Pondera’s proprietary data health analytics and vulnerability assessment improves data quality, reduces false positives, and improves fraud detection and compliance.Request A Demo
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.
Pondera analyzes the shape and structure of data to determine its fitness for advanced analytics, how to effectively manage thresholds and identify significant outliers, and how to best visualize the data.
The DataResolver® Dashboard displays the fitness of your data for specific analytic models in Codebooks. The system alerts you and suggests fixes to problems with the source data files that may lead to inaccurate analytics and false positives.
Create notes, calls, tasks, etc. and add documents, images, and videos to cases.
Assess data fitness for analytics
Standardize data model for system
Review outputs to eliminate false positives
Discover outcomes of data quality analytics
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.
Our industry experts are happy to provide an in-person or web conference overview that is customized to your organization and your needs.