Do Not Pay Day

A Virtual Guide to the First Steps

in Preventing Improper Payments

Do Not Pay Business Center

08/25/2020
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• The Payment Integrity Information Act of 2019 

repealed the following legislation related to 

improper payments :

– Fraud Reduction and Data Analytics Act of 2015 (FRDAA)

– Improper Payments Elimination and Recovery 

improvement Act of 2012 (IPERIA)

– Improper Payments Elimination and Recovery Act of 2010 

(IPERA)

– Improper Payments Information Act of 2002 (IPIA) 

Do Not Pay Authorities
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• PIIA stipulates:

§3354. Do Not Pay Initiative

‘‘(a) PREPAYMENT AND PREAWARD PROCEDURES.

(1) IN GENERAL.—Each executive agency shall 

review prepayment and pre-award procedures and 

ensure that a thorough review of available databases 

with relevant information on eligibility occurs to 

determine program or award eligibility and prevent 

improper payments before the release of any Federal 

funds.”

Do Not Pay Authorities
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• PIIA clarifies access for Other Entities in ¶ (C):

“Each State and any contractor, subcontractor, or 

agent of a State, including a State auditor or State 

program responsible for reducing improper payments 

of a federally funded State-administered program, and 

the judicial and legislative branches of the United 

States, as defined in paragraphs (2) and (3), 

respectively, of section 202(e) of title 18, shall have 

access to, and use of, the Do Not Pay Initiative for the 

purpose of verifying payment or award eligibility for 

payments.”

Do Not Pay Authorities
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Office of Management 

and Budget (OMB)

Owner

Department of the Treasury 

(Bureau of the Fiscal Service)

Working System

Business Center

 OMB 

designates 

databases for 

use in DNP 

 OMB 

determines 

state access

Do Not Pay Authorities

 OMB issues 

guidance for the 

DNP program 

but retains 

program 

authority 
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What is the DNP Business Center?

• A resource for federal agencies 

and federally funded state 

administered programs at nocost to the agencies 

• Centralized access to relevant 

data sources for verifying 

payment or award eligibility

• Customized data analysis to help 

agencies detect fraud, waste, and 

abuse and strengthen internal 

controls 
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DNP Business Center Components

DNP Business 

Center
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Pre-award

Before you start to pay, search DNP to make sure 

it’s okay to pay this person or company.

Pre-payment

Check again throughout the time this person or 

company is getting payments or set up to monitor 

their eligibility. You can also research matches.

At Time of Payment (Payment Integration)

Agency payments submitted to Treasury via the 

PAM file are automatically matched against 

available death data sources through Payment 

Integration.

Post-payment

Use Data Analytics to get reports and see trends. 

Use the reports to fix any problems and improve 

your service.

DNP and the Payment Life Cycle
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Pre-Award / Pre-Payment Support

Free web-based Portal and central location 

for improper payment related data needs

Online Search

User can search an individual or entity and view matching records 

Batch Matching

One-time bulk submission for screening grants or loan payments 

against specified data sources

Continuous Monitoring

Continuous screening for eligibility verification against specified data 

sources using a grantee or loan recipient listing

Web Service/API

A Web Service or Application Programming Interface (API) creates a 

connection with agency payment systems and the DNP Portal. This 

integrates the functionalities of the Portal within agency internal 

systems.
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The DNP Initiative 

American InfoSource Death Data - Commercial

• Commercial data source which contains information on deceased individuals obtained from more than 

3,000 funeral homes and thousands of newspapers, as well as county-level probate records

Department of Defense Death Records - Public

• Contains records of individuals in active or reserve military duty, including whether an individual is 

deceased

Department of State Death Records - Public

• Contains records of American Citizens who are deceased or presumed deceased in foreign countries, as 

reported by U.S. embassies or consulates upon its receipt of a foreign death certificate or finding of 

death by a local competent authority

Death Master File (DMF) - Public (SSA) 

• Administered by the National Technical Information Services (NTIS). Contains records of deceased 

individuals as reported by family members, funeral homes, hospitals, federal agencies, postal 

authorities, and financial institutions. Public version does not include state-reported deaths

Credit Alert System (CAIVRS) - Restricted (DOJ, HUD, SBA, USDA, & VA)

• Contains records of individuals with federal debt in delinquent or default.

• Verify whether an individual is a delinquent federal borrower 
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Treasury Offset Program (TOP) Debt Check - Restricted (Treasury)

• Contains records of individuals whose debt has been referred to Debt Management Services for 

collection.

• Verify whether a payee owes delinquent non-tax debts to federal government (and participating states)

List of Excluded Individuals and Entities (LEIE) (HHS) – Public & Restricted

• Verify whether payments are to individuals and entities currently excluded from participating in federal 

health care programs

Office of Foreign Assets Control (OFAC) - Public (Treasury)

• Contains records of individuals, groups, and entities which are under sanction by the federal government 

and therefore ineligible for payment

System for Award Management (SAM) Entity Registration Records - Restricted (GSA)

• Contains records of individuals and businesses authorized to enter into contracts with the federal 

government

• Verify whether payments are to debarred individuals

SAM Exclusion Records – Public & Restricted - (GSA)

• Contains records of individuals and businesses currently debarred from entering into contracts with the 

Federal Government under specific exclusions or registered to conduct business with the federal 

government

• Verify that a vendor seeking to do business with the federal government has registered, in accordance 

with the Federal Acquisition Regulation (FAR)

The DNP Initiative (cont.)
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 Indicates data sources that may require a Computer Matching Agreement (CMA)

*All data sources are available in API

DNP Data Sources*

Payment Type DNP Usage AIS DMF DOD DOS CAIVRS LEIE OFAC SAM Entity SAM Exclusion TOP Debt 

Check

Grant and/or 

Loan Payments

Online Search          

Continuous

Monitoring         

Batch Matching         

Beneficiary 

Payments

Online Search        

Continuous

Monitoring      

Batch Matching      

Vendor and/or 

Contractor 

Payments

Online Search          

Continuous

Monitoring         

Batch Matching         

DNP Data Source Recommendations 
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First Contact - Agency Consultation

Outreach Actions Agency Benefits

Understand the challenges present in payment 

processes. Identify opportunities to strengthen 

internal controls to prevent 

potential improper payments.

Educate about available services and 

resources for agency use. Understand how DNP services 

can address many 

improper payment challenges.

Facilitate discussions to identify solutions 

to business problems. Implement DNP to improve

eligibility verification at pre-award/

pre-payment phase of payment lifecycle. 
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DNP Overview 

Scheduled

Submit Initial 

Questions Document 

for Review and 

Approval by Fiscal 

Service Legal

Build Hierarchy and 

Access Groups

Identify Users 

and User Levels

Enroll in Portal and 

Attend Training

DNP Onboarding Process
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• Provides customized Outreach and Business Process 

solutions based upon agency needs:

– Onboarding to DNP Pay Portal

– Training 

– Business Process Mapping

– Focus Groups

– User Community Events

• Best Practices Forum

• Grants Management Forum

• Do Not Pay Day

– Help Desk Support

Agency Support
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Agency

Treasury 

Agency Lead

FRB STL 

Agency Specialist

STL Onboarding 

Specialist

Department of Agriculture (USDA) Angélique Drew Marva

Department of Commerce (Commerce) Jon Shannon Marva

Department of Defense (DoD) Angélique Kristofer Marva

Department of Education (ED) Jon Kristofer Marva

Department of Energy (DOE) Jon Kristofer Marva

Department of Health and Human Services (HHS) Angélique Josh Marva

Department of Homeland Security (DHS) Angélique Shannon Marva

Department of Housing and Urban Development (HUD) Angélique Josh Marva

Department of Justice (Justice) Lori Kristofer Marva

Department of Labor (DOL) Angélique Shannon Marva

Department of State (State) Lori Shannon Marva

Department of the Interior (DOI) Jon Kristofer Marva

Department of the Treasury (Treasury) Angélique Josh Marva

Department of Transportation (DOT) Lori Drew Marva

Department of Veterans' Affairs (VA) Angelique Shannon Marva

Environmental Protection Agency (EPA) Jon Kristofer Marva

General Services Administration (GSA) Jon Drew Marva

National Aeronautics and Space Administration (NASA) Angélique Kristofer Marva

National Science Foundation (NSF) Angélique Shannon Marva

Nuclear Regulatory Commission (NRC) Jon Kristofer Marva

Office of Personnel Management (OPM) Lori Drew Marva

Small Business Administration (SBA) Lori Shannon Marva

Social Security Administration (SSA) Lori Josh Marva

U.S. Agency for International Development (USAID) Lori Shannon Marva

DNP Agency Assignments
Data Designation Process and Newly 

Proposed Databases

Do Not Pay Business Center

08/25/2020
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Data Designation Process

Database 

Identification and 

Research

Recommendation 

to Leadership

Draft Data 

Designation 

Recommendation

OMB Review and 

Approval

• DNP receives 

feedback regarding a 

potential database;

• A dedicated Data 

Acquisition Team 

(DAT) researches the 

database for 

viability;

• For Commercial 

Databases, a pilot is 

performed; 

• The DAT presents its 

findings to the 

Director of Treasury’s 

Working System;

• The Director decides 

whether the 

database will be 

recommended to the 

Office of 

Management and 

Budget (OMB);

• A formal 

recommendation is 

drafted for the 

Director of OMB.

• The recommendation 

is formally submitted 

through Legislative 

and Public Affairs to 

the Director of OMB.

• The Director of OMB 

and the Office of 

Information and 

Regulatory Affairs 

(OIRA) determine 

whether the database 

will be designated.
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Newest DNP Data Designation

Database Owner Description

DNP Adjudication Data Fiscal Service Payment records within DNP indicating whether an 

agency has found a payment to be improper.

Payments, Claims, and 

Enhanced Reconciliations 

(PACER)

Fiscal Service Post-Payment data includes action that has taken place 

after a payment has been made, including offset, debt 

referral and reclamation from a bank.

Beneficiary Identification 

Record Locator Service 

(BIRLS)

VA Master list of VA beneficiaries, including address, death

indicator, whether the individual is active/reserve and 

other information.

Multi-Use

Database Owner Description

National Plan and Provider 

Enumeration List (NPPES)

CMS Contains information on approved health care 

providers and plans.

National Disqualified List VA Contains information on providers that are ineligible to 

receive federal funding for a meals program.

Eligibility/Debarment
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Newest DNP Data Designation

Database Owner Description

DNP Adjudication Data Fiscal Service Currently, all adjudicated improper matches were 

death matches.

Payments, Claims, and 

Enhanced Reconciliations 

(PACER)

Fiscal Service Post-Payment data includes reclamation data from 

banks, which may indicate the account belongs to a 

deceased individual

OPM Holds List OPM OPM sends a list of payments to be held from 

disbursement due to new information gleaned before 

payment – most often a report of death.

Beneficiary Identification 

Record Locator Service 

(BIRLS)

VA BIRLS includes deceased individuals

Death

Incarceration

Database Owner Description

Bureau of Prisons Data BOP Contains information on incarcerated individuals under 

the jurisdiction of the US Attorney General.
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Newest DNP Data Designation

Database Owner Description

OPM Federal Register* OPM Contains information on Federal Employees, including 

income, employment status, disability, duty station, 

etc.

Employment

Aggregated (summary) – Analytics Only

Database Owner Description

Federal Audit Clearinghouse Census Audit Results and information on open findings.

Digital Accountability and

Transparency Act

Fiscal Service Granular detail into contractors, subcontractors, and all 

individuals and entities receiving federal funds.

American Communities 

Survey*

Census Self-reported household characteristics such as income, 

veterans’ status, and employment status.

Statistics of Income* IRS Data embedded in tax filings from individuals, 

corporations, tax exempt entities, and estates.

SEC Company Filings SEC Information from public company filings regarding 

financial information and operations. 

Delivery Sequence File USPS Information regarding US Postal Addresses.

*DNP would not use any data involving protected status, nor any elements that do not pertain to Improper Payments
Page 22 L EAD ∙ T RANSFORM ∙ D ELIVER

What’s in it for You?

Additional Death Data 

Coverage

High-quality death data 

will allow additional death 

data to be found.

Secondary Matching

Matching across 

databases allows agencies 

to focus efforts on 

payments that have more 

than one hit.

New Types of Data

For the first time, agencies 

will have access to 

incarceration and 

employment databases.

More Robust Analytics

DNP Analytics will have a 

more robust arsenal of 

databases to give a full 

and comprehensive view 

of your agency’s 

payments.

Increased Program Integrity Across the Board
Do Not Pay Webpage

Do Not Pay Business Center

08/25/2020
Providing Solutions 

Through Data Analytics

Do Not Pay Business Center

08/25/2020
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What is Data Analytics? 

So that you can

Focus on your mission

Data Analytics is examining raw data to draw conclusions. It 

involves the assessment, evaluation, interpretation, and 

communication of meaningful information and utilizing that 

information for effective decision making. 
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Why Data Analytics?

Your Business 

Problem Here

Eligibility risks and

payment/payee integrity 

issues related to:

• Beneficiaries

• Vendors

• Travel Pay

• Payroll

• Service Providers

• Loans

• Grants

• Disaster Funds

• Loss 

Guarantee/Insurance

Common challenge our partners face:

Business Problem:

Your organization disburses a high volume of payments, 

which makes it difficult to devote enough staff time to 

scrutinize every payment before issuance.

Solution:

Consult with DNP Analytic Solutions Team to utilize 

analytic techniques that identify hard-to-detect payment 

errors and fraud risk so that you can focus resources 

based on risk.

Benefits:

Supplement your resources with our staff and 

expertise, independently establish point-in-time 

check of current controls, and identify a targeted 

approach to reviewing payments based on risk.

Leverage your data to address business problems
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Who Are We?

So that you can

Focus on your mission

The DNP Analytic Solutions Team is dedicated to delivering

analytical insights and innovative data solutions that help 

you improve your payment integrity and meet your mission. 
Page 28 L EAD ∙ T RANSFORM RANSFORM ∙ D ELIVER

Our Techniques

We employ advanced data analysis techniques

Data

Matching

Data

Modeling

Risk 

Assessment

Advanced 

Algorithms
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Our Services

Analytic Solutions Team services range from consultation to 

fully-integrated data solutions that can be customized to your business
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Our Capabilities

Eligibility 

Verification:

Confirm payee 

eligibility by 

matching to data 

sources

Integrity 

Checks:

Identify hard-todetect errors, 

anomalies, and 

fraud risk in 

payees, 

payments, or 

invoices

Preventative 

Controls 

Assessment:

Demonstrate if 

internal controls are 

effectively 

preventing 

improper payments

Establish point-in-time verification of current processes & risk level of improper payments

Maximize resources via a prioritized recommendations to implement changes

Payee 

Consolidation:

Identify duplicate, 

high-risk, or ineligible 

payees

Custom 

Analysis:

Provide insight 

into specific 

research 

questions

(e.g., existence 

of cross-state 

overlap)

Develop additional process controls & strengthen existing controls to reduce risk of errors

Identify high-risk records to further evaluate based on risk and/or impact

Results allow partners to:
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Business problem: Partner knew there were integrity issues 

within its travel payment systems which have caused improper 

payments. The partner needed a way to identify system errors 

or vulnerabilities that lead to improper payments that should 

result in recovery activities.

Solution:

Travel Payment Example

Integrity 

Checks:

Identify hard-todetect errors, 

anomalies, and 

fraud risk in payees, 

payments, or 

invoices

• Duplicate payments

• High risk overlapping trips

• Shifted decimal analysis 

• Outlier detection

– Same invoice amount

– Invoices exceeding thresholds

– Excessive trips per fiscal year

• Vendor segment analysis

• Unliquidated advances
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Example Output: Duplicate Payments

Risk Level Vendor Attributes in 

Common: Vendor ID +

Invoice Attributes in 

Common

Duplicated 

Invoices (#)

Duplicated 

Invoices ($)

High

Invoice Total, Doc Type, 

Doc ID, Line Amount, 

Invoice ID, Invoice Total, 

Invoice Number Part 1, 

Check Date

Begin Travel, End 

Travel, Doc Number 244 $221K

Results: 

• Partner confirmed 42 duplicate payments totaling $44K

• 29 were not previously identified through existing processes 

resulting in $23K in cash loss avoided through partnership 

with DNP
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Example Output: Overlapping trips

Partially Overlapping Trips
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Business problem: Partner needed to retrain lenders on due- diligence 

processes, but faced resource constraints and therefore needed to 

prioritize lenders to train based on risk

Solution:

Delegated Lender Example

Preventative 

Controls 

Assessment:

Demonstrate if 

internal controls 

are effectively 

preventing 

improper payments

Test due-diligence processes

• TIN quality & risk assessment

• Eligibility verification

Synthesize results to prioritize lenders 

based on portfolio risk level

• Borrower- & principal-level view
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Business problem: Partner needed to proactively identify which of its 

payees who are concurrently dually enrolled in other similar programs to 

prevent improper payments stemming from dual-collection

Solution:

Dual-Benefits Example

Custom 

Analysis:

Provide insight 

into specific 

research 

questions (e.g., 

identification of 

cross-program 

overlap)

DNP identified & returned 

overlapping payees

DNP will continually identify and return 

overlapping payees with relevant detail 

for agency to conduct case 

development

Payee TIN Payee Name

Benefit 

Month

# of 

Ovalapping 

Payments

Total 

Payment 

Amount - 

Partner

Total 

Payment 

Amount - 

Agency A

Net 

Payment 

Overlap

######## John Smith Jan-20 5 $100 $1,000 $100

######## Jane Doe Jan-20 3 $500 $500 $500

... ... ... ... ... ... ...

Agency A Partner 

Agency

Overlap

9,511 

Payees

Totalling 

$193M

S M T W T F S

1 2 3 4

5 6 7 8 9 10 11

12 13 14 15 16 17 18

19 20 21 22 23 24 25

26 27 28 29 30 31

July
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Business problem: Partner uses a third-party obituary death source 

that does not provide TINs as part of its death data checks. Can DNP 

death data sources do a better job? For free?

Solution:

Beneficiary Eligibility Example

Eligibility 

Verification:

Confirm payee 

eligibility by matching 

to data sources

Description of Match 3rd Party 

Matches

Matches to 

Both DNP 

& 3rd Party

Death previously confirmed 28 99

Partner determined match 

was inconclusive 149 18

Partner determined match is 

possible, but not conclusive 

enough to stop payments

73 9

Partner determined match 

was conclusive 40 133

Total 290 259

More Value

More Value

Less 

Junk! Custom 

Analysis:

Provide insight into 

specific research 

questions

(e.g., identification 

of cross-program 

overlap)
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Feedback from Partners

“DNP’s findings helped 

to strengthen FINCEN’s 

[U.S. Coast Guard 

Finance Center] internal 

policies and procedures 

and provided a better 

understanding of data 

integrity controls.”

– United States Coast Guard, 

2019 Winter edition of the 

Quarterly Armed Forces 

Comptroller Journal

“Or experience with the 

DNP Analytics Team has 

been awesome. We all 

want to do more analytics, 

but we don’t have the 

time or resources to do 

that. Using DNP analytics 

was like augmenting our 

staff. We got the very best

analytics possible for free.”

– Jim Bates, Director of Program 

Accounting, U.S. Small Business 

Administration

Here’s what our partners are saying about us...

• “Our experience with the DNP Analytics Team has been awesome. We all 

want to do more analytics, but we don’t have the time or resources to do 

that. Using DNP analytics was like augmenting our staff. We got the very

best analytics possible for free.” – Jim Bates, Director of Program 

Accounting, U.S. Small Business Administration

• “DNP’s findings helped to strengthen FINCEN’s [U.S. Coast Guard Finance 

Center] internal policies and procedures and provided a better 

understanding of data integrity controls.” – United States Coast Guard, 

2019 Winter edition of the Quarterly Armed Forces Comptroller Journal
Expanding DNP Services -

to State Programs 

Do Not Pay Business Center

08/25/2020
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• State Engagement Dashboard

• Cap Goal 9

• Working Together

• State Program Approach

• Improper Payment Origins

• Eligibility and Dual Enrollment Tools

• Success Story

Contents
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Engaged States

1. Alaska

2. Arizona

3. California

4. Connecticut

5. District of Columbia

6. Florida

7. Iowa

8. Kentucky

9. Massachusetts

10. Michigan

11. Minnesota

12. North Carolina

13. New Mexico

14. New York

15. Ohio

16. Oklahoma

17. Oregon

18. Pennsylvania

19. Puerto Rico

20. Tennessee

21. Texas

22. Virginia

23. Washington

Current State Engagement 















 Engaged State

 Analytics Project

 Portal Onboarding

 DC




Page 41 L EAD ∙ T RANSFORM RANSFORM ∙ D ELIVER

Current Program Engagement















 DC



3

8

10

4

14

17

0

5

10

15

FY18 FY19 FY20

Fiscal Year State Engagement

Projected

Actual


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Getting Payments Right through supporting strategy 5: 

Strengthen Partnerships with States

— Identify opportunities to partner with states to improve 

improper payment detection and prevention capabilities 

in federally funded state-administered programs.

DNP State Initiative focuses on

— Partnering with states to develop solutions to assist in 

identifying & preventing improper payments 

— Support state programs with the identification of dual 

enrollments

Alignment with CAP Goal 9
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Working Together

Oversight 

Offices

Program 

Offices

Office of State 

Comptroller

Healthcare 

Authority

Secretary of State 

Audits Division

Department 

of Human 

Services 

Office of 

Payment 

Accuracy & 

Recovery

Office of 

State Auditor

Stakeholder Needs

• DNP adapts to state customers 

specific needs based on their 

customer type

Providing Value

• Assess state’s existing controls

– Identification of Risky TINs

– Fraud Detection 

– Data Quality

• Identifies the risk of overpayments 

associated with duplicate 

beneficiaries or providers

Developing a Reusable Solution

• Program Eligibility and Verification

• Dual Enrollment

– Across Multiple States

– Within a State

• Administrative Errors

– Duplication

Payment 

Disbursement 

Offices
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Target outreach efforts to source projects that enable 

developing “products” that resolve improper payment 

origins, for example dual enrollment

– SNAP

– Medicaid

DNP is developing these solutions by

– Leveraging existing partners 

– Targeting new partners based on magnitude of expected 

impact through data-driven approach

State Program Approach
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DNP building analytics solutions to help resolve improper 

payments stemming from: 

• Program Eligibility

– SNAP (Recipients & Merchants) $371M

– Medicaid (Providers & Clients) $2.3B

• Misuse of SNAP Funds (Recipients & Merchants) $887M

• Medicaid Claim/Billing Errors & Fraud (Providers & Clients) 

$11.0 B

• Dual Enrollment 

– SNAP (Recipients) $116M

– Medicaid (Clients) $5.5B

SNAP & Medicaid Improper Payment Origins
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What does it do?

– Identifies if your applicants/payees are listed on 

eligibility sources (death, debarred providers, registered 

providers, & delinquent debtors)

– Identifies the extent that data quality is impacting your 

ability to effectively screen payees

What will it tell me?

– Determines if payees meet/fail eligibility requirements 

– Tests how well current data quality & eligibility 

procedures are preventing improper payments

– Pinpoints potential opportunity areas to improve

Eligibility Verification Tool
Page 47 L EAD ∙ T RANSFORM RANSFORM ∙ D ELIVER

What will it do?

– Use analytic techniques to identify and prioritize cases 

of duplicate enrollment across states

– Use standardization procedures to account for 

formatting differences across states’ systems

What will it tell me?

– Provides prioritized list of duplicate enrollment cases on 

monthly basis

– Provides insight into relevant details necessary for 

adjudication such as likely state of current residency & 

coverage dates

Duplicate Enrollment Tool
Page 48 L EAD ∙ T RANSFORM RANSFORM ∙ D ELIVER

OR State Audits Division 

recommends improved 

efforts to detect and 

prevent improper 

Medicaid payments

(FY 2017) 

DNP worked with 

Oregon Audit Division 

to prove DNP benefits. 

(FY 2019)

DNP conducted 

analysis of Oregon’s 

Medicaid, CHIP, SNAP, 

TANF, ERDC 

programs.

(FY 2019)

$780K in cost 

avoidance/recovery as 

result of DNP Analysis.

(FY 2020)

Oregon Office of Payment 

Accuracy and Recovery 

(centralized program that 

oversees Medicaid payments 

across Oregon) is taking steps to 

onboard to use DNP.

(FY 2020) 

“Working with Do Not Pay was a great experience! 

The detailed analytics DNP provided, at no charge, helped our state identify numerous 

improper payments. We look forward to opportunities to work together again.”

Ian Green, M.Econ, CGAP, CFE, CISA

Audit Manager – Data Analytics, 

Secretary of State Oregon Audits Division

No Yes

State Success: Changing the Tide
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Results

• DNP identified 98 additional cases of deceased participants/providers

• DNP identified 2 records with a typo in end coverage date “2108”

– OR estimated this error had the potential to result in $6M in improper 

payments over 89 years

Impact

• DNP identified more than $790,000 in improper payment recovery, 

and cost avoidance

– Out-of-state & In-state death matching

– Data quality assessments

• Use of Do Not Pay generated a return on investment of ≈$286 in 

savings for every $1 spent – Secretary of State Oregon Audits Division Audit 

Report 2020-05 (p.6)

– Other data matching efforts report $36 in savings for every $1 spent

https://sos.oregon.gov/audits/Documents/2020-05.pdf

Oregon Analytics Project Results & Impact
Q&A

10 Minutes
Break

10 Minutes
Portal Enhancements -

A Sneak Peek!

Do Not Pay Business Center

08/25/2020
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DNP Release Roadmap

Online

Search

Batch

Matching

Continuous 

Monitoring Reports Payment 

Integration

Remaining 

Components 

and Legacy 

Discontinued

August

2019 

December

2019 

February

2020

July

2020

Late

2020 2021
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DNP Release 6.4 Enhancements

• Redesigned “Look and Feel” of Payments

– Limits number of clicks and screens to navigate

• Adjudicate Multiple Payments Enhanced 

Functionality 

– Single and Multiple Adjudication occurs on same 

page 

– Added payments with multiple matches to adjudicate 

en masse
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Payments Selection Screen
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Single Match Adjudication
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Multiple Payments Adjudication
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Payments Expand Details
Navigating the DNP Portal 

Do Not Pay Business Center

08/25/2020
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Questions
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DNP Business Center Says