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ACL Duplicate Invoices Detection

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ACL Duplicate Invoices Detection Overview Using ACL to detect and report Duplicate Invoices within and between a Rail Entity s Ariba procurement, Ellipse AP and ... – PowerPoint PPT presentation

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Title: ACL Duplicate Invoices Detection


1
ACL Duplicate Invoices Detection
  • Overview
  • Using ACL to detect and report Duplicate Invoices
    within and between a Rail Entitys Ariba
    procurement, Ellipse AP and Purchase Card ( iCMS
    ) systems.

2
ACL Duplicate Invoices Detection Framework
  • Currently ACL has projects and modules developed
    for
  • Procurement ( Ariba )
  • Accounts Payable ( Ellipse )
  • Purchasing Card ( iCMS )
  • A cross platform Supplier ( Matching ) Admin
    project.
  • An integrated Excel based Duplicate Invoice
    Reporting and Management framework.
  • These projects have been developed using the ACL
    Analytics" ( ACL ), which is the auditors tool
    of choice for developing cross systems data
    acquisition and analysis / testing.

3
ACL Duplicate Invoices Detection - Functionality
  • The three ACL projects make up an over arching
    Invoices database
  • Intelligent Duplicate Invoice detection both
    within and between the systems has been developed
  • RISKS identified / addressed ( Duplicate
    Invoices )
  • Within Ariba, Ellipse and iCMS there are some
    native controls, these have been significantly
    augmented by the ACL tests
  • Major risks identified / addressed
  • There are no existing system controls to detect
    duplicate invoice payments between Ellipse AP and
    iCMS.
  • A recent test has been added to detect instances
    where an invoice has been loaded into Ariba and
    has not yet made it to Ellipse AP for payment,
    but the same invoice has already been paid via
    iCMS. This provides the opportunity to avoid a
    duplicate payment by rejecting the invoice in
    Ariba.

4
ACL Duplicate Invoices Detection - Summary
  • Duplicate Invoice detection within Ariba
    Procurement
  • Duplicate Invoice detection within Ellipse AP
  • Duplicate Invoice payment detection within
    Purchase Card ( iCMS )
  • In addition, duplicate invoice detection is
    performed for invoices duplicated across Ariba,
    Ellipse and Purchase Card
  • Duplicates between Ellipse and Purchase Card (
    iCMS )
  • Duplicates between Ariba and Ellipse ( special
    case )
  • Duplicates between Ariba and PCard ( iCMS )

5
The Audit Perspective - 1
  • Both the Rail entity Internal Audit department
    and the NSW Audit Office have audited the
    entitys AP Purchase Card systems and have
    highlighted the fact that they could assign a
    higher degree of confidence to their audit
    reports due to the implementation of the ACL
    Duplicate Invoice Detection Framework.
  • In the case of the NSW Audit Office, they have
    stated that their Auditing bill to the Rail
    entity is significantly lessened due to the fact
    that they do not see the need to perform their
    own full scale invoice data extraction and ACL
    Duplicates Analysis.

6
The Audit Perspective - 2
Continuum of Audit Analytics
Rail entity is here
7
Duplicate Invoice payments within iCMS -
Summary
  • Detecting and managing duplicate invoice payments
    within PCard iCMS is more challenging than within
    Ellipse / Ariba.
  • This is due to the fact that iCMS is NOT an
    accounts payable system.
  • A cardholder using their card to pay an invoice
    generates an expense record, and they, after the
    card statement from Westpac is imported into
    iCMS, fill out more details in the expense record
    and scan save the invoices.
  • Since July 2012, the Rail entity PCard section
    have implemented some best practice business
    rules to assist the detection of duplicate
    invoices.
  • Whereby the cardholder must
  • enter the invoice number, invoice date and
    invoice amount (as per the invoice)
  • in the case of using the one expense payment to
    pay more than one invoice, the rules for
    generating split records for each invoice must
    be followed.
  • when splitting the invoice across more than one
    expense payment (card limit), the purpose field
    should contain descriptive info like part 1 of 4
  • ACL generates an iCMS Common Format Invoice
    record with the Normalised Supplier Name (derived
    from the Westpac Merchant name)

8
Duplicate Invoice payments within iCMS - ACL
Reports
  • In spite of the new invoice data capture/coding
    business rules implemented, there are still
    possibilities for variations, which are catered
    for in the ACL logic.
  • The Excel iCMS Duplicate Invoice Report presents
    a set of probability filters combining
  • SNormalised Charge ( supplier ) Name, APayment
    Amount, IInvoice Id,
  • DInvoice Date, NEmployee Name, PPurpose
    Description
  • The filters are SAIDNP, SAIDN, SAID, SAI, SA
    SI
  • Eg. SAIDNP means the Invoice records share the
    same values for the above and are highly likely
    to be a duplicate invoice payment set
  • The SI filter is a special case where there could
    be multiple, but different payment amounts for
    the same Invoice
  • The admin person processing the report
    successively applies these Excel filters and
    eyeballs the results.
  • This achieves a satisfactory balance between ACL
    logic not missing possible duplicates and
    assisting a human in picking out the real ones.

9
Duplicate Invoice Detection in other environments
  • The model developed for detecting duplicate
    invoices depends on
  • Building a common format logical invoice record
    from
  • - invoices in the host ERP system Eg. SAP
    or Oracle Financials
  • - invoices paid via the iCMS Purchasing Card
    system
  • Building a Normalised Supplier Name cross
    system master table from the ERP Vendor Master
    and the iCMS Merchants
  • Once the above components are built, the existing
    ACL logic developed for duplicates detection can
    be applied ( with some tailoring for local
    business rules )
  • This modular ( meta ) approach enables an
    efficient implementation for new platforms
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