audit testing and sample sizes

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    Internal Audit Testing

    and Sampling TechniquesChartered Institute ofInternal Auditors May 2014

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    PwC

    Controls Testing

    Slide 1

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    Testing Priorities

    Risk B1 Risk A1

    Risk B2 Risk A2

    Risk C2 Risk C1

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    Testing techniques

    Slide 3

    Controls testing

    Inquiry

    Re-performance

    Inspection/Examination

    Observation

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    Control testing

    - Inquiry consists of seeking information ofknowledgeable people within the client

    - Observation consists of looking at a processbeing performed by others

    - Examination

    inspection of information or data walkthrough confirming our

    understanding of a process by tracingindividual transactions from beginning toend

    - Re-performance independent execution ofprocedures that were originally performed aspart of managements internal controls

    Tests of controls aredesigned to obtainevidence to assesstheir operatingeffectiveness.

    Operatingeffectiveness meansthat the controls are

    functioning asdesigned on aconsistent basis over

    the period underexamination.

    Slide 4

    Controls testing

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    Determining which Testing techniqueto use

    Slide 5

    Level ofComfort

    Controls testing

    Inquiry

    Re-performance

    Inspection/Examination

    Observation

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    Determining which testing techniqueto use

    Considerations:

    The susceptibility of the control to change.

    The frequency and extent of the control.

    Our initial view of the likelihood of control weakness.

    Significance of the control to the control environment and how muchreliance is being placed on it.

    Slide 6

    Controls testing

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    Sampling

    Sampling is the application ofauditing procedures to arepresentative group of less than100% of the items within ahomogenous population

    We use non-statistical sampling

    3 Steps to follow:

    1. Determine the control testobjective, population andsampling unit

    2. Determining the sample size3. Selecting the sample for testing

    Slide 7

    Value Protection - execute

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    SamplingManual Controls

    Frequencyof Control Assumed populationsize Sample Size

    Annual 1 1

    Quarterly 4 2

    Monthly 122 (minimum) to 5 (maximum), Select 3 if you require

    a mid-range.

    Weekly 52 5 to 15. Select 10 if you require a mid-range

    Daily 250 20 to 40. Select 30 if you require a mid-range

    Multipletimes per day

    Over 250 25 to 60. Select 30 or 45 if you require a mid-range

    Depends on:

    Frequency of control or population size

    Level of evidence that is judged to be necessary

    The table below, can be used as a general rule; however, we may use asmaller sampling size:

    Value protection Execute

    Slide 8

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    SamplingManual Controls

    Following factors may indicate that sample sizes should be selected at thehigher end of the ranges:

    - The greater the potential financial loss or adverse event to the company ifthe control is not effective or fails:

    - The more complex the control- The greater the degree of judgment in control operation

    Value protection Execute

    Slide 9

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    SamplingAutomated Controls

    If IT General Controls have been tested and found to be effective, it may besufficient to only test one operation of the Automated Control

    Value protection Execute

    Slide 10

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    Audit documentation

    Audit documentation must containsufficient information to enable anexperienced auditor, having no previousconnection with the engagement to:

    - Understand the nature, timing, extent and results of the procedures

    performed, evidence obtained, and conclusions reached

    - Determine who performed the work and the date such work wascompleted, as well as the person who reviewed the work and the date ofsuch review.

    - Understand the linkage between conclusions and facts

    - Document what you have done and how you reached your conclusions

    Slide 11

    DocumentationRemember: if what

    you did isntdocumented, its theequivalent of not

    performed!

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    The changing shape of internal auditIncreased use of technology

    Drivers for change (top 3):

    1. Complexityincreased use of technology within the

    business | higher volume of transactions |increased automation | businesses driven bydata | devil is in the detail | how do you find aneedle in the hay stack?

    2. More for lesspressure to deliver more with less | value |quality | efficiency | insight | pressure todeliver with less resource and using samples?

    3. Resourcesskills sets | innovation | technologicallyminded team | reduced fear factor |development opportunities for your people?

    Confidential

    12May 2014

    CIIA - 14 May 2014

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    Confidential

    13May 2014

    CIIA - 14 May 2014

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    What are CAATs?Computer Assisted Audit Techniques

    A means of accessinglarge amounts of data ina format that can provide

    transparency notattainable through otherauditing procedures.

    The results may be used to identify areas of

    key risk, fraud, errors or misuse; improvebusiness efficiencies; verify processeffectiveness; or influence

    business decisions. (ISACA August 2011)

    Confidential

    14May 2014

    CIIA - 14 May 2014

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    Data analytics - methodology

    Extract andupload raw data

    Map andorganise data

    Analyse andvisualise data

    Finalise auditevidence, identifyanomalies andinsight

    Confidential

    15May 2014

    CIIA - 14 May 2014

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    Computer Assisted Audit TechniquesAdvantages

    Increased coverage 100% oftransactions

    How can you ever pick a sample thatis representative? 1

    Efficiency repeatableandautomated

    Expandable model, allowing tests tobe refined, tuned, added, removed 2

    Value and insight improve theperception of IA

    Standing still or moving with thetimes? 3

    Basis for prioritisation of whereto look next in the organisation

    You can quickly identify and addressemerging issues and risks 4

    Climb the maturity curve predictive business enabler

    In the future it will allow audit teststo be pushed into the organisationas monitoring controls

    516May 2014

    CIIA - 14 May 2014

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    Data analytics on vendor standing dataIdentify duplicate vendors based on the same or similar (fuzzy match) vendor name.

    Identifying and resolving duplicate vendor records is important as otherwise this could lead to loss, error or fraud. For

    example: lossof purchasing volume discounts available where spend with a specific supplier is recorded across two ormore records for the same supplier, errorif one vendor record is updated but the duplicate vendor record is notresulting in incorrect and inconsistent records, and fraud for example where duplicate vendor records are used toprocess payments below a review threshold.

    Confidential

    12,253vendors listed in standing data

    1,031perfect duplicates

    46fuzzy match with 1

    character difference

    96fuzzy match with 2

    character difference

    231fuzzy match with 3

    character difference17May 2014

    CIIA - 14 May 2014

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    Exercise

    You are the internal auditors to an NHS Trust. You have been asked toundertake a review to assess the accuracy of the information used to support theKPIs that are reported to the Board on a monthly basis and to externalregulators quarterly. What would you consider in devising a testing approach?

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    Exercise

    You are the internal auditors to an NHS Trust. You have been asked toundertake a review to assess the accuracy of the information used to support theKPIs that are reported to the Board on a monthly basis and to externalregulators quarterly.

    You are driving to work and hear on the radio that a NHS Trust in another part

    of the country has got into serious trouble for mis-reporting cancer waitingtimes data. There seems to be an issue in distinguishing between cancellationsand DNAs. Would you do anything differently.

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    May 2014

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    Exercise

    You are the internal auditors to an NHS Trust. You have been asked toundertake a review to assess the accuracy of the information used to support theKPIs that are reported to the Board on a monthly basis and to externalregulators quarterly.

    You are driving to work and hear on the radio that a NHS Trust in another part

    of the country has got into serious trouble for mis-reporting cancer waitingtimes data. There seems to be an issue in distinguishing between cancellationsand DNAs.

    In checking the above with the client you realise that they may have innocentlymis-interpreted the above and that this might mean that they have been mis-

    reporting data to their external regulators. What would you do?

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    May 2014

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    This publication has been prepared for general guidance on matters of interest only, and does not

    constitute professional advice. You should not act upon the information contained in this publication

    without obtaining specific professional advice. No representation or warranty (express or implied) isgiven as to the accuracy or completeness of the information contained in this publication, and, to the

    extent permitted by law, PricewaterhouseCoopers LLP, its members, employees and agents do not

    accept or assume any liability, responsibility or duty of care for any consequences of you or anyone

    else acting, or refraining to act, in reliance on the information contained in this publication or for any

    decision based on it.

    2014 PricewaterhouseCoopers LLP. All rights reserved. In this document, PwC refers to

    PricewaterhouseCoopers LLP (a limited liability partnership in the United Kingdom) which is a

    member firm of PricewaterhouseCoopers International Limited, each member firm of which is a

    separate legal entity.