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In session two we discussed Evidence Gathering techniques Evidence Analysis Techniques
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In session two we discussed Evidence Gathering techniques Evidence Analysis Techniques.

Dec 18, 2015

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Page 1: In session two we discussed  Evidence Gathering techniques  Evidence Analysis Techniques.

In session two we discussed

Evidence Gathering techniques Evidence Analysis Techniques

Page 2: In session two we discussed  Evidence Gathering techniques  Evidence Analysis Techniques.

Session III Coverage-Performance Auditing in IT Environment

Computer Assisted Auditing Techniques Specilised and support audit

techniques/software

Page 3: In session two we discussed  Evidence Gathering techniques  Evidence Analysis Techniques.

In this session we are going to discuss Computer Assisted Auditing Techniques

• Types, Benefits, CAATs adopted by SAI Computer Assisted Auditing Techniques

– Excel :-• Statistical functions• What if analysis• Filter

– ACCESS • Query• Filter• Join

– SQL• Simple Query• Complex Query• Join

Specialised & support Audit techniques/ software– COBIT-

• Meaning• Need for Control • Framework Principle • Critical Success Factor S• Key Performance Indicator• Maturity Model

– CRYSTALLBALL– TEAMMATE– EARNED VALUE ANALYSIS

Page 4: In session two we discussed  Evidence Gathering techniques  Evidence Analysis Techniques.

Computer Assisted Auditing Computer Assisted Auditing Techniques- UsageTechniques- Usage

Used to obtain sufficient, relevant and useful evidence to Used to obtain sufficient, relevant and useful evidence to achieve audit objectiveachieve audit objective

To support audit findings and conclusionsTo support audit findings and conclusions To overcome stiff challenge posed by information To overcome stiff challenge posed by information

processing environmentprocessing environment To overcome difficulty in evidence gathering on account To overcome difficulty in evidence gathering on account

of different hardware and software environment, different of different hardware and software environment, different data structure, record formats, processing functions etc.data structure, record formats, processing functions etc.

To enable auditor in performing audits to gather To enable auditor in performing audits to gather information independentlyinformation independently

To provide means to gain access and analyze data for a To provide means to gain access and analyze data for a predetermined audit objectivepredetermined audit objective

To report audit findings with emphasis on the reliability To report audit findings with emphasis on the reliability of records produced and maintained in the system.of records produced and maintained in the system.

Page 5: In session two we discussed  Evidence Gathering techniques  Evidence Analysis Techniques.

Types of CAAT Tools & TechniquesTypes of CAAT Tools & Techniques

Generalised Audit softwareGeneralised Audit software- IDEA, ACL Utility SoftwareUtility Software- database management systems report

generators that provides evidence on effectiveness of controls

Test DataTest Data- helps auditor to check for programme errors & whether programme meets its objective

Application software tracingApplication software tracing and mappingand mapping-gives information about internal controls built in the system

Expert systemsExpert systems- gives direction & valuable information at all levels of auditors while carrying out audit because the query based system is built on the knowledge base of the senior auditors or managers.

Page 6: In session two we discussed  Evidence Gathering techniques  Evidence Analysis Techniques.

CAATs- Generalised Audit software

Standard software with capability to directly read and access data from various database platforms, flat-file systems and ASCII formats

Enable auditor to have independent access to data for analysis and the ability to use high level problem solving software to invoke functions to be performed on data files

Features- Mathematical computations, stratification, statistical analysis, sequence checking, duplicate checking, recomputations

Page 7: In session two we discussed  Evidence Gathering techniques  Evidence Analysis Techniques.

Functions :-• File Access :- reading of different record formats

& file structure

• File reorganization :- indexing, sorting, merging, linking

• Data Selection :- global filtration condition & selection criteria

• Arithmetical function :- arithmetic operators & functions

Generalised Audit software

Page 8: In session two we discussed  Evidence Gathering techniques  Evidence Analysis Techniques.

Reduce level of Audit Risk Greater independence from the auditee Broader and more consistent audit coverage Faster availability of information Improved exception identification Greater flexibility of run times Greater opportunity to quantify internal control

weakness Enhanced sampling Cost saving over times

CAATs - Benefits

Page 9: In session two we discussed  Evidence Gathering techniques  Evidence Analysis Techniques.

SAI & CATTs SAI-adopted MS Office (Excel,Access), IDEA,

SQL Excel- what if analysis & statistical analysis Access-handling large volumes of data and

running queries SQL- used mainly in RDBMS environment to

query data directly which can be stored on CD or other portable media without bothering too much of data conversion before interrogation of data

IDEA- used for data analysis, data conversion, sampling etc.

Page 10: In session two we discussed  Evidence Gathering techniques  Evidence Analysis Techniques.

Excel In Excel we are going to have brief idea

about various powerful utilities offered in Excel which an Auditor can explore during performance auditing. They are

• Statistical (built in ) functions

• What if Analysis

• Filter Utility

Page 11: In session two we discussed  Evidence Gathering techniques  Evidence Analysis Techniques.

Statistical Analysis Functions- Excel Statistical Analysis Functions- Excel

Analysis ToolPak add-inAnalysis ToolPak add-in   Microsoft Excel provides a set of    Microsoft Excel provides a set of data analysis tools — called the Analysis ToolPak — that you data analysis tools — called the Analysis ToolPak — that you can use to save steps when you develop complex statistical or can use to save steps when you develop complex statistical or engineering analyses. You provide the data and parameters for engineering analyses. You provide the data and parameters for each analysis; the tool uses the appropriate statistical or each analysis; the tool uses the appropriate statistical or engineering macro functions and then displays the results in engineering macro functions and then displays the results in an output table. Some tools generate charts in addition to an output table. Some tools generate charts in addition to output tables.output tables.

Prerequisite knowledgePrerequisite knowledge   To use these tools, you need to be    To use these tools, you need to be familiar with the specific area of statistics or engineering that familiar with the specific area of statistics or engineering that you want to develop analyses for.you want to develop analyses for.

Related worksheet functionsRelated worksheet functions   Excel provides many other    Excel provides many other statistical, financial, and engineering worksheet functions. statistical, financial, and engineering worksheet functions. Some of the statistical functions (80) are built-in and others Some of the statistical functions (80) are built-in and others become available when you install the Analysis ToolPak. become available when you install the Analysis ToolPak.

Page 12: In session two we discussed  Evidence Gathering techniques  Evidence Analysis Techniques.

Some of these statistical functions are as shown in Some of these statistical functions are as shown in next two screensnext two screens

This screen also shows the general formula syntax This screen also shows the general formula syntax and its interpretationand its interpretation

Page 13: In session two we discussed  Evidence Gathering techniques  Evidence Analysis Techniques.

Some more Statistical Analysis Some more Statistical Analysis functionsfunctions

Page 14: In session two we discussed  Evidence Gathering techniques  Evidence Analysis Techniques.

Excel

We have discussed about statistical functions now we will move to

• Statistical (built in ) functions

• What if Analysis

• Filter Utility

Page 15: In session two we discussed  Evidence Gathering techniques  Evidence Analysis Techniques.

What if analysis- ExcelWhat if analysis- Excel

What if analysis talks about what will be the outcome of a formula in different scenarios.

Ex. If I am a shopkeeper and normally I took holiday on Sunday to what extent there will be increase in profit if I keep my shop open on Sunday also.

Ex. – When DA is changed from 59% of pay to 63% what will be the burden on exchequer.

Page 16: In session two we discussed  Evidence Gathering techniques  Evidence Analysis Techniques.

What if analysis-tablesWhat if analysis-tables One-variable data tables  - Use a one-variable data table if you want to

see how Change in amount affects the interest earned. This example calculates the interest amount for one year on the

investment range of Rs.1000-Rs. 5500 in a single step

Page 17: In session two we discussed  Evidence Gathering techniques  Evidence Analysis Techniques.

What if analysis- One Variable Table What if analysis- One Variable Table

Select Table Range & relevant menu option as shown below

Table Range

Menu option

Page 18: In session two we discussed  Evidence Gathering techniques  Evidence Analysis Techniques.

What if analysis-One variable TableWhat if analysis-One variable TableAfter clicking menu you get a dialogue box prompting to

Enter column input cell. Click Column Input cell and click B1 cell. You will get absolute address as shown in

dialogue box-column input cell.

Page 19: In session two we discussed  Evidence Gathering techniques  Evidence Analysis Techniques.

Resultant Table- What if analysisResultant Table- What if analysis

After clicking OK button as shown in previous dialogue you will get result as shown below

Page 20: In session two we discussed  Evidence Gathering techniques  Evidence Analysis Techniques.

Excel

We have discussed about what if analysis functions now we will move to

• Statistical (built in ) functions

• What if Analysis

• Filter Utility

Page 21: In session two we discussed  Evidence Gathering techniques  Evidence Analysis Techniques.

Excel also can be used to extract the Excel also can be used to extract the information like IDEAinformation like IDEA

Open database and click Data Menu – Auto filter/ Advanced filter

Page 22: In session two we discussed  Evidence Gathering techniques  Evidence Analysis Techniques.

Filtering in ExcelFiltering in Excel

The Data filter Menu shows two options• AutoFilter

• Advanced Filter

Auto filter allows one to select data based on some criteria from one or more than one field.

Advanced filter is used to prescribe complex queries for filtering.

Page 23: In session two we discussed  Evidence Gathering techniques  Evidence Analysis Techniques.

Auto filter Example showing drop Auto filter Example showing drop down arrows to select criteria down arrows to select criteria

Page 24: In session two we discussed  Evidence Gathering techniques  Evidence Analysis Techniques.

Filtering- on Designation field for Filtering- on Designation field for Designation “Auditor” and Pay Designation “Auditor” and Pay

>2400>2400

Page 25: In session two we discussed  Evidence Gathering techniques  Evidence Analysis Techniques.

SAI & CATTs After discussing about Excel as a CAAts let us

know some of the powerful features offered by MS Access

Excel- what if analysis & statistical analysis Access-handling large volumes of data and

running queries, Joining database, filtering information like excel or IDEA

SQL- used mainly in RDBMS environment to query data directly which can be stored on CD or other portable media without bothering too much of data conversion before interrogation of data

IDEA- used for data analysis, data conversion, sampling etc.

Page 26: In session two we discussed  Evidence Gathering techniques  Evidence Analysis Techniques.

Access

Query Filter Join

Page 27: In session two we discussed  Evidence Gathering techniques  Evidence Analysis Techniques.

Access Database table

Page 28: In session two we discussed  Evidence Gathering techniques  Evidence Analysis Techniques.

MS Access Database QueriesThe diagram shows an Access Query Design whereinWe have mentioned two criteria on a table “Customer”Country ARGENTINA And Status “A” Or Country NIGERIA

Page 29: In session two we discussed  Evidence Gathering techniques  Evidence Analysis Techniques.

Query result

Page 30: In session two we discussed  Evidence Gathering techniques  Evidence Analysis Techniques.

Access

Query Filter Join

Page 31: In session two we discussed  Evidence Gathering techniques  Evidence Analysis Techniques.

Access- FilterAccess- FilterTo select the suppliers from USA I just have to

click value USA from Country column and filter by selection button on standard toolbar for

removing filter just click remove filter button

Page 32: In session two we discussed  Evidence Gathering techniques  Evidence Analysis Techniques.

Access

Query Filter Join

Page 33: In session two we discussed  Evidence Gathering techniques  Evidence Analysis Techniques.

RelationsRelations Often data given to an Auditor is spread across various tables. But

Auditor is required to combine these tables to see the entire set of data. Relations is the utility which can help Auditor to combine many tables and view the resultant database as a single database for auditing purpose. One can set such relationship among tables and view it by viewing a toolbar button “Relationship”

Page 34: In session two we discussed  Evidence Gathering techniques  Evidence Analysis Techniques.

Relations- Several Tables are related on Relations- Several Tables are related on some common field to view large set of some common field to view large set of

information togetherinformation together

Page 35: In session two we discussed  Evidence Gathering techniques  Evidence Analysis Techniques.

Screen showing how one can view information relating to Screen showing how one can view information relating to suppliers, product & orders together from three distinct suppliers, product & orders together from three distinct tables because of such relationship- A single supplier tables because of such relationship- A single supplier having multiple orders for an unique product. If this having multiple orders for an unique product. If this information would have been stored in one table it would information would have been stored in one table it would have not satisfied information criteria avoidance of data have not satisfied information criteria avoidance of data redundancy.redundancy.

Page 36: In session two we discussed  Evidence Gathering techniques  Evidence Analysis Techniques.

SAI & CATTs SAI-adopted MS Office (Excel,Access),

IDEA, SQL Excel- what if analysis & statistical analysis Access-handling large volumes of data and

running queries SQL- used mainly in RDBMS environment

to query data directly which can be stored on CD or other portable media without bothering too much of data conversion before interrogation of data

Page 37: In session two we discussed  Evidence Gathering techniques  Evidence Analysis Techniques.

SQL

SQL stands for structured query language One can write complex SQL query to

extract the records as well as for joining the tables.

Page 38: In session two we discussed  Evidence Gathering techniques  Evidence Analysis Techniques.

SQL - QuerySQL - Query This query intends to fetch such records from emp table where

deptno(department no.) is the department number of an employee called ‘KING’ which is not known to user also. The query statement will be as shown below.

Query statement

Page 39: In session two we discussed  Evidence Gathering techniques  Evidence Analysis Techniques.

SQL Query fetching information from two tables

Two sql statements were fired to fetch the records from two tables – 1)emp 2)dept

First query statement

Second query statement

Page 40: In session two we discussed  Evidence Gathering techniques  Evidence Analysis Techniques.

Joining two tables with a SQL statement In this query two tables are joined by a where clause equating deptno

field from emp table with deptno of dept table. So there exist a common column to combine these tables

Single query statementCombining two tables

Page 41: In session two we discussed  Evidence Gathering techniques  Evidence Analysis Techniques.

Session Coverage-Performance Auditing in IT Environment

Computer Assisted Auditing Techniques Specilised and support audit

techniques/software

Page 42: In session two we discussed  Evidence Gathering techniques  Evidence Analysis Techniques.

Specilised & support audit techniques/ software

COBIT TeamMate Crystall Ball Earned Value Analysis

Page 43: In session two we discussed  Evidence Gathering techniques  Evidence Analysis Techniques.

Need for control In recent years, it has become increasingly evident that

there is a need for a reference framework for security and control in IT. Successful organisations require an appreciation for and a basic understanding of the risks and constraints of IT at all levels within the enterprise in order to achieve effective direction and adequate controls.

To achieve success in the information economy, enterprise governance and IT governance can no longer be considered separate and distinct disciplines. Effective enterprise governance focuses individual and group expertise and experience where it can be most productive, monitors and measures performance and provides assurance to critical issues. IT, long considered solely an enabler of an enterprise's strategy, must now be regarded as an integral part of that strategy.

COBIT framework serves this need

Page 44: In session two we discussed  Evidence Gathering techniques  Evidence Analysis Techniques.

COBIT IT Governance Institutes Product

Page 45: In session two we discussed  Evidence Gathering techniques  Evidence Analysis Techniques.

COBIT CCOBIT ( Control Objectives for Information and

Related Technology)- generic standard for good information technology security and control practices

IIt provides a reference framework for management, users, auditors, control & security practitioners So while conducting Performance Audit with reference to this framework one will come to know what is expectation from Management, Auditor, Users and Control & Security professionals by business/ Government.

Page 46: In session two we discussed  Evidence Gathering techniques  Evidence Analysis Techniques.

COBIT IInternational acceptance of COBIT as good practices for control

over information, IT & related risks. It can be tailored to the individual need. Auditor can refer to it as a best practice while conducting performance Audit in IT Environment

CCOBIT enables an enterprise to implement effective governance over the IT that is pervasive and intrinsic throughout the enterprise

CCOBIT- management guideline – addresses the management need to control & measure IT by providing tools to assess and measure the enterprise IT capability for 34 COBIT IT process

Page 47: In session two we discussed  Evidence Gathering techniques  Evidence Analysis Techniques.

The Framework’s Principles

Page 48: In session two we discussed  Evidence Gathering techniques  Evidence Analysis Techniques.

COBIT Domains These domains are applicable to very wide area not

only IT they can be applied to manual processes also. COBIT Controls are planned in 4 Domains

– Planning and Organization- IT long range & short range plan, Roles & responsibilities, Segregation of duties, IT Budgets, Return on Investment, Information Criteria, Recruitment, Promotion, Risk assessment, Compliance with external requirement, Manage Project, Manage Quality

– Acquisition and implementation- acquisition of hardware & software- Identify automated solution, Acquire & Maintain application software, Acquire & maintain Technology Infrastructure, Develop & maintain procedure, Install & Accredit system

Page 49: In session two we discussed  Evidence Gathering techniques  Evidence Analysis Techniques.

COBIT Domains

– Delivery & Support- Define service levels- Service Level Agreements, Manage third party products (Escrow Agreements), Manage continuous service, Manage Data (preparation, authentication, output distribution etc.), System security, Identify & allocate cost, Training to users.

– Monitoring- Monitor the Process, Collecting & monitoring Data, Independent assurance before implementing new services, Effective evaluation of third party service providers.

Page 50: In session two we discussed  Evidence Gathering techniques  Evidence Analysis Techniques.

COBIT Tools

Performance measurement elements (outcome measures & performance drivers for all IT process). These tools will tell whether IT is doing the job that business expect from it.

A list of critical success factors that provides succinct, non-technical best practices for each IT process.

Maturity models to assist in benchmarking and decision-making for capability improvement

Page 51: In session two we discussed  Evidence Gathering techniques  Evidence Analysis Techniques.

• KPI for performance measurable indicators of performance of the enabling factors

• f(Control Statement and Considerations in ‘Waterfall’)

• How well they leverage/manage the resources needed

Control Statements

Control Practices

is enabled by

and considers

IT Processes

The control of

Business Requirements

which satisfy

Key Performance Indicators

Page 52: In session two we discussed  Evidence Gathering techniques  Evidence Analysis Techniques.

• Management oriented IT control implementation guidance

• Most important things that contribute to the IT process achieving its goal

• Strategically

• Technically

• Organisationally

• Process or Procedure

• Control Statement and Considerations of the ‘Waterfall’

• Visible and measurable signs of success

• Short, focussed and action oriented

• Leveraging the resources of primary importance in this process

Critical Success Factors

Control Statements

Control Practices

is enabled by

and considers

IT Processes

The control of

Business Requirements

which satisfy

Page 53: In session two we discussed  Evidence Gathering techniques  Evidence Analysis Techniques.

Maturity Models for Self-Assessment

Page 54: In session two we discussed  Evidence Gathering techniques  Evidence Analysis Techniques.

Specilised & support audit techniques/ software

COBIT Following software's assist performance

Audits– TeamMate– Crystall Ball– Earned Value Analysis– IDEA

Page 55: In session two we discussed  Evidence Gathering techniques  Evidence Analysis Techniques.

TEAMMATE’S FEATURES

Page 56: In session two we discussed  Evidence Gathering techniques  Evidence Analysis Techniques.

TeamMate

Audit Management software developed by Pricewaterhouse Cooper

It is an electronic work paper package that simplifies and enhance effectiveness of audit documentation process

Page 57: In session two we discussed  Evidence Gathering techniques  Evidence Analysis Techniques.

TeamMate Components

Teamrisk :-risk assessment tool for preparing risk based audit plan

Teamschedule :- a tool for scheduling staff resources to audit

Teammate (EWP) :- a electronic work paper system; and

Teamcentral :- a web-based issue tracking system

Page 58: In session two we discussed  Evidence Gathering techniques  Evidence Analysis Techniques.

A Database Driven System

All important information such as audit steps, audit findings, review notes, sign-offs and edit histories are contained in database tables.

This type of system allows real-time team based use as well as filtering and sorting for key information. 

Page 59: In session two we discussed  Evidence Gathering techniques  Evidence Analysis Techniques.

Real-time team based use:

In a document based system (vs. TeamMate) there is one Word document that contains the audit exceptions and if this were in use by one auditor, other auditors would have to "wait their turn" until the document freed up.

This example can be extended to included documenting review notes and working on audit programs.

Page 60: In session two we discussed  Evidence Gathering techniques  Evidence Analysis Techniques.

Continued…

In TeamMate auditors can document new exceptions while a review of previous exceptions is underway -- multiple users can access the TeamMate database information on a concurrent basis.

For example in TeamMate, four audit team members could each access the same audit concurrently and simultaneously document exceptions or work on the same audit section.

Page 61: In session two we discussed  Evidence Gathering techniques  Evidence Analysis Techniques.

Filtering and Sorting tools:

As the key information is contained in database tables (displayed in a user-friendly graphical interface) you can filter and sort for key information instantly.

For example, an audit might contain 8 audit programs - each with 10 steps.

Page 62: In session two we discussed  Evidence Gathering techniques  Evidence Analysis Techniques.

Continued…

In a Word based program system (unlike TeamMate) you would have 8 separate Microsoft Word programs.

A user could not readily determine key information such as outstanding steps, individual steps ready for review, all high risk steps, etc. The contents of the 8 programs are not viewable without launching all eight documents and manually scrolling through each document.

Page 63: In session two we discussed  Evidence Gathering techniques  Evidence Analysis Techniques.

The Auditor Tool-set

TeamMate allows auditors to perform a wide range of audit "annotations in other computer applications such as Word or Excel.  

With TeamMate, auditors can cross reference KDs, document objections, create notes reviewing earlier work, etc. while still working in their familiar applications such as Word and Excel.

Page 64: In session two we discussed  Evidence Gathering techniques  Evidence Analysis Techniques.

The Art of Imaging KDs!

TeamMate allows easy incorporation of critical scanned images & photographs into the workpapers.

Once scanned, an image cannot be altered by anyone – the reader or the auditor - preserving the integrity of the document (i.e. no changes made to the Purchase Order that was scanned.)

Page 65: In session two we discussed  Evidence Gathering techniques  Evidence Analysis Techniques.

Continued…

This helps to preserve key audit evidence in its exact form.

It also helps because we can link our audit observations digitally with the key evidence.

With TeamMate, scanned images are added at the click of a button -- directly into the workpapers!

Page 66: In session two we discussed  Evidence Gathering techniques  Evidence Analysis Techniques.

File Compression / Encryption / Back-up

All workpapers are automatically compressed (to 1/7th -- 1/3rd of their native size) when closed within TeamMate. -

In addition, this document will be encrypted. The result is smaller audit file sizes and files

that cannot be accessed through the back door "File Manager or Windows Explorer.“

All audit information is encrypted: during e-mail transport, archival and current use.

Page 67: In session two we discussed  Evidence Gathering techniques  Evidence Analysis Techniques.

Advanced Replication

TeamMate allows team-members located in other places the ability to access the entire audit without disrupting current use.

In TeamMate, a replica (exact copy) of the section is taken for remote review and work can continue on the master copy. Changes are merged after review.

Page 68: In session two we discussed  Evidence Gathering techniques  Evidence Analysis Techniques.

Change Tracking

TeamMate will identify and highlight an individual audit step within an audit program that has been edited after review.

TeamMate allows senior level officials to "freeze" workpapers and programs -- thereby preventing unauthorized changes.

Page 69: In session two we discussed  Evidence Gathering techniques  Evidence Analysis Techniques.

Other features…

TeamMate can support the audit workflow process at each :

Project identification can be documented through TeamRisk.

Scheduling, documentation of audit implementation can be done through TeamMate and

Follow-up can be performed through TeamCentral.

Page 70: In session two we discussed  Evidence Gathering techniques  Evidence Analysis Techniques.

Key features

For using TeamMate to document our audit, we divide the entire audit project/topic into “programmes”. These “programmes” are nothing but areas to be audited.

The “programmes” are then divided into “audit steps”. These “steps” are the test of evidence based on audit criteria developed and in line with our audit objectives.

Page 71: In session two we discussed  Evidence Gathering techniques  Evidence Analysis Techniques.

Key features continued…

TeamMate also helps by storing the steps & decisions, so that we need not prepare the same when we go for audit again.

It integrates with the structure of audit implementation guidelines envisaged in the Performance Auditing Guidelines.

Page 72: In session two we discussed  Evidence Gathering techniques  Evidence Analysis Techniques.

Conclusion

TeamMate will not audit papers/data on your behalf. What it does is to make you document each step of your audit.

It also helps to record every decision taken while planning and reviewing audit.

It is useful for storing for future use.

Page 73: In session two we discussed  Evidence Gathering techniques  Evidence Analysis Techniques.

Specilised & support audit techniques/ software

COBIT TeamMate Crystall Ball Earned Value Analysis IDEA

Page 74: In session two we discussed  Evidence Gathering techniques  Evidence Analysis Techniques.

CrystallBall

Software developed by the General Accounting Office (US)

It analyses the effect of varying inputs to a modeled system on the outputs

Useful for performing cost & uncertainty analysis

Page 75: In session two we discussed  Evidence Gathering techniques  Evidence Analysis Techniques.

Specilised & support audit techniques/ software

COBIT TeamMate Crystall Ball Earned Value Analysis

Page 76: In session two we discussed  Evidence Gathering techniques  Evidence Analysis Techniques.

Earned Value Analysis (EVA)

A quantitative tool of measuring the value of work actually done on a particular date during the lifecycle of the project and based on that, to forecast the project cost & scheduled performance

It measure progress of the project,provide schedule & budget variances on a particular date and to forecast the completion date and the cost of completion of the project

Page 77: In session two we discussed  Evidence Gathering techniques  Evidence Analysis Techniques.

In this session we discussedIn this session we discussed

Computer Assisted Auditing Techniques– Excel

• Statistical sampling, What if analysis, Filtering– ACCESS

• Query

• Filter

• Join

– SQL• Simple Query

• Complex Query

• Join

Page 78: In session two we discussed  Evidence Gathering techniques  Evidence Analysis Techniques.

In this session we discussedIn this session we discussed

Specialised & support Audit techniques/ software– COBIT-

• Meaning• Need for Control • Framework Principle • Critical Success Factor S• Key Performance Indicator• Maturity Model

– CRYSTALLBALL– TEAMMATE– EARNED VALUE ANALYSIS