Helping Leading Dental Insurance Provider Cut Costs and Improve Data Integrity

challenge

Conflicting Information

One of the leading dental insurance providers in the country was struggling with data integrity. Each client they worked with, whether it was a large insurance provider or a local dentist’s office, would send them large amounts of patient information. All of this data had conflicting formatting, which slowed the claims process down, putting the client at risk of government-imposed fines, and made it harder for them to process claims correctly, resulting in over and under payments.

solution

Ensuring Data Integrity

This client receives both a steady stream of data every day, as well as a large influx during open enrollment. In order to help them operate more efficiently, we split our colleagues into two separate teams to help this client manage their data, and provide extra support leading up to the launch of their proprietary solution: Tritium and Elevate. Tritium handled all of the member enrollment and data migration tasks. These colleagues would implement BizTalk policies to automatically allow client files to process correctly each time an anomaly would appear. Elevate acted as triage, handling any help desk tickets and data clean-up. Both teams used extremely detailed SQL queries to manage and update millions of rows of data at a time, ensuring complete data integrity.

results

Additional Capacity and Efficiency

The Tritium team handled 357 complex ticket inquiries in the first year, and that number has increased 10-15% each year since, providing much-needed efficiency to help the client avoid government-imposed fines. The Elevate team’s ad hoc scripts were incorporated in a tool that allowed the client to complete redundant tasks on their own, which in turn helped the client operate so efficiently that they eliminated the need for one FTE on this project.

Case Study

Apr 8, 2025

Enhanced Insights and Data-Driven Decision Making for Center Street Lending

Center Street Lending provides smarter loans for residential real estate investors in 42 states. Their internal teams relied on visualizations to make data-driven decisions within their loan programs, but their data sources were fragmented and not automated. Learn how we helped establish a single source of truth for streamlined communication between stakeholders and teams, while improving the accuracy and accessibility of key organizational metrics and KPIs.

Case Study

Apr 1, 2025

AI-Powered Predictions Drive Efficiency for Transportation & Logistics Company

For a global transportation & logistics client, predicting pickup volumes for their highest-tier and most urgent next day air delivery service was a challenge due to fluctuations in customer demand. Without precise predictions, planners would either over-allocate or under-allocate resources, negatively impacting our client’s efficiency and their customers’ satisfaction. They partnered with us to find a more reliable way to assist their route planners in optimizing daily dispatch schedules.

Case Study

Mar 27, 2025

Scalable Data Overhaul for Supply Chain Sustainability Company

The existing tech stack for a leader in sustainable supply chain and manufacturing intelligence lacked usability and accessibility, making it harder to provide comprehensive product insights for customers in the hospitality industry. Learn how we created an AI-ready data solution that could scale efficiently while minimizing manual processes.

Case Study

Mar 26, 2025

Using AI to Solve a Stadium’s Biggest Entry Headache

A major American stadium had been struggling with serious bag check bottlenecks after the introduction of new security policies. Our client needed to find a new way to screen bags that was efficient, consistent, and preserved the positive experience fans expect. Learn how we used AI to solve this challenge.

See All Case Studies

Helping Leading Dental Insurance Provider Cut Costs and Improve Data Integrity

Conflicting Information

Sparq IT Blog Cookies Policy