Pondera gives analysts the ability to view comprehensive program data, matched against third party data sources, and run through a series of procedural and predictive models.
Request A DemoAnalysts use Pondera to evaluate program participant behavior. They review program data that is matched against third party data sources run through a series of procedural and predictive models to help detect previously known and unknown patterns, associations and anomalies. Analysts can quickly search for entities and view detailed profile data, analytics, and data visualizations to help find bad actors.
A comprehensive view of program participant’s eligibility information, alerts, behaviors, and transactions
Stack-ranked lists of all program providers and participants based on their risk for fraud
Configurable notifications when a transaction or action violates a predetermined threshold
Link charts connect program participants and display changes to the network over time
Social media footprint to analyze unusual behaviors and previously unknown relationships
Temporal analytics display transaction behaviors over time
Pondera’s cloud based integrated messaging system enables teams to share cases, files, and profiles within the dashboard and allows team members to create notes for profiles, alerts and cases
Powerful search capabilities to comb through program and public records data
Pondera uses prediction algorithms and machine learning to predict, detect, and investigate fraud, waste, and abuse in healthcare and government programs.
Program data and 3rd party data are ingested and run through procedural and prediction models to detect previously known and unknown bad actors, schemes, and patterns.
Fully-integrated investigative case management imports cases from the fraud detection module or other sources and uses workflow and rules engines to route cases through your resolution process.
Pondera analyzes the fitness of your data specifically for its use in fraud detection analytics. This includes completeness, referential integrity, usability, and stability to identify specific problems in client and third-party source data.
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Pondera supports the federal government’s efforts to identify individual cases of fraud or abuse as well as trends, patterns, and clusters that may indicate existing or emerging problems.
Detect and prevent fraud, waste, and abuse by identifying problem areas and patterns.
Analyze providers, eligibility, pharmacies, members, claims, and encounters for suspicious activities.
Validate identities, verify eligibility, and identify emerging fraud schemes.
Maximization and audit selection for unemployment insurance systems and state & local tax programs.
Our industry experts are happy to provide an in-person or web conference overview that is customized to your organization and your needs.
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