Data Availability
DNP has access to several datasets to conduct in-depth data analysis. See a list of data sources on pages 6-7 of the Analytics Implementation Guide.
Analyze payment data for indicators that a payment is being made in error or is vulnerable to abuse
Develop risk scoring to help agencies prioritize and manage reviewing and investigating cross-matches
Screen payees for eligibility such as identifying deceased beneficiaries
A few of the analytics products we offer:
Verification of Payee Eligibility
- Matching payee data to eligibility data sources
Data Quality Checks
- Techniques that identify hard-to-detect payment errors and fraud risk in payments, invoices, or vendors
Preventative Controls Development
- Demonstrate if internal controls are effectively preventing improper payments
Custom Research & Ad-hoc Analysis
- Provide insight into specific research questions
- Assist with ad-hoc needs (i.e. cross-government overlap)
Sample Analysis Techniques
Analytics uses many different techniques to identify a program’s improper payments, such as conducting trend analysis, developing predictive models, and identifying overlapping payments.
- Helping prioritize resources using risk scoring
- Conducting pattern and trend analysis on payment data
- Matching payment data to a death source using advanced and fuzzy matching techniques
- Detecting anomalies such as same unique identifier (e.g., TIN, SSN, EIN, DUNs) and different names
- Detecting duplicates (e.g., same payee, same agency, same amount, same date)
- Identifying data quality issues such as missing or illegitimate TINs
- Identifying fraud risk such as inconsistent payee information or improper overlap of benefit collection
- Performing other analysis at the request of the agency
- Circos Graph - Ability to turn tables into images