CUSTOMER STORY
Region: North America
Industry: Healthcare
Department: Data Analytics
Company Background:
UnitedHealth Group is a leading global healthcare company serving millions of members through data-driven services and care delivery. Operating at massive scale, the organization manages complex claims, payment systems, and patient data across a highly regulated environment. Its analytics teams play a critical role in improving patient outcomes, ensuring accurate payments, and identifying risks across the healthcare ecosystem.
At UnitedHealth Group, data is mission critical. Every claim, record, and signal contributes to a larger goal: improving patient outcomes while keeping healthcare fair, accurate, and accessible.
But as the organization grew, so did data complexity. Data sprawled across disparate systems, teams worked in silos, and too much critical work depended on manual processes.
Alteryx changed that trajectory. What started as a grassroots effort quickly evolved into an enterprise-wide transformation that empowered teams to move faster, think bigger, and deliver impact at scale.
Data at UnitedHealth Group lives in an array of systems — Snowflake, Databricks, SQL Server, Oracle, and more — making it difficult to unify insights. “I don’t think there is a major database system that we do not use in this company,” explained Deatra Slivinsky, Director of Data Analytics and Reporting.
There was also organizational fragmentation. Analytics had grown organically across the company, with individual teams in different divisions developing their own Alteryx environments. There was no common way to support users, and simple requests became time-consuming tasks as analysts were fielding daily ad hoc queries.
The result was hours lost to repetitive work, delayed insights, and missed opportunities to act on critical healthcare data.
To address these challenges, UnitedHealth Group consolidated its Alteryx usage into a centralized, enterprise-wide platform — bringing structure, governance, and scalability to analytics.
Angela Ainslie stepped into a pivotal role of managing the platform. “When I started, we had 5 different departments that had 5 different servers for Alteryx,” said Ainslie. In her role as Software Engineer, Ainslie oversees both Alteryx and Tableau as product owner and helps unify previously disconnected teams.
The technology fit the work because it met analysts where they were.
With Alteryx, teams can now:
One standout innovation is an interactive analytical app that replaces repetitive query requests. An analyst answering two to three ad hoc data queries per day built a self-service app that allowed internal stakeholders to select their own fields, filters, and time frames and receive results directly via email.
This eliminated bottlenecks and empowered non-technical users to access insights on demand— without compromising data integrity or security.
Alteryx also supported more advanced healthcare analytics use cases, including claims processing, risk analytics, and fraud, waste, and abuse detection. Teams could look for trends, outliers, anomalies, and coding patterns, then route insights to the right groups for action.
The impact was immediate and measurable. Slivinsky estimates that Alteryx reduces analytic cycle times by about 95%.
Across the organization, teams achieved faster analytics cycles, improved data accuracy, and scalable collaboration.
With faster, more reliable insights, teams can act earlier — whether identifying fraud, improving payment accuracy, or guiding patient care. “We’re helping providers and the payers understand where their members are at and how we can best serve them,” Slivinsky said.
In fraud detection, Alteryx helps surface anomalies and trends that would otherwise go unnoticed, enabling faster intervention and cost control.
Another team scaled from reporting on six products to 50 without increasing team size. “We have drastically scaled up the size of what we are responsible for without actually adding to our resources,” said Slivinsky.
The centralized governance model also directly supports compliance. Healthcare reporting is subject to regulatory timelines, and appeals must be responded to within mandated windows. Structured, automated workflows running on schedule keep UnitedHealth Group within those boundaries.
With a strong analytics foundation in place, UnitedHealth Group is looking ahead toward AI-driven innovation and broader adoption.
For Slivinsky, the appeal of Alteryx’s AI integration is straightforward: it allows her team to move into AI using a tool they already understand and trust. “What I like best about it is it’s integrating AI in a way that’s comfortable to us because we’re already using Alteryx, but it’s letting us take it to that next level,” she said.
At the same time, adoption continues to grow across departments, with more teams recognizing the value of centralized, self-service analytics.
What started as a grassroots movement has become a scalable, enterprise-wide capability —positioning UnitedHealth Group to innovate faster and deliver even greater impact.
Alteryx automated data integration across Snowflake, Databricks, Azure, Oracle, and SQL Server for business analysts, cutting cycle times by 95% and reducing four-hour processes to under five seconds. That speed advantage now serves as the foundation for AI integration, allowing teams to layer advanced capabilities onto workflows they already trust.
The 13-person reporting team that once spent a month running reports for 6 product lines now owns 50 — an 8x scope expansion with no headcount increase. Alteryx automated the underlying workflows, turning a capacity constraint into a scalable enterprise capability that absorbs new clients without proportional cost increases.
Alteryx brought AI-assisted detection to claims data, enabling analytics teams to surface anomalies, coding irregularities, and outlier trends. Teams now route fraud signals to the appropriate intervention group before a payment cycle closes, compressing the detection-to-action window across a portfolio where timing directly determines recovery.
Region: North America
Industry: Healthcare
Department: Data Analytics
Company Background:
UnitedHealth Group is a leading global healthcare company serving millions of members through data-driven services and care delivery. Operating at massive scale, the organization manages complex claims, payment systems, and patient data across a highly regulated environment. Its analytics teams play a critical role in improving patient outcomes, ensuring accurate payments, and identifying risks across the healthcare ecosystem.