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Continuous Assurance 101 Miklos A. Vasarhelyi •AT&T Laboratories •Rutgers University

Continuous Assurance 101 Miklos A. Vasarhelyi AT&T Laboratories Rutgers University

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Page 1: Continuous Assurance 101 Miklos A. Vasarhelyi AT&T Laboratories Rutgers University

Continuous Assurance 101

Miklos A. Vasarhelyi•AT&T Laboratories•Rutgers University

Page 2: Continuous Assurance 101 Miklos A. Vasarhelyi AT&T Laboratories Rutgers University

Outline

ElectronizationContinuous measurement & reportingContinuous assurance

Efforts and statutesConceptsCPAs

Enron ????Conclusions

Page 3: Continuous Assurance 101 Miklos A. Vasarhelyi AT&T Laboratories Rutgers University

[email protected]

http://raw.rutgers.edu/continuousauditing

Page 4: Continuous Assurance 101 Miklos A. Vasarhelyi AT&T Laboratories Rutgers University

Electronization of Business

Advertising

Pre-sale care

Sale

Delivery

Payment

Accounting

E-care

Auditing

Web advertisingCustomizationBanners

VRSAuto Responder

Web-based Cash register Shopping cartsClick pathsE-Catalog

Web-basedCredit cardE-cashMicropayments

ContinuousERPSsNew Paradigms

BitableNon-bitable

ContinuousAutomatic Confirmation

Inventory

Manufacturing

Tracking

E-Catalog

B2B PurchasingOpen EDIExtranetsConsortia

Tech supportLead FollowsHelp desk

Purchasing

Tracking

MarketingIndividual targetingSpamingVirtual communitiesCustomer party lines

LogisticsTracking

FinanceE-banking

E-hedging

E-Trading

HumanResources

Tracking

Page 5: Continuous Assurance 101 Miklos A. Vasarhelyi AT&T Laboratories Rutgers University

Key Financial processes being electronized

measurement (accounting),controlAssurance

evolving revolution in corporate financial processes and the financial industryseveral world class organizations are leading this effort

Page 6: Continuous Assurance 101 Miklos A. Vasarhelyi AT&T Laboratories Rutgers University

Continuous reporting

Page 7: Continuous Assurance 101 Miklos A. Vasarhelyi AT&T Laboratories Rutgers University

SEC roundtable of 4/4/2002

Priority no. 1: real-time reporting. Real-time reporting should take highestpriority. More frequent reporting of results will help solve the problem ofmanaged earnings because daily or weekly earnings will be harder to managethan quarterly earnings. SEC's proposal for faster reporting of some 8-Kitems is helpful, but it doesn't go far enough.

Page 8: Continuous Assurance 101 Miklos A. Vasarhelyi AT&T Laboratories Rutgers University

Short interval reporting

Cisco’s virtual closeReal balances of certain accounts

Cash, accounts receivable, accounts payable, inventoryEstimates / allocations

Behavioral changesEnd-of-period adjustmentsCompetitive fears

Scorecards (Bob Kaplan)

Page 9: Continuous Assurance 101 Miklos A. Vasarhelyi AT&T Laboratories Rutgers University

Increased frequency and scope of reporting

Obstacles are not technicalInternal vs external reportingLitigation fearsWho needs continuous reporting?Increased transparencyQualitative, environmental, social, and other reportingMulti-layered reporting (the FD rule)

Page 10: Continuous Assurance 101 Miklos A. Vasarhelyi AT&T Laboratories Rutgers University

Is Continuous Reporting Necessary for Continuous Assurance?

‘continuous’ measurement is necessary, but the time from is contingent on the processBatch process cycles limit the processCompanies measure a much wider set of variables to support a multitude of continuous processes

Page 11: Continuous Assurance 101 Miklos A. Vasarhelyi AT&T Laboratories Rutgers University

The Assurance Services (Eliott) Special Committee proposed an evolution of services towards “real-time” assurance

Real-time assurance on on-line databases

Systems Reliability

Assurance

Report on internal control

Tomorrow

Today

Ultimately

Page 12: Continuous Assurance 101 Miklos A. Vasarhelyi AT&T Laboratories Rutgers University

Continuous Assurance

Page 13: Continuous Assurance 101 Miklos A. Vasarhelyi AT&T Laboratories Rutgers University

History

CPAS effort and embedded modules (ITF) –1987AICPA /CICA monograph 1999Continuous systrust 2001Panel next ?????Much academic interest since 1999 (3 symposia, this year in the UK)

Page 14: Continuous Assurance 101 Miklos A. Vasarhelyi AT&T Laboratories Rutgers University

Current Practice

HCA HealthcareSeveral monitoring and auditing functions

Martin MariettaData driven risk model

Federal Reserve of New YorkNetwork Monitoring

Page 15: Continuous Assurance 101 Miklos A. Vasarhelyi AT&T Laboratories Rutgers University

Why not?

“my problems are not with transactions but with legal exposures and environmental effects”“this is not auditing, it is supervision”“this opens substantial data for the competition”

Page 16: Continuous Assurance 101 Miklos A. Vasarhelyi AT&T Laboratories Rutgers University

A Dramatic Change in the Audit model

1. The continuous assurance model has many clients2. The continuous assurance model has a different justification3. A new toolset4. The continuous assurance model is an instance of operational monitoring5. The continuous assurance model will turn the audit process into audit by exception6. The continuous assurance model covers a wider set of quantitative and qualitative non-financial data7. The continuous assurance model had different Independence considerations8. The continuous assurance opinion has some futurity implied in it

Page 17: Continuous Assurance 101 Miklos A. Vasarhelyi AT&T Laboratories Rutgers University

Pseudo report 1– We have examined the reliability and financial reports of

ABC corporation and have been engaged on a continuous assurance engagement for the fiscal year of xxxx. We will monitor the organization’s operations and strategic accomplishments using a wide set of analytics as described in http://www.ca.com/analytics and other analytics we deem appropriate and will report on an audit by exception basis when more than xx % variance is found in operational and strategic standards or when we deem it appropriate. This exception report will be issued to all customers registered ( paying ) at http://www.ca.com/analytics/customers.

Page 18: Continuous Assurance 101 Miklos A. Vasarhelyi AT&T Laboratories Rutgers University

CPAS concepts

metricsAnalytics / continuity equationsstandards:

of operationof varianceothers

alarmsmeasurement vs monitoring

Page 19: Continuous Assurance 101 Miklos A. Vasarhelyi AT&T Laboratories Rutgers University

CPAS conceptsThe essence of monitoring and control is the comparison of a measured value (metric) with a model of behavior (standard)Control of a process implies detecting variances and either accepting them or exerting action for changeAssurance is a meta-level for measurement, monitoring and control that detects anomalies in this process or provides re-enforcement of its proper performance

Page 20: Continuous Assurance 101 Miklos A. Vasarhelyi AT&T Laboratories Rutgers University

Monitoring, control and assurance

metrics

Comparison of actual and model

Management action on discrepancy

Feedback loop of action

Assurance processVerifies, the metrics and the control

MeasurableProcesses

Standard

Discrepancy detected

Page 21: Continuous Assurance 101 Miklos A. Vasarhelyi AT&T Laboratories Rutgers University

metricsAre direct measurement of elements that measure corporate processesCan be expressed in many types of units

A phone call has minutes, origination, dollars and modified dollars..Metrics also work in aggregates (e.g. bottles, cases, liters, tons, etc…)

Automated sensor substantially improve the value of a metricsMetrics can be combined to higher level meaning metricsManagers develop intuitive feeling for metrics

Page 22: Continuous Assurance 101 Miklos A. Vasarhelyi AT&T Laboratories Rutgers University

Analytics

Traditional analytics encompass time series and cross-sectional analyticsCA adds structural analytics provided by multivariate continuity equationsSome CA analytics include:

Comparisons with constantsRelationships of variablesDaily, hourly, continuous reconciliationsLoose relationships (e.g 10% increase in advertising creates 3% increase in sales)

Page 23: Continuous Assurance 101 Miklos A. Vasarhelyi AT&T Laboratories Rutgers University

standards:

Types• of operation• of variance• relationships • Others

Can be• empirically derived• model derived

Have to be realist

ic

Page 24: Continuous Assurance 101 Miklos A. Vasarhelyi AT&T Laboratories Rutgers University

Alarms

Multiple levels and purposesA. Inform continuous assurersB. Inform operationsC. Inform operations and auditorsD. Inform operations / auditors / top management / audit committee / regulatorsE. Suspend the processLevel

is an attr

ibute of th

e alarm

Page 25: Continuous Assurance 101 Miklos A. Vasarhelyi AT&T Laboratories Rutgers University

Methods of data capture

measurement vs monitoringDatabase queriesCapture of temporary datasetsParsing of electronic reportsDirect process taps programmed into the transaction routes

Page 26: Continuous Assurance 101 Miklos A. Vasarhelyi AT&T Laboratories Rutgers University

Principles of Continuity EquationsDifferent stages of the product life life have different metricsContinuity of processes creates relationships between different variablesMost processes have metrics being expressed in different units (volumes, dollars, units, etc…)There are intrinsic relationships between these values that can add substantively to basic analytical reviewStandards must be developed to these relationshipsThe understanding of these relationships will avoid major process discontinuities or will identify them for scrutiny

Page 27: Continuous Assurance 101 Miklos A. Vasarhelyi AT&T Laboratories Rutgers University

Continuity Equations / Long Distance Billing

Receiving Call

detail data from

independent

telephone

companies in

mag. tapes

Creating datasets

one-to-one

many-to-many

one-to-many'

Splitting call

detail into

files to be

posted to

different

billers

Posting from one

biller file to accounts

in several billing

cycles

1 2 3 4

Rating each

Billable

Customer

5

Linking financial and non financial processes analytically

Page 28: Continuous Assurance 101 Miklos A. Vasarhelyi AT&T Laboratories Rutgers University

CPAS effort (II)The auditor will place an increased level of reliance on the evaluation of flow data (while accounting operations are being performed) instead of evidence from related activities (e.g. preparedness audits). Audit work would be focused on audit by exception with the system gathering knowledge exceptions on a continuous basis.

Page 29: Continuous Assurance 101 Miklos A. Vasarhelyi AT&T Laboratories Rutgers University

CPAS OVERVIEW

System

OperationalReport

OperationalReport

OperationalReport

Filter

Database

System Operational Reports

Workstation

DF-level 0Alarm

Data Flow Diagrams

DF-level 1 DF-level 1 DF-level 1

DF-level 2

Reports Analytics Metrics

Page 30: Continuous Assurance 101 Miklos A. Vasarhelyi AT&T Laboratories Rutgers University

fer

FlowFront - Interactive Flow Diagram Viewer - AT&T Bell Laboratories - Murray Hill, NJ

Date: 04/01/89 Set Date Recalculate Metrics Recalculating With Check.

Help Text Quit!FlowFront Hierarchy

Overview

Pay

Inquiry

Billing

Bill Upda

AmtDue

Billing System - Customer Billing Module

Errors

Trans CustomerDatabase

ExtractCustomerAccounts

CalculateAmount

Due

Update Billing Info

Journal Files Format Bill Print Bill

Journal FilesAccountsMissing:

10 Table

Process Errors

1000 1000

998 988

2

0

Page 31: Continuous Assurance 101 Miklos A. Vasarhelyi AT&T Laboratories Rutgers University

AO

4

R

errors

Flowchart Front End - C.J. Calabrese, F.B. Halper, J.S. Lavin, T-W. Pao, M.A. Vasarhelyi, C.S.Warth

Date: 11/27/89 Set Date/RPC/PE Help Text Quit!

FlowFront Hierarchy

BAC cam

BAR cam

CAM

MPS cam

MIU cam

MFU.bar

CBill bar

MrgBal b

Bill Upd l

AsUse be

BillFmat

AccExtr

UBillDb

TCSS baj

BRICC b

RETURN

MSG VA

MSCOM

BNA mu

Toll.miu

Journals.n

UCase.m

MError.m

CCase.m

CError.m

MGDB n

RPC: SS PE: 60

recmsgmindol

MESSAGE PROCESSING

Duplicates andDropped Records Business

Biller

corrected errors LUB and to other billers

Interrogation/Deletion(to Billers)

RCAMBiller

LUB and to other billers

passed to message completion

errors

Can’t read sql 14 Can’t read sql 15

AT&TLECrejectheld

dropped(excl. invalid IX)

invalid IX code

Returns Transfers

Message CompletionMessage Validation

12324

238605

0

6

8 161

617

0

110668365

0

66449

89744

recycles

errors

MessageInvestigation

(MIU)

Page 32: Continuous Assurance 101 Miklos A. Vasarhelyi AT&T Laboratories Rutgers University

TransData

fer

FlowFront - Interactive Flow Diagram Viewer - AT&T Bell Laboratories - Murray Hill, NJ

Date:

RPC:

04/01/89

Silver Springs

Set Date Recalculate Metrics Plot Request graph.level 1

Help Text Quit!PE: 60

FlowFront Hierarchy

Overview

Pay

Billing

Inquiry

Errors

Bill Upda

AmtDue

Billing System - Overview

Percent Of Accounts Successfully Billed

S Graphics

Per

cent

Bil

led

0

20

40

6

0

80

100

10099 99 991009898 97

9598

67

23

85

3/16 3/17 3/18 3/21 3/22 3/23 3/24 3/25 3/28 3/29 3/30 3/31 4/1

Mean: 89.076923076923 StdDev: 21.872591442494

4/1/89Pro

Tra

fernsu

Page 33: Continuous Assurance 101 Miklos A. Vasarhelyi AT&T Laboratories Rutgers University

New technologies need new thinking

Internetworking and extreme intrusionConfirmatory extranetsAnalytic webs and fourth and fifth party assuranceIntelligent transaction detection

Sniffers, exposure databases, pattern detectors, common fraud databases

Page 34: Continuous Assurance 101 Miklos A. Vasarhelyi AT&T Laboratories Rutgers University

The Enron debacle

Would CA have detected the problem?Would have reduced itIf transparency is desired it can be obtained to the extreme• Other forms of third party monitoring can deal

with management fraud and audit collusion• Are we willing to go that far?

Financial engineering and opacity together are a deadly mix

Page 35: Continuous Assurance 101 Miklos A. Vasarhelyi AT&T Laboratories Rutgers University

Monitoring and Control Business at AT&T Laboratories

Page 36: Continuous Assurance 101 Miklos A. Vasarhelyi AT&T Laboratories Rutgers University

“Focus group” objectives

Understand the business models that can emerge from the CA effort

Keeping independence of CAPartnershipsChanging the audit paradigmBringing in new confidence on the processLinking with network and IT assurance

Page 37: Continuous Assurance 101 Miklos A. Vasarhelyi AT&T Laboratories Rutgers University

Center for Continuous Auditing

A consortium of major Universities led by Texas A&MJ. Don Warren DirectorWill probably host this conference next year

Page 38: Continuous Assurance 101 Miklos A. Vasarhelyi AT&T Laboratories Rutgers University

Charter Board of CCA Research FellowsArizona State University

Kurt Pany, Paul Steinbart

Indiana University Michael Groomer

Rutgers University Miklos Vasarhelyi, Alex Kogan, Michael

Alles

Texas A&M University James Flagg, Uday Murthy, Chris Wolfe

University of Tennessee Jake Rose, Jon Woodroof

The Center for Continuous Auditing:An Alliance of Arizona State University, Indiana University, Rutgers University, Texas A&M University and University of Tennessee

Page 39: Continuous Assurance 101 Miklos A. Vasarhelyi AT&T Laboratories Rutgers University

Center for Continuous Auditing (cont.)

in the process of finalizing the Advisory Board

The Honorable David Walker, USComptroller General, Robert Herdman, SEC Chief AccountantJim Gerson, Chair, Auditing Standards BoardBarry Melancon, President of AICPABob May, Dean, McCombs School of Business, The University of TexasJohn Verver,Vice-President of ACLSander Wechsler, ISACA 

Page 40: Continuous Assurance 101 Miklos A. Vasarhelyi AT&T Laboratories Rutgers University

Conclusions

Need to re-think third party assurance wit focus on the clientNeed to rethink the audit to use new technology (analytic, IT and TC)More links are needed with XML derivative technologiesWe need a new business model

Page 41: Continuous Assurance 101 Miklos A. Vasarhelyi AT&T Laboratories Rutgers University