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CAATTs for Data Extraction and Analysis

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Title: CAATTs for Data Extraction and Analysis


1
CAATTs for Data Extraction and Analysis
  • Chapter 7

2
CAATTs
  • See CAATT from Wikipedia in relevant links
  • Auditors make extensive use of CAATTs in
    gathering accounting data for testing application
    controls and in performing substantive tests.
  • This chapter discusses data extraction tools that
    are used to analyze the data processed by an
    application rather than the application itself.
  • By analyzing data retrieved from computer files,
    the auditor can make inferences about the
    presence and functionality of controls in the
    application that processed the data.

3
Data Extraction Software
  • An important use of such software is in
    performing substantive tests.
  • Most audit testing occurs in the
    substantive-testing phase of the audit.
  • These procedures are called substantive tests
    because they are used to substantiate dollar
    amounts in account balances.

4
Substantive tests
  • Include, but are not limited to, the following
  • Determining the correct value of inventory
  • Determining the accuracy of prepayments and
    accruals
  • Confirming accounts receivable with customers
  • Searching for unrecorded liabilities

5
Substantive tests (Cont)
  • In an IT environment, the records needed to
    perform such tests are stored in computer files
    and databases.
  • Before substantive tests can be performed, the
    data need to be extracted from the host system
    and presented to the auditor in a usable format.

6
Data Extraction Software
  • Two types
  • embedded audit modules (EAM)
  • general audit software (GAS)

7
Embedded Audit Module
  • The objective of EAM is to identify important
    transactions while they are being processed and
    extract copies of them in real-time.
  • An EAM is a specially programmed module embedded
    in a host application to capture predetermined
    transaction types for subsequent analysis. See
    Figure 7-20.

8
Embedded Audit Module (Cont)
  • As the selected transaction is being processed by
    the host application, a copy of the transaction
    is stored in an audit file for subsequent review.
  • The EAM approach allows selected transactions to
    be captured throughout the audit period, or at
    any time during the period, thus significantly
    reducing the amount of work the auditor must do
    to identify significant transactions for
    substantive testing.

9
Embedded Audit Module (Cont)
  • To begin data capturing, the auditor specifies to
    the EAM the parameters and materiality threshold
    of the transactions set to be captured.
  • For example, lets assume that the auditor
    establishes a 50,000 materiality threshold for
    transactions processed by a sales order
    processing system.
  • Transactions equal to or greater than 50,000
    will be copied to the audit file.
  • From this set of transactions, the auditor may
    select a subset to be used for substantive tests.

10
Risks in using EAM
  • Operational efficiency EAM may decrease
    operational performance because executing EAM
    incurs extra system overhead.
  • Verifying EAM integrity When application logic
    is modified, corresponding EAM logic may also
    need to be changed.

11
Generalized Audit Software (GAS)
  • Most widely used CAATT for IS auditing.
  • GAS allows auditors to access electronic coded
    data files and perform various operations on
    their contents.
  • Some of the more common uses for GAS are shown in
    page 274.

12
GAS is popular
  • GAS languages are easy to use and require little
    computer background on the part of the auditor.
  • Many GAS products can be used on both mainframe
    and PC.
  • Auditors can perform their tests independent of
    the computer services staff.
  • GAS can be used to audit the data stored in most
    file structures and formats.

13
Using GAS to access complex structures
  • See Figures 7-22, 7-23, 7-24

14
ACL software
  • Designed as a meta-language for auditors to
    access most data stored by electronic means and
    test them comprehensively
  • Many of the problems associated with accessing
    complex data structures have been solved by ACLs
    Open Data Base Connectivity (ODBC) interface.
  • Definition of ODBC

15
ODBC Illustration
ODBC-compliant DBMS
MS SQL
Application Program
Driver
SQL commands
Oracle
Driver
Driver
DB 2
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