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Published byLindsay Hubbard Modified over 8 years ago
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USE OF IT TOOLS IN AUDITING THE NIK REPUBLIC OF POLAND Wiesław Karliński economic adviser Department of Budget & Finance Wieslaw_Karlinski@nik.gov.pl
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2 AREAS OF USING IT IN AUDITING -AS SUBJECT OF AUDIT -AS TOOLS AIDING THE AUDITING’S ORGANIZATION AND MANAGEMENT -AS TOOLS AIDING AUDITING PROCESS -AS TOOLS AIDING PREPARATION OF AUDITING’S REPORTS
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3 1. AUDIT STUDY & STATISTICAL SAMPLING STUDYING FAIRNESS OF FINANCIAL AND ACCOUNTING RECORDS & CORRECTNESS OF BUDGET REPORTING 2. ANALYTICAL STUDY OF DATABASES STUDYING OF SELECTED INCOMES IN STATE BUDGET STUDYING OF TAX SYSTEM IT TECHNIQUES APPLICATIONS IN AUDITING PROCESS
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4 STATE BUDGET AUDIT – CONDITIONS (1) 1.The number of audited institutions (budget entities) ~ 400. 2.About 80-90% entities have applied computer accounting systems which were unfortunately prepared by many different providers. 3.So they do not guarantee full accessibility to data in the electronic form and using typically CAATs tools. 4.The standards of accountancy in budget entities are not sufficiently specified.
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5 STATE BUDGET AUDIT – CONDITIONS (2) 5.The differences in size of audited budget entities bring difficulties in forming indiscriminated assumptions. 6.Auditors do not posses enough experience and knowledge in statistical sampling and databases’ transformation. 7.The amount of time for a single audit study is very limited.
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6 1. SELECTION OF EVIDENCE SAMPLE RANDOM SELECTION, IRRESPECTIVE OF ACCOUNTING ENTRIES FORMAT (AUTOMATED OR MANUAL) 2. PERFORMING AUDIT STUDY AND DOCUMENTING FINDINGS BASED ON SPECIFIC AUDIT FORM DESIGN 3. EXTRAPOLATION OF FINDINGS BASED ON STATISTICAL METHODS FAIRNESS OF ACCOUNTING RECORDS : STUDY METHODOLOGICAL ASSUMPTIONS (in 2002)
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7 1 2 3 IT TOOL – „AUDITOR’S TOOL KIT (ASSISTANT)”
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8 “AUDITOR’S TOOL KIT” - UNIVERSAL FUNCTIONS 1. SAMPLE SIZE CALCULATION: ATTRIBUTE SAMPLING VARIABLE SAMPLING PPS SAMPLING (Poisson’s Distribution) 2. SAMPLING: RANDOM-NUMBER GENERATOR SIMPLE RANDOM SELECTION (Excel Input File) PPS SELECTION (Excel Input File) 3. EXTRAPOLATION: PROPORTION ESTIMATION (Hypergeometric Distribution) MEAN-PER-UNIT ESTIMATION (Normal Distribution) MONETARY UNIT SAMPLING (Poisson’s Distribution)
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9 intentional selection sample of expenditure random sample 7. EXTRAPOLATION OF FINDINGS 6. FINDINGS & REPORTS 5. ADDITIONAL DATA „AUDITOR’S TOOL KIT” - SPECIAL FUNCTIONS: REALIZATION OF STUDY step by step 8. SUPPLEMENTARY SELECTION 4. STUDY (QUESTIONNAIRE) 3. SAMPLE VERIFICATION 2. SAMPLE SIZE & SELECTION 1. IDENTIFICATON OF POPULATION FINAL ASSESSMENT assessment ? precision?
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10 STUDYING AUDIT EVIDENCE: EXPECTED PROBLEMS (in 2002) 1.AVAILABILITY OF POPULATION TO BE STUDIED IN CHECKLIST FORMAT 2.CONSISTENT RULES AND TECHNIQUES FOR IDENTIFYING ACCOUNTING EVIDENCE 3.VARIED SIZES OF POPULATIONS STUDIED 4.LACK OF KNOWLEDGE OF POTENTIAL IRREGULARITIES’ SCALE
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11 STUDYING AUDIT EVIDENCE: SOLUTIONS 1.MANY (9) IDENTIFYING ACCOUNTING EVIDENCE METHODS (including electronic data form) 2.ATTRIBUTE SAMPLING WITH SEQUENTIAL ANALYSIS 3.IDENTICAL RELATIVE MATERIALITY FOR EVERY ENTITY
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12 Example Forms (1): Audit Questionnaire
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13 Example Forms(2): Estimation & Assessment findings in strata parameters of extrapolation estimation & assessment & error of estimation supplementary selection estimation weighted by value
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14 Example Forms (3): Collective Analysis of Findings FAS Detailed Statistics opinion opinion for budget chapter ~ 400
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15 AUDIT RUN BY 8 DEPARTMENTS & 16 SCC REGIONAL OFFICES AUDITEES IN 2003 : OVER 370 ENTITIES INCLUDING 106 LOCAL GOVERNMENT ENTITIES IN 2004 : 356 ENTITIES INCLUDING 121 LOCAL GOVERNMENT ENTITIES STUDY IMPLEMENTATION & SCOPE
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16 MOST FREQUENT TYPES OF IRREGULARITIES INCORRECT ACCOUNTING MONTH INCORRECT ENTRY TO ACCOUNTS INCORRECT CURRENT CONTROLS OR EVIDENCE REFERRALS INCORRECT AMENDMENTS TO EVIDENCE LACK OF CONSISTENT EVIDENCE IDENTIFICATION AUDIT RESULTS in 2004 (215 STATE BUDGET ENTITIES)
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17 2. STUDY OF DATABASES SPECIFIC CASE : LOAN PENALTY TICKETS IN VOIVODS’ BUDGETS IT TECHNIQUES – APPLICATIONS (2)
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18 COLLECTING INCOMES FROM PENALTY TICKETS - GENERAL SCHEME Database TO 7 days Payment RecordPayment Execution Title ORGAN AUTHORIZED TO PENALIZE VOIVOD TAX OFFICE Execution Penalization penalty ticket > 2mln /year DATABASE AUDITED WITH ANALYTICAL METHODS ?? (max=1 month) ?? (max=2 months)
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19 COLLECTING INCOMES FROM PENALTY TICKETS - ORGANIZATION OF STUDY DB-1 Excel DB-16 ExportationAnalysisFindings ACL ( Audit Command Language) Comparative Analysis VOIVOD’S ASSESSMENT VOIVOD’S ASSESSMENT Voivodship databases * *) total: 16 voivodships, 23 databases, 5 mln tickets
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20 TICKETS’ STUDY - EXEMPLARY FINDINGS (1) >180 days ??
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21 TICKETS’ STUDY - EXEMPLARY FINDINGS
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22 PLANS & PROBLEMS WIDER ACCESIBILITY TO DATA IN ELECTRONIC FORMAT (outside the NIK influence) FURTHER REFINEMENT OF THE METHODOLOGY (sampling & analytical methods) IMPROVEMENT OF APPLIED TOOLS ADDITIONAL STAFF TRAINING
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THANK YOU FOR YOUR KIND ATTENTION THE NIK REPUBLIC OF POLAND
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