healthcare EDI transactions with intelligence extracted from unstructured arbitration communications, transforming both into governed, queryable data within Snowflake. Automated ingestion pipelines were developed to process claims data from multiple customers, while Microsoft Graph API and intelligent parsing techniques extracted key information from thousands of daily emails.

Using dbt for transformation, Airbyte for replication, and Dagster for orchestration, Hakkoda built a production-grade data operations layer with automated validation rules, lineage tracking, and operational monitoring. A configurable validation framework applies customer-specific business rules to each claim record, allowing the company to onboard new healthcare clients without rebuilding pipelines.

The Snowflake platform also powers a sophisticated revenue recovery engine that programmatically matches claims, arbitration outcomes, invoices, and payments across the entire dispute lifecycle. This automation dramatically reduced manual reconciliation and improved revenue recovery outcomes.

A 10-person Hakkoda team now drives critical work streams across platform development, analytics, onboarding, testing, and validation. Downstream, this translates into faster insights, higher dispute success rates, and millions in recovered revenue. All while reducing customer onboarding times from several months to just two weeks.

The model

Technology used:

Snowflake

Dagster

dbt

Airbyte

Full time resources:

10 dedicated specialists

Case studies

Case Studies
Modernizing inspection tracking with a major transportation provider
Learn how a leading open deck transportation company replaced manual Excel tracking with a centralized, multi-user application to improve inspection...
Case Studies
Case Studies
Understanding client sentiment with a wealth management leader
Discover how Hakkoda helped a UK financial services leader unlock real-time client sentiment insights and power portfolio growth.
Case Studies
Case Studies
Building a modern data platform with a leading wealth management solutions provider
Discover how a wealth management technology provider built a modern, secure, self-serve data platform with real-time visibility and governance.
Case Studies