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Creating an Interactive A-133 Database

Creating an Interactive A-133 Database. AGA Central PA Chapter Joe Kull PwC February, 2011. The project. -Question:

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Creating an Interactive A-133 Database

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  1. Creating an Interactive A-133 Database AGA Central PA Chapter Joe Kull PwC February, 2011

  2. The project -Question: Can eXtensible Business Reporting Language [XBRL] be used to digitally link audit findings in the SF-SAC to the written text of the auditor’s report? -Why? -Make use of 500,000 A-133 audits reports -Identify trend and root cause problems -Manage Corrective Action Plans

  3. Partners, Participants and Spectators • Anna Miller, AGA Research Director • Joe Kull, PwC, project manager • Leanne Travers, Allocation Solutions • Mike Doane and Paul Norcinni, Marklogic • Sheila Conley and Terry Ramsey, HHS • Kinney Poynter , Claudia Chebinou, NASACT • Federal Audit Clearinghouse • OMB [Gil Tran and Marguerite Pridgon] • George Strudgeon, Va Auditor of Public Works

  4. The approach • One program across all states • Identify links between forms and reports • Develop taxonomy based on audit reports • Appropriately ‘tag’ the reports using XBRL • Digitally search for text of the audit finding

  5. Murphy’s Law Prevailed • Forms were electronic; reports pdf. • No reports thru FAC; only half on the Internet • Reports used different formats, phrases • Shift tactics; try words/phrases to create ‘tags’ • Shift research from all states, one program to all programs, across 5 states

  6. Building on Progress • New HHS pilot to exploit AGA project results • Focus on more high risk, high dollar auditees • Will support HHS analysis across multiple years by auditee and by program

  7. What HHS Wants • Ability to analyze • Performance measurement and accountability • Identify auditees with repeat findings and inconsistent reporting • Recommendations for FAC and A-133 process changes • Leverage existing data for high risk auditees at a reasonable cost

  8. What HHS wants, con’t • Analytics-root cause, trends • Monitor/age Corrective Action Plans • Manage risks • Concentrate on high dollar, high risk recipients • Profile applicants during ‘emergency’ situations

  9. Challenges Identified by HHS pilot • AGA project not as scalable as thought • PDF formats (image vs. text) prior to 2008 • Findings Reference Numbers in SF-SAC form do not match audit reports • Inconsistent report formats a detriment to analysis

  10. Improving A-133 • Define and standardize data structure • Tackle redaction issue • Act on data, analysis • Develop risk management profiles • More pilots • Take serious look at A-133 • Invest in FAC • Find ownership of grants, A-133

  11. Other Opportunities • Open untapped datasets • Enable access and visibility • Simplify redaction process • Develop data and format standards • Exploit current technologies

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