Transforming Internal Audit- Maturity Model From Data Analytics to Continuous Assurance

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Transcript of Transforming Internal Audit- Maturity Model From Data Analytics to Continuous Assurance

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info

rmat

ion

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ss t

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umst

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par

ticu

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idua

l or e

ntit

y. A

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rmat

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ssm

ent f

or d

ynam

ic a

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ning

and

con

tinuo

us

audi

ting,

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ase

cont

act:

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tley

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AD

VIS

OR

Y S

ER

VIC

ES

Tran

sfo

rmin

g In

tern

al A

ud

it:

A M

atur

ity M

odel

from

Dat

a A

naly

tics

toC

ontin

uous

Ass

uran

ce

kpm

g.c

om

Co

nte

nts

Exec

utiv

e su

mm

ary

1

Mak

ing

the

jour

ney

2

The

valu

e of

iden

tify

ing

mat

urit

y le

vels

4

Inte

rnal

aud

it d

ata

anal

ytic

s an

dco

ntin

uous

aud

itin

g m

atur

ity

mod

el

5

Inte

rnal

aud

it p

lan

deve

lopm

ent

at v

ario

us m

atur

ity

leve

ls

6

Exec

utio

n an

d re

port

ing

at v

ario

us m

atur

ity

leve

ls

9

Cha

lleng

es

12

Con

clus

ion

13

The

Mat

urity

Mod

el |

13

Man

y in

tern

al a

udit

depa

rtm

ents

are

thin

king

abo

ut d

ata

anal

ytic

s-en

able

d au

ditin

g an

d co

ntin

uous

aud

iting

pro

cess

es s

tric

tly fr

om a

tact

ical

app

roac

h w

hile

not

co

nsid

erin

g th

e ad

vant

ages

cre

ated

thro

ugh

the

inte

grat

ion

of d

ata

anal

ytic

s an

d co

ntin

uous

aud

iting

thro

ugho

ut a

n in

tern

al a

udit

met

hodo

logy

. How

ever

, the

re a

re

trem

endo

us b

enef

its to

be

real

ized

by

thin

king

mor

e st

rate

gica

lly a

nd tr

ansf

orm

ing

how

inte

rnal

aud

it de

part

men

ts p

lan

and

exec

ute

audi

ts th

roug

h th

e us

e of

repe

atab

le

and

sust

aina

ble

data

ana

lytic

s-en

able

d au

ditin

g; q

uant

itativ

e-ba

sed

cont

inuo

us ri

sk

asse

ssm

ent f

or d

ynam

ic a

udit

plan

ning

; and

con

tinuo

us a

uditi

ng. T

his

tran

sfor

mat

ion

requ

ires

mor

e th

an ju

st d

evel

opin

g te

chni

cal c

apab

ilitie

s to

per

form

dat

a an

alyt

ics.

It

invo

lves

reev

alua

ting

and,

whe

re n

eces

sary

, mod

ifyin

g th

e in

tern

al a

udit

met

hodo

logy

bei

ng u

sed

by th

e en

tire

inte

rnal

aud

it de

part

men

t to

crea

te a

str

ateg

ic

appr

oach

to im

plem

ent,

sus

tain

, and

exp

and

data

ana

lytic

s-en

able

d au

ditin

g an

d ot

her r

elat

ed in

itiat

ives

suc

h as

con

tinuo

us a

uditi

ng, c

ontin

uous

mon

itorin

g, a

nd e

ven

cont

inuo

us a

ssur

ance

. Fin

ally

, acc

epta

nce

and

supp

ort f

rom

man

agem

ent a

nd k

ey

busi

ness

sta

keho

lder

s is

crit

ical

to e

nsur

ing

that

inte

rnal

aud

it’s

tran

sfor

mat

ion

effo

rts

rem

ain

rele

vant

and

val

uabl

e to

the

busi

ness

.

Co

ncl

usi

on

12 |

The

Mat

urity

Mod

el

Eac

h le

vel o

f mat

urity

con

tain

s its

ow

n se

t of c

halle

nges

. Som

e m

ay b

e m

ore

pred

icta

ble

than

oth

ers,

but

it’s

crit

ical

to re

cogn

ize

the

diff

icul

ties

expe

rienc

ed

by o

ther

s to

app

ropr

iate

ly p

repa

re a

nd a

void

them

. Som

e ty

pica

l pitf

alls

that

may

de

rail

data

ana

lytic

s-en

able

d au

ditin

g an

d co

ntin

uous

aud

iting

initi

ativ

es in

clud

e th

e fo

llow

ing:

Gen

eral

• D

eter

min

ing

and

esta

blis

hing

con

sens

us o

n ob

ject

ives

and

suc

cess

crit

eria

.

• M

easu

ring

and

dem

onst

ratin

g su

cces

s.

• Li

mite

d re

sour

ces

(tec

hnol

ogy

and

hum

an k

now

how

).

Dat

a A

vaila

bili

ty a

nd

Qu

alit

y •

Lack

of a

cces

s to

dat

a

• D

ispa

rate

info

rmat

ion

syst

ems

with

diff

eren

t dat

a fo

rmat

s.

• In

com

plet

e da

ta s

ets,

inco

nsis

tent

dat

a qu

ality

.

• D

ata

priv

acy/

secu

rity

issu

es to

nav

igat

e.

Dat

a A

nal

ytic

s•

Inab

ility

to e

ffect

ivel

y le

vera

ge d

ata

anal

ytic

s to

ach

ieve

aud

it ob

ject

ives

.

• D

efin

ition

of “

exce

ptio

n;”

addr

essi

ng “

fals

e po

sitiv

es”

and

“fal

se n

egat

ives

”.

• W

orkf

low

aro

und

exce

ptio

n re

solu

tion;

man

agin

g vo

lum

es o

f exc

eptio

ns.

Ch

ange

Man

agem

ent

• M

anag

ing

impa

ct o

f dat

a an

alyt

ics,

con

tinuo

us a

uditi

ng, a

nd c

ontin

uous

m

onito

ring

proc

esse

s on

aud

itors

and

bus

ines

s pr

oces

s ow

ners

.

Ch

alle

nge

s

The

Mat

urity

Mod

el |

1

If y

ou’re

trav

elin

g do

wn

a pa

th th

at n

ever

reac

hes

its d

estin

atio

n, w

ould

you

sta

y on

th

e sa

me

path

or w

ould

you

try

a di

ffere

nt a

ppro

ach?

It’s

a q

uest

ion

wor

th a

skin

g,

espe

cial

ly w

hen

it co

mes

to d

ata

anal

ytic

s-en

able

d au

ditin

g.

Alth

ough

the

bene

fits

of d

ata

anal

ytic

s-en

able

d au

ditin

g ar

e w

ell k

now

n, m

any

orga

niza

tions

hav

e be

en

unab

le to

real

ize

them

. The

prim

ary

reas

ons

may

lie

in th

eir a

ppro

ach.

Mos

t org

aniz

atio

ns ta

ke a

tact

ical

and

te

chni

cal’

appr

oach

tow

ard

leve

ragi

ng d

ata

anal

ytic

s in

pla

nnin

g an

d ex

ecut

ing

audi

ts. T

his

incl

udes

buy

ing

soph

istic

ated

sof

twar

e to

ols

and

hirin

g sp

ecia

lists

to ru

n an

alyt

ics

and

expe

ctin

g th

at to

be

suff

icie

nt to

ac

hiev

e da

ta a

naly

tics-

enab

led

audi

ting

acro

ss th

eir a

udit

univ

erse

. But

to b

e tr

uly

effe

ctiv

e an

d su

stai

nabl

e,

data

ana

lytic

s-en

able

d au

ditin

g re

quire

s m

ore

than

pro

ceed

ing

with

bus

ines

s-as

-usu

al a

nd a

ddin

g so

me

tact

ical

and

tech

nica

l dat

a an

alyt

ic c

apab

ilitie

s.

Whi

le te

chni

cal s

kills

and

tool

s ar

e su

rely

impo

rtan

t to

the

proc

ess,

org

aniz

atio

ns n

eed

to ta

ke a

mor

e st

rate

gic

appr

oach

to im

plem

ent,

sus

tain

, and

exp

and

data

ana

lytic

s-en

able

d au

ditin

g. T

his

may

requ

ire

tran

sfor

min

g th

e w

ay y

ou p

lan,

exe

cute

, and

repo

rt a

udits

, inc

ludi

ng y

our r

elat

ions

hips

with

bus

ines

s st

akeh

olde

rs. T

he k

ey is

to fo

cus

on y

our a

udit

met

hodo

logy

, or a

ppro

ach,

not

just

you

r tec

hnic

al c

apab

ilitie

s.

This

pap

er p

rovi

des

a m

ulti-

dim

ensi

onal

refe

renc

e m

odel

to il

lust

rate

how

to ta

ke a

tran

sfor

mat

ive

appr

oach

to

war

d au

dit p

lann

ing

and

exec

utio

n in

ord

er to

impl

emen

t sus

tain

able

dat

a an

alyt

ics-

enab

led

audi

ting.

In

the

exam

ples

pro

vide

d, w

e’ve

mod

ified

a tr

aditi

onal

inte

rnal

aud

it m

etho

dolo

gy b

y in

tegr

atin

g an

alyt

ics

and

high

light

ing

char

acte

ristic

s th

roug

hout

eac

h ph

ase.

Thi

s ca

n he

lp s

erve

as

a re

fere

nce

on h

ow a

nd

whe

re y

ou c

an m

odify

you

r int

erna

l aud

it m

etho

dolo

gy. W

e’ve

then

take

n it

a st

ep fu

rthe

r by

appl

ying

a

mat

urity

mod

el a

s an

ove

rlay

to th

e m

etho

dolo

gy.

The

mat

urity

mod

el, s

een

thro

ugh

the

lens

of a

n in

tern

al a

udit

met

hodo

logy

, is

desi

gned

to il

lust

rate

th

at th

ere

are

man

y da

ta a

naly

tics-

enab

led

audi

ting

char

acte

ristic

s ac

ross

our

five

pha

ses

of a

n au

dit

met

hodo

logy

at e

ach

of th

e fiv

e pr

opos

ed m

atur

ity le

vels

. As

you

will

see

in th

e fo

llow

ing

page

s, th

e m

atur

ity m

odel

ser

ves

as a

refe

renc

e to

hig

hlig

ht s

peci

fic d

ata

anal

ytic

s-en

able

d au

ditin

g ch

arac

teris

tics

from

a v

ery

basi

c le

vel o

f mat

urity

thro

ugh

a ve

ry m

atur

e le

vel f

or e

ach

phas

e of

the

audi

t met

hodo

logy

. K

now

ing

thes

e ch

arac

teris

tics

may

ass

ist y

ou o

n yo

ur jo

urne

y to

tran

sfor

m y

our a

udit

met

hodo

logy

, or

appr

oach

, to

incl

ude

data

ana

lytic

s in

ord

er to

reac

h yo

ur d

esire

d ul

timat

e in

tern

al a

udit

dest

inat

ion.

Exe

cuti

ve s

um

mar

y

2 | T

he M

atur

ity M

odel

Doe

s yo

ur in

tern

al a

udit

appr

oach

add

val

ue to

sen

ior m

anag

emen

t’s v

iew

of b

usin

ess

risk

and

stra

tegi

c go

als?

Wha

t rol

e do

es in

tern

al a

udit

play

in th

e as

sess

men

t of r

isks

that

dire

ctly

impa

ct y

our o

rgan

izat

ion’

s ab

ility

to a

chie

ve it

s st

rate

gic

goal

s? Is

the

inte

rnal

aud

it de

part

men

t a p

artn

er in

dev

elop

ing

the

stra

tegi

c pr

iorit

ies

and

visi

on o

f the

com

pany

? D

oes

inte

rnal

aud

it’s

met

hodo

logy

effe

ctiv

ely

leve

rage

dat

a an

alyt

ics

in o

rder

to c

ontin

ually

ass

ess

the

risks

that

wou

ld in

hibi

t the

ach

ieve

men

t of t

he o

rgan

izat

ion’

s st

rate

gic

goal

s? R

egar

ding

the

risks

iden

tifie

d, h

ow d

oes

your

app

roac

h de

term

ine

how

aud

its a

re id

entif

ied,

pla

nned

an

d ex

ecut

ed?

If th

e an

swer

s to

thes

e qu

estio

ns a

re u

ncle

ar w

ithin

you

r int

erna

l aud

it de

part

men

t, y

ou’re

ce

rtai

nly

not a

lone

.

The

cont

inuo

us a

ssur

ance

of e

nter

pris

e ris

k m

anag

emen

t1 (as

not

ed in

Mat

urity

Lev

el V

in th

e ch

art b

elow

) is

an

ambi

tious

goa

l for

inte

rnal

aud

it de

part

men

ts, m

any

of w

hich

are

stil

l see

king

to a

chie

ve a

sta

te o

f in

tegr

ated

or s

usta

ined

dat

a an

alyt

ics,

con

tinuo

us ri

sk a

sses

smen

t and

con

tinuo

us a

uditi

ng p

roce

sses

. Tru

th

be to

ld, r

epea

tabl

e an

d su

stai

nabl

e da

ta a

naly

tics

and

cont

inuo

us a

uditi

ng p

roce

sses

rem

ain

a to

p go

al fo

r m

any

inte

rnal

aud

it de

part

men

ts a

nd s

enio

r man

agem

ent,

but

mos

t org

aniz

atio

ns a

re s

till i

n th

eir i

nfan

cy o

r pl

anni

ng s

tage

s w

hen

it co

mes

to a

ctua

l exe

cutio

n.

As

inte

rnal

aud

it de

part

men

ts s

eek

to a

dvan

ce th

eir a

ppro

ach,

the

use

of a

mat

urity

mod

el c

an h

elp

benc

hmar

k th

e de

part

men

t, u

sing

a fe

w b

asic

cha

ract

eris

tics

(an

exam

ple

of w

hich

can

be

foun

d on

pag

e 6)

, to

pro

vide

a c

lear

pat

h to

war

d ac

hiev

ing

data

ana

lytic

s-en

able

d in

tern

al a

uditi

ng, c

ontin

uous

aud

iting

, and

be

yond

. Roo

ted

in a

n in

tern

al a

udit

met

hodo

logy

, the

mat

urity

mod

el s

erve

s as

a g

uide

alo

ng th

e jo

urne

y fr

om tr

aditi

onal

inte

rnal

aud

it m

odel

s to

war

d m

ore

mat

ure

leve

ls o

f con

tinuo

us a

uditi

ng, a

nd th

roug

h to

the

cont

inuo

us a

ssur

ance

of e

nter

pris

e ris

k m

anag

emen

t – a

n ul

timat

e go

al o

f int

erna

l aud

it, a

s w

ell a

s, m

ost

ente

rpris

es a

nd th

eir e

xecu

tive

man

agem

ent.

A k

ey fi

rst s

tep

with

in th

e m

atur

ity m

odel

is th

e su

cces

sful

in

tegr

atio

n of

dat

a an

alyt

ics.

Mak

ing

th

e jo

urn

ey

1 C

ontin

uous

Ass

uran

ce is

a p

rogr

essi

ve s

hift

in a

udit

prac

tices

tow

ards

the

max

imum

pos

sibl

e de

gree

of a

udit

auto

mat

ion

as a

way

of t

akin

g ad

vant

age

of th

e te

chno

logi

cal b

asis

of t

he m

oder

n en

tity

in o

rder

to re

duce

aud

it co

sts

and

incr

ease

aud

it au

tom

atio

n. G

iven

the

emph

asis

on

the

tran

sfor

mat

ion

of th

e en

tire

syst

em o

f aud

iting

, th

e de

velo

pmen

t of C

ontin

uous

Ass

uran

ce re

quire

s a

fund

amen

tal r

ethi

nk o

f all

aspe

cts

of a

uditi

ng, f

rom

the

way

in

whi

ch d

ata

is m

ade

avai

labl

e to

the

audi

tor,

to th

e ki

nds

of te

sts

the

audi

tor c

ondu

cts,

how

abn

orm

aliti

es a

re

deal

t with

, wha

t kin

ds o

f rep

orts

are

issu

ed, h

ow o

ften

and

to w

hom

they

are

issu

ed, a

nd m

any

othe

r fac

tors

, the

im

port

ance

of s

ome

of w

hich

will

onl

y be

com

e ap

pare

nt a

s C

ontin

uous

Ass

uran

ce is

impl

emen

ted.

“Con

tinuo

us A

ssur

ance

for t

he N

ow E

cono

my”

, Rut

gers

Bus

ines

s S

choo

l, Fe

brua

ry 2

010.

An

ove

rvie

w o

f mat

uri

ty le

vels

The

mat

urity

mod

el b

elow

repr

esen

ts th

e st

ages

of m

atur

ity fr

om th

e le

ast m

atur

e st

ate

of tr

aditi

onal

au

ditin

g th

roug

h to

the

mos

t mat

ure

stat

e of

con

tinuo

us a

ssur

ance

of e

nter

pris

e ris

k m

anag

emen

t.

Leas

t M

atu

reM

ost

Mat

ure

Trad

ition

alA

uditi

ng

Ad

Hoc

Inte

grat

edA

naly

tics

Con

tinuo

us R

isk

Ass

essm

ent &

Con

tinuo

usA

uditi

ng

Inte

grat

ed

Con

tinuo

usA

uditi

ng &

C

ontin

uous

M

onito

ring

Con

tinuo

us

Ass

uran

ce o

f En

terp

rise

Ris

kM

anag

emen

t

Mat

uri

tyLe

vel V

Mat

uri

tyLe

vel I

VM

atu

rity

Leve

l III

Mat

uri

tyLe

vel I

IM

atu

rity

Leve

l I

The

Mat

urity

Mod

el |

11

Inte

rnal

aud

it ca

n th

en le

vera

ge th

e an

alyt

ics

and

mon

itorin

g pe

rfor

med

by

the

busi

ness

and

dat

a qu

ality

is

regu

larly

val

idat

ed. A

utom

ated

aud

iting

tech

niqu

es a

chie

ve s

ever

al a

udit

obje

ctiv

es b

ased

on

“exc

eptio

n”

audi

ting.

This

type

of a

uditi

ng is

per

form

ed o

n a

cont

inuo

us b

asis

rath

er th

an o

nly

whe

n an

aud

it is

sch

edul

ed.

Thes

e au

dit p

rogr

ams

allo

w in

tern

al a

udit

to g

ain

incr

easi

ng e

ffici

enci

es a

nd to

exp

and

audi

t cov

erag

e. Th

e au

dit

team

inte

rpre

ts, a

naly

zes,

and

cha

lleng

es th

e re

sults

of t

he a

naly

tics.

The

root

cau

se is

inve

stig

ated

thro

ugh

the

data

and

ver

ified

by

man

agem

ent t

hrou

gh in

quiry

and

the

exce

ptio

ns a

nd re

sults

are

ver

ified

by

the

busi

ness

pr

oces

s ow

ners

.

Exe

cuti

on

an

d R

epo

rtin

g a

t M

atu

rity

Lev

el

VTh

e ne

xt m

atur

ity le

vel,

whi

ch c

an b

e vi

ewed

as

the

ultim

ate

obje

ctiv

e of

inte

rnal

aud

it or

gani

zatio

ns, i

s th

e co

ntin

uous

ass

uran

ce o

f ent

erpr

ise

risk

man

agem

ent (

Mat

urity

Lev

el V

). Th

e ex

ecut

ion

and

repo

rtin

g m

etho

dolo

gy p

hase

at t

his

leve

l inc

lude

s pr

ojec

t pla

nnin

g in

whi

ch b

usin

ess

mon

itorin

g an

d au

dit’s

pro

cedu

res

rely

on

the

sam

e pr

oces

ses,

tech

nolo

gy, d

ata

and

info

rmat

ion.

The

aud

itor p

erfo

rms

proc

edur

es v

erify

ing

the

unde

rlyin

g da

ta a

naly

tics

and

repo

rtin

g ar

e al

igne

d w

ith th

e st

rate

gic

obje

ctiv

es.

The

audi

t sco

pe is

flui

d, fo

cusi

ng o

n ro

ot c

ause

ana

lysi

s an

d m

anag

emen

t’s

effe

ctiv

enes

s at

mon

itorin

g an

d re

spon

ding

to ri

sks.

Con

tinui

ng to

look

at p

roce

ss a

naly

sis

as a

n ex

ampl

e, a

t thi

s m

atur

ity le

vel,

proc

ess

anal

ysis

invo

lves

dat

a an

alyt

ics

that

are

exe

cute

d by

the

ente

rpris

e’s

syst

ems

to c

ontin

uous

ly v

erify

that

cer

tain

risk

tole

ranc

es a

re n

ot e

xcee

ded.

Th

is le

vel o

f mat

urity

is c

hara

cter

ized

by

a m

ore

expa

nsiv

e an

d co

nsis

tent

us

e of

adv

ance

d an

alyt

ics

incl

udin

g pr

edic

tive

and

pres

crip

tive

anal

ytic

s.

The

busi

ness

risk

s ar

e re

conc

iled

to th

e en

tity

leve

l key

str

ateg

ic ri

sks

on

a co

ntin

uous

bas

is. A

tech

nolo

gy-e

nabl

ed p

roce

ss a

naly

zes

inte

rnal

and

ex

tern

al q

uant

itativ

e an

d qu

alita

tive

data

suc

h as

com

petit

ive

land

scap

e in

form

atio

n, n

ew re

gula

tions

, eco

nom

ic tr

ends

, etc

., an

d de

tect

s an

y ris

ks th

at m

ay im

pede

the

achi

evem

ent o

f the

org

aniz

atio

n’s

stra

tegi

c go

als.

Dat

a tr

endi

ng in

form

atio

n fo

r cer

tain

key

pro

cess

es a

nd

cont

rols

are

ava

ilabl

e to

sen

ior l

evel

man

agem

ent a

nd e

nhan

ced

and

dyna

mic

repo

rtin

g of

resu

lts a

re a

vaila

ble

for m

anag

emen

t’s a

nd

inte

rnal

aud

it’s

revi

ew a

nd re

spon

se.

At t

his

final

mat

urity

leve

l, au

tom

ated

aud

iting

is u

sed

and

is

focu

sed

on m

anag

emen

t’s re

spon

ses

to b

usin

ess

anom

alie

s an

d tr

igge

r eve

nts.

Inte

rnal

aud

it ve

rifie

s th

e re

conc

iliat

ion

of th

e bu

sine

ss’ m

onito

ring

of p

roce

ss ri

sks

and

cont

rols

w

ith th

e en

tity’

s st

rate

gic

leve

l ris

ks o

n a

cont

inuo

us b

asis

. Se

nior

Man

agem

ent p

rovi

des

insi

ghts

to o

rgan

izat

iona

l and

pe

ople

man

agem

ent b

y in

terp

retin

g an

d an

alyz

ing

the

resu

lts.

Roo

t cau

se in

vest

igat

ions

and

reco

mm

enda

tions

focu

s on

man

agem

ent p

roce

ss im

prov

emen

ts a

nd e

xcep

tions

an

d re

sults

are

dis

cuss

ed a

nd v

erifi

ed b

y th

e bu

sine

ss

proc

ess

owne

rs.

10 |

The

Mat

urity

Mod

el

Exe

cuti

on

an

d R

epo

rtin

g a

t M

atu

rity

Lev

els

I a

nd

II

This

pha

se o

f an

inte

rnal

aud

it m

etho

dolo

gy is

focu

sed

on th

e id

entif

icat

ion

and

com

mun

icat

ion

of

findi

ngs

and

perf

orm

ance

impr

ovem

ent o

ppor

tuni

ties

usin

g fo

rmal

doc

umen

tatio

n an

d m

eetin

gs w

ith

vario

us c

onst

ituen

t gro

ups

such

as

the

audi

t com

mitt

ee, s

enio

r man

agem

ent,

pro

cess

ow

ners

, and

oth

er

stak

ehol

ders

to c

omm

unic

ate

the

resu

lts o

f the

inte

rnal

aud

it w

ork.

Thi

s dr

ives

cha

nge

that

con

trib

ute

to th

e ac

hiev

emen

t of t

he e

nter

pris

e’s

stra

tegi

c an

d bu

sine

ss o

bjec

tives

. Dur

ing

the

exec

utio

n an

d re

port

ing

phas

e, a

udito

rs ty

pica

lly re

view

fina

ncia

l sta

tem

ents

, man

agem

ent r

epor

ting,

prio

r aud

it re

port

s,

perf

orm

ance

and

risk

indi

cato

rs a

ffect

ed b

y th

e pr

oces

s to

gai

n an

und

erst

andi

ng o

f the

bus

ines

s pr

oces

s.

In tr

aditi

onal

aud

iting

(Mat

urity

Lev

el I)

, dat

a an

alyt

ics

are

gene

rally

not

util

ized

to d

rive

the

exec

utio

n of

th

e au

dit p

lan.

In M

atur

ity L

evel

II, a

d ho

c da

ta a

naly

tics

help

to id

entif

y ou

tlier

tran

sact

ions

and

focu

s au

dit

scop

e. T

he a

naly

tics

are

desc

riptiv

e in

nat

ure

and

thei

r res

ults

gui

de th

e w

alkt

hrou

gh p

roce

dure

s fo

cusi

ng

on id

entif

ied

gaps

, and

the

prio

ritiz

atio

n of

the

mea

sure

and

ana

lyze

pro

cedu

res.

Exe

cuti

on

an

d R

epo

rtin

g a

t M

atu

rity

Lev

el I

IIE

xecu

tion

and

repo

rtin

g at

the

cont

inuo

us ri

sk a

sses

smen

t and

con

tinuo

us a

uditi

ng m

atur

ity le

vel

(Mat

urity

Lev

el II

I) w

ould

incl

ude

key

busi

ness

pro

cess

es w

ith a

utom

ated

ana

lytic

s ge

nera

ted

for

the

audi

tor d

urin

g pl

anni

ng in

ord

er to

sco

pe a

nd fo

cus

audi

t eff

orts

.

As

part

of t

he e

xecu

tion

and

repo

rtin

g m

etho

dolo

gy p

hase

, int

erna

l aud

it ac

tivel

y re

view

s pe

rfor

man

ce a

nd ri

sk

indi

cato

rs, b

ench

mar

k co

mpa

rison

s an

d ex

tern

al in

form

atio

n. D

ata

is re

adily

ava

ilabl

e, a

naly

tics

are

desc

riptiv

e,

diag

nost

ic, a

nd e

ven

som

e pr

edic

tive

with

som

e an

alyt

ics

bein

g pr

e-pa

ckag

ed. T

he a

naly

tic re

sults

focu

s th

e w

alkt

hrou

gh p

roce

dure

s an

d th

e pr

iorit

izat

ion

of m

easu

re a

nd a

naly

ze p

roce

dure

s. In

tern

al a

udit

utili

zes

data

an

alyt

ics-

enab

led

audi

t pro

gram

s to

exp

and

audi

t cov

erag

e an

d im

prov

e au

ditin

g ef

ficie

ncy

and

effe

ctiv

enes

s.

Mos

t dat

a is

read

ily a

vaila

ble

to th

e au

dito

r and

is v

alid

ated

dur

ing

audi

t exe

cutio

n. R

oot c

ause

is in

vest

igat

ed

thro

ugh

the

data

and

ver

ified

by

inqu

iry. T

he d

ata

and

resu

lts a

re a

vaila

ble

and

verif

ied

by th

e bu

sine

ss

proc

ess

owne

rs.

Exe

cuti

on

an

d R

epo

rtin

g a

t M

atu

rity

Lev

el I

VIn

Mat

urity

Lev

el IV

(int

egra

ted

cont

inuo

us a

uditi

ng a

nd c

ontin

uous

mon

itorin

g), t

he b

usin

ess

proc

ess

owne

rs m

onito

r per

form

ance

and

risk

indi

cato

rs fo

r the

bus

ines

s pr

oces

ses

durin

g pr

ojec

t pla

nnin

g.

The

audi

t tea

m le

vera

ges

the

busi

ness

’ mon

itorin

g an

d pe

rfor

ms

inde

pend

ent a

naly

ses

on th

e m

onito

ring

outp

ut to

iden

tify

tren

ds a

nd p

riorit

ize

area

s to

focu

s au

dit e

ffort

s.

Inte

rnal

aud

it is

now

con

nect

ed to

the

sam

e da

ta a

nd re

port

ing

as m

anag

emen

t. In

tern

al a

udit

asse

sses

th

e da

ta q

ualit

y an

d th

e an

alyt

ics

mon

itore

d by

the

busi

ness

. Con

tinui

ng w

ith th

e pr

oces

s an

alys

is a

rea

of th

e ex

ecut

ion

and

repo

rtin

g ph

ase

as a

n ex

ampl

e, in

tern

al a

udit

perf

orm

s an

alys

es o

f the

resu

lts

from

man

agem

ent’s

mon

itorin

g pr

oces

s to

gai

n an

und

erst

andi

ng o

f how

wel

l ris

ks a

re m

onito

red

and

cont

rolle

d. S

yste

m e

vent

logs

and

pro

cess

seq

uenc

ing

are

anal

yzed

. In

addi

tion

to d

escr

iptiv

e an

d di

agno

stic

ana

lytic

s, p

redi

ctiv

e an

alyt

ics

may

be

used

mor

e ex

tens

ivel

y, p

resc

riptiv

e an

alyt

ics

may

be

intr

oduc

ed, a

nd th

e an

alyt

ics

may

be

prog

ram

med

or e

ven

auto

mat

ed. (

see

side

bar o

n pa

ge x

x)

The

anal

ytic

resu

lts g

uide

wal

kthr

ough

pro

cedu

res

and

the

prio

ritiz

atio

n of

the

mea

sure

and

an

alyz

e pr

oced

ures

.

Whi

le m

any

inte

rnal

aud

it de

part

men

ts m

ay h

ave

alre

ady

adde

d th

e us

e of

dat

a an

alyt

ics

in th

e pl

anni

ng,

scop

ing,

and

exe

cutio

n of

aud

its, m

any

have

don

e so

in a

n ad

hoc

fash

ion

– us

ing

one

or tw

o te

chni

cal

reso

urce

s fo

r one

or m

ore

isol

ated

are

as o

f aud

it fo

cus.

As

a re

sult,

thes

e in

tern

al a

udit

depa

rtm

ents

are

ju

st s

kim

min

g th

e su

rfac

e an

d ar

e un

deru

tiliz

ing

the

full

pote

ntia

l of d

ata

anal

ytic

s by

faili

ng to

radi

ate

this

po

wer

ful c

apab

ility

acr

oss

thei

r dep

artm

ents

and

thei

r aud

it un

iver

se.

Her

e lie

s th

e fu

ndam

enta

l pro

blem

. Mos

t org

aniz

atio

ns h

ave

not c

onsi

dere

d th

e us

e of

dat

a an

alyt

ics

or

cont

inuo

us a

uditi

ng in

rela

tion

to th

e de

part

men

t’s in

tern

al a

udit

met

hodo

logy

, inc

ludi

ng a

tran

sfor

mat

ion

of h

ow a

udits

are

pla

nned

, exe

cute

d, a

nd re

port

ed. F

or e

xam

ple,

mos

t int

erna

l aud

it m

etho

dolo

gies

do

not

conn

ect o

r int

egra

te th

e us

e of

dat

a an

alyt

ics

or c

ontin

uous

aud

iting

thro

ugho

ut th

e va

rious

pha

ses

of a

n au

dit c

ycle

. Hen

ce, d

ata

anal

ytic

s be

com

es m

ore

of a

bol

t-on

activ

ity, w

hich

dep

artm

ents

try

to s

usta

in b

y bu

ildin

g a

”tec

hnic

al”

capa

bilit

y, ra

ther

than

a s

trat

egic

ena

bler

inte

grat

ed in

to th

e fa

bric

of t

he a

udit

proc

ess.

By

not i

nteg

ratin

g da

ta a

naly

tics

with

in th

e in

tern

al a

udit

proc

ess

to g

uide

the

depa

rtm

ent i

n pl

anni

ng a

nd

exec

utin

g au

dits

, int

erna

l aud

it de

part

men

ts s

trug

gle

with

impl

emen

ting

the

use

of d

ata

anal

ytic

s. E

ven

if th

ey h

ave

impl

emen

ted

its u

se, t

hose

sam

e de

part

men

ts h

ave

stru

ggle

d w

ith e

xpan

ding

its

use

beyo

nd o

ne

or tw

o re

sour

ces,

bey

ond

one

or tw

o au

dit a

reas

, or b

eyon

d us

e on

an

infr

eque

nt b

asis

. Fur

ther

, whe

n its

us

e is

con

cent

rate

d w

ith o

ne o

r tw

o ke

y re

sour

ces,

and

thos

e re

sour

ces

leav

e th

e de

part

men

t, u

se o

f dat

a an

alyt

ics

freq

uent

ly s

tops

. Con

sequ

ently

, the

resu

lts g

ener

ated

from

trad

ition

al a

d ho

c an

alyt

ics

ultim

atel

y do

not

hav

e a

sign

ifica

nt im

pact

on

the

depa

rtm

ents

’ aud

it ap

proa

ch b

ecau

se o

f thi

s la

ck o

f int

egra

tion

into

th

e ov

eral

l aud

it pr

oces

s.

As

a re

sult,

ther

e co

ntin

ues

to b

e a

barr

ier i

n th

e w

ay th

at in

tern

al a

udit

depa

rtm

ents

are

leve

ragi

ng

data

ana

lytic

s, w

hich

can

be

over

com

e by

fund

amen

tally

tran

sfor

min

g th

e au

dit p

roce

ss v

ia a

new

aud

it ap

proa

ch, o

r met

hodo

logy

. A m

atur

ity p

ath

may

hel

p to

effe

ctiv

ely

initi

ate

and

adva

nce

the

use

of d

ata

anal

ytic

s an

d co

ntin

uous

aud

iting

.

By

star

ting

with

the

phas

es o

f a c

omm

on in

tern

al a

udit

met

hodo

logy

and

iden

tifyi

ng th

e ch

arac

teris

tics

at

diffe

rent

leve

ls o

f mat

urity

, an

orga

niza

tion

can

iden

tify

logi

cal i

nteg

ratio

n po

ints

for r

epea

tabl

e an

d su

stai

nabl

e da

ta a

naly

tics,

con

tinuo

us a

uditi

ng, a

nd o

ther

rela

ted

initi

ativ

es. T

he re

sult

is a

new

inte

rnal

aud

it m

etho

dolo

gy

adap

ted

to re

pres

ent d

ata

anal

ytic

s-en

able

d in

tern

al a

uditi

ng a

t eac

h ph

ase

of th

e au

dit p

roce

ss.

By

star

tin

g w

ith

th

e p

has

es o

f a c

om

mo

n

inte

rnal

au

dit

met

ho

do

logy

an

d id

enti

fyin

g

the

char

acte

rist

ics

at d

iffer

ent

leve

ls o

f m

atu

rity

, an

org

aniz

atio

n c

an id

enti

fy

log

ical

inte

gra

tio

n p

oin

ts fo

r re

pea

tab

le

and

su

stai

nab

le d

ata

anal

ytic

s, c

on

tin

uo

us

aud

itin

g, a

nd

oth

er r

elat

ed in

itia

tive

s.

4 | T

he M

atur

ity M

odel

Th

e va

lue

of i

den

tify

ing

mat

uri

ty le

vels

The

first

ste

p on

you

r tra

nsfo

rmat

ion

jour

ney

tow

ard

achi

evin

g da

ta a

naly

tics-

enab

led

audi

ting

invo

lves

id

entif

ying

you

r cur

rent

leve

l of m

atur

ity. K

now

ing

your

cur

rent

mat

urity

leve

l is

nece

ssar

y to

det

erm

ine

gaps

with

in th

e ap

proa

ch th

at n

eed

to b

e ad

dres

sed

in o

rder

to re

ach

the

desi

red

futu

re s

tate

. Not

eve

ry

orga

niza

tion

requ

ires

the

sam

e le

vel o

f mat

urity

in th

eir d

ata

anal

ytic

s or

con

tinuo

us a

uditi

ng p

roce

sses

. It

dep

ends

on

a nu

mbe

r of f

acto

rs in

clud

ing,

for e

xam

ple,

the

need

s an

d go

als

of th

e en

terp

rise,

the

ambi

tions

and

per

mis

sion

s of

the

chie

f aud

it ex

ecut

ive,

the

natu

re o

f the

ent

erpr

ise’

s bu

sine

ss, a

nd th

e re

gula

tory

env

ironm

ent i

n w

hich

the

ente

rpris

e op

erat

es n

ow a

nd in

the

futu

re.

Est

ablis

hing

whe

re y

our i

nter

nal a

udit

orga

niza

tion

stan

ds re

quire

s co

mpa

rison

with

a re

fere

nce

mat

urity

m

odel

, whi

ch in

clud

es c

lear

leve

ls o

f mat

urity

, for

eac

h ph

ase

of th

e au

dit p

roce

ss, w

ith c

onsi

dera

tion

of a

va

riety

of p

eopl

e, p

roce

ss, a

nd te

chno

logy

fact

ors.

The

pur

pose

of s

uch

a co

mpa

rison

, or g

ap a

sses

smen

t,

is to

hel

p id

entif

y th

e de

sire

d fu

ture

sta

te m

atur

ity le

vel t

hat i

s rig

ht fo

r you

r int

erna

l aud

it or

gani

zatio

n, th

e ga

ps b

etw

een

the

curr

ent a

nd fu

ture

sta

tes,

and

to e

nabl

e bu

ildin

g a

stra

tegy

to a

chie

ve th

e de

sire

d fu

ture

m

atur

ity s

tate

. Mor

eove

r, th

e m

odel

ser

ves

as a

mec

hani

sm to

mea

sure

pro

gres

s al

ong

the

way

.

KP

MG

has

dev

elop

ed th

e fo

llow

ing

refe

renc

e m

atur

ity m

odel

to il

lust

rate

the

appl

icat

ion

of d

ata

anal

ytic

s an

d th

eir r

elat

ed c

hara

cter

istic

s fo

r eac

h ph

ase

of th

e au

dit m

etho

dolo

gy a

nd h

ow th

ey m

ay v

ary

at d

iffer

ent

mat

urity

leve

ls.

The

Mat

urity

Mod

el |

9

With

in a

n in

tern

al a

udit

met

hodo

logy

, exe

cutio

n an

d re

port

ing

invo

lves

the

scop

ing

of e

ach

audi

t, c

reat

ing

and

exec

utin

g th

e au

dit s

teps

, con

duct

ing

the

busi

ness

pro

cess

ana

lysi

s, id

entif

icat

ion

of c

ontr

ol g

aps

to b

e co

nsid

ered

or e

valu

ated

, and

the

docu

men

tatio

n of

aud

it ev

iden

ce a

nd re

port

ing

of a

ny fi

ndin

gs. T

he u

se o

f an

alyt

ics-

enab

led

audi

ting

char

acte

ristic

s at

this

pha

se in

crea

ses

as y

ou m

ove

up fr

om e

ach

of th

e fiv

e m

atur

ity

leve

ls a

s sh

own

in th

e ch

art b

elow

.

Exe

cuti

on

an

d r

epo

rtin

g a

t va

rio

us

mat

uri

ty le

vels

Inte

rnal

Au

dit

D

ata

An

alyt

ics

and

Co

nti

nu

ou

s A

ud

itin

g

Mat

uri

ty M

od

elTr

adit

ion

al

Au

dit

ing

Ad

Ho

c In

teg

rate

d

An

alyt

ics

Co

nti

nu

ou

s R

isk

Ass

essm

ent

&

Co

nti

nu

ou

s A

ud

itin

g

Inte

gra

ted

C

on

tin

uo

us

Au

dit

ing

&

Co

nti

nu

ou

s M

on

ito

rin

g

Co

nti

nu

ou

s A

ssu

ran

ce

of E

nte

rpri

se

Ris

k M

anag

emen

t

Exe

cuti

on

an

d

Rep

ort

ing

• D

ata

Ana

lytic

s ar

e no

t util

ized

to

driv

e th

e ex

ecut

ion

of

the

audi

t pla

n in

trad

ition

al

audi

ting

• A

d ho

c da

ta

anal

ytic

s ar

e ut

ilize

d to

iden

tify

outly

ing

tran

sact

ions

or

to a

ssis

t in

sco

ping

th

e au

dit.

• U

se o

f an

alyt

ics

may

incl

ude

desc

riptiv

e an

d so

me

diag

nost

ic

• Ke

y bu

sine

ss

proc

esse

s ha

ve

auto

mat

ed

anal

ytic

s re

ady

for t

he a

udito

r du

ring

plan

ning

to

sco

pe

and

focu

s au

dit e

ffort

s.

• D

ata

anal

ytic

en

able

d au

dit

prog

ram

s

• U

se o

f an

alyt

ics

may

incl

ude

pres

crip

tive,

di

agno

stic

, an

d so

me

pred

ictiv

e

• A

utom

ated

A

uditi

ng

tech

niqu

es

achi

eve

seve

ral a

udit

obje

ctiv

es

base

d on

“e

xcep

tion”

au

ditin

g.

• In

tern

al A

udit

is c

onne

cted

to

the

sam

e da

ta a

nd

repo

rtin

g as

m

anag

emen

t an

d as

sess

es

the

qual

ity o

f th

e da

ta a

nd

the

anal

ytic

s m

onito

red

by

the

busi

ness

.

• Pr

edic

tive

and

pres

crip

tive

anal

ytic

s m

ay

be a

dded

to

the

desc

riptiv

e an

d di

agno

stic

• A

udit

proc

edur

es

are

desi

gned

to

ver

ify th

e un

derly

ing

data

ana

lysi

s an

d re

port

ing

of ri

sk a

t the

bu

sine

ss le

vel

to e

nsur

e th

at th

ey a

re

alig

ned

with

th

e E

nter

pris

e st

rate

gic

goal

s an

d ob

ject

ives

.

• A

utom

ated

au

ditin

g is

fo

cuse

d on

ro

ot c

ause

an

alys

is a

nd

man

agem

ent’s

re

spon

ses

to

risks

incl

udin

g bu

sine

ss

anom

alie

s an

d tr

igge

r eve

nts.

• C

onsi

sten

t use

of

ana

lytic

s in

clud

ing

desc

riptiv

e,

diag

nost

ic,

pred

ictiv

e an

d pr

escr

iptiv

e

Mat

uri

tyLe

vel I

Mat

uri

tyLe

vel I

IM

atu

rity

Leve

l III

Mat

uri

tyLe

vel I

VM

atu

rity

Leve

l V

8 | T

he M

atur

ity M

odel

Def

inin

g a

nal

ytic

cap

abili

ties

Ana

lytic

al c

apab

ilitie

s ca

n be

def

ined

and

org

aniz

ed in

to th

e fo

llow

ing

four

cat

egor

ies

of c

apab

ility

: Des

crip

tive,

D

iagn

ostic

, Pre

dict

ive

and

Pres

crip

tive.

You

will

nee

d to

man

age

the

capa

bilit

ies

as a

por

tfol

io. S

ee "A

dvan

ced

Ana

lytic

s: P

redi

ctiv

e, C

olla

bora

tive

and

Perv

asiv

e."

Des

crip

tive

an

alyt

ical

cap

abili

ties

: Des

crip

tive

anal

ysis

/mod

els

prov

ide

info

rmat

ion

abou

t the

sta

te o

f eve

nts,

tr

ends

, pat

tern

s an

d re

latio

nshi

ps in

the

exis

ting

data

and

pro

vide

the

basi

s fo

r mod

els

whi

ch m

ay b

e us

ed to

fin

d va

rianc

e to

pat

tern

s in

new

dat

a. (N

ote:

With

des

crip

tive

mod

els,

ther

e is

no

resp

onse

[dep

ende

nt] v

aria

ble

that

you

are

tryi

ng to

pre

dict

the

valu

e of

.) Th

e ty

pica

l kin

d of

ana

lytic

que

stio

n an

swer

ed is

"Wha

t hap

pene

d or

w

hat i

s ha

ppen

ing

right

now

and

how

doe

s it

rela

te to

his

toric

al p

atte

rns?

"

Dia

gn

ost

ic a

nal

ytic

al c

apab

iliti

es: T

hese

type

s of

ana

lysi

s ar

e de

velo

ped

to u

nder

stan

d th

e ca

uses

of a

n ou

tcom

e, o

ften

in th

e co

ntex

t of a

pro

cess

or r

elat

ed e

vent

s. V

ario

us te

chni

ques

and

mod

els

can

be u

sed

to a

bstr

act a

nd a

ccou

nt fo

r dep

ende

ncie

s am

ong

caus

al fa

ctor

s. Ty

pica

l kin

ds o

f ins

ight

pro

vide

by

this

sor

t of

ana

lysi

s in

clud

e an

swer

s to

the

busi

ness

que

stio

n "W

hy d

id it

hap

pen?

"

Pre

dic

tive

an

alyt

ical

cap

abili

ties

: The

se ty

pes

of a

naly

sis

are

deve

lope

d fo

r pre

dict

ing

the

valu

es o

f on

e or

mor

e re

spon

se (d

epen

dent

) var

iabl

es fr

om th

e va

lues

of p

redi

ctor

(ind

epen

dent

) var

iabl

es in

the

data

set.

Pre

dict

ive

mod

els

use

hist

oric

al d

ata

with

kno

wn

resp

onse

s to

dev

elop

(or e

stim

ate)

a m

odel

th

at c

an b

e us

ed to

pre

dict

val

ues

for n

ew d

ata.

The

se s

orts

of c

apab

ility

are

nee

ded

to s

uppo

rt

lead

ing

perf

orm

ance

mea

sure

s: e

.g.,

"Wha

t will

hap

pen?

" and

"Wha

t is

likel

y to

hap

pen?

"

Pre

scri

pti

ve a

nal

ytic

al c

apab

iliti

es: P

resc

riptiv

e m

odel

s an

d an

alys

is a

re u

sed

to d

evel

op a

co

urse

of a

ctio

n (a

dapt

atio

n) in

resp

onse

to a

n ev

ent o

r ser

ies

of e

vent

s. A

pre

scrip

tive

mod

el c

an

be u

sed

to d

efin

e an

d ar

ticul

ate

the

idea

l pro

cess

to fo

llow

to a

ddre

ss o

r res

pond

to a

n ev

ent.

G

iven

that

a c

erta

in a

ctio

n or

eve

nt h

as ta

ken

plac

e, th

e pr

escr

iptiv

e m

odel

can

be

used

to fi

nd

the

best

resp

onse

. Thi

s ki

nd o

f ana

lysi

s ca

n an

swer

bus

ines

s qu

estio

ns s

uch

as "W

hat i

s th

e re

com

men

ded

next

act

ion?

"

So

urc

e: B

est

Pra

ctic

es in

An

alyt

ics:

Inte

gra

tin

g A

nal

ytic

al C

apab

iliti

es a

nd

P

roce

ss F

low

s, G

artn

er, M

arch

201

2

The

Mat

urity

Mod

el |

5

Leve

l ILe

vel I

ILe

vel I

IILe

vel I

VLe

vel V

Inte

rnal

au

dit

dat

a an

alyt

ics

and

co

nti

nu

ou

s au

dit

ing

mat

uri

ty m

od

elA

ud

it M

eth

od

olo

gy-b

ased

Mat

uri

ty M

od

el

Usi

ng th

e m

atur

ity m

odel

to la

y th

e gr

ound

wor

k, a

n in

tern

al a

udit

orga

niza

tion

will

nee

d to

eva

luat

e its

cu

rren

t int

erna

l aud

it m

etho

dolo

gy fo

r aud

it pl

anni

ng, e

xecu

tion,

and

repo

rtin

g. T

he e

arly

pha

ses

of a

typi

cal

inte

rnal

aud

it m

etho

dolo

gy s

houl

d in

clud

e st

rate

gic

anal

ysis

and

ent

erpr

ise

risk

asse

ssm

ent.

Str

ateg

ic

anal

ysis

pro

vide

s an

initi

al u

nder

stan

ding

of a

n or

gani

zatio

n’s

busi

ness

from

a to

p-do

wn

pers

pect

ive

and

offe

rs a

fram

ewor

k to

hel

p id

entif

y or

gani

zatio

nal a

nd in

dust

ry is

sues

, str

ateg

ic o

bjec

tives

and

cha

lleng

es.

Nex

t, a

n en

terp

rise

risk

asse

ssm

ent i

s ne

cess

ary

to g

ain

insi

ght i

nto

the

risks

that

may

thre

aten

a c

ompa

ny’s

ac

hiev

emen

t of b

usin

ess

and

stra

tegi

c ob

ject

ives

.

For i

llust

rativ

e pu

rpos

es, w

e ar

e fo

cusi

ng th

e fo

llow

ing

page

s on

two

sele

ct p

hase

s of

the

inte

rnal

aud

it m

etho

dolo

gy –

inte

rnal

aud

it pl

an d

evel

opm

ent a

nd e

xecu

tion

and

repo

rtin

g –

to h

ighl

ight

the

appl

icat

ion

of,

and

char

acte

ristic

s re

latin

g to

the

inte

grat

ion

of, d

ata

anal

ytic

s w

ithin

the

refe

renc

e m

atur

ity m

odel

.

Mat

uri

ty L

evel

s

IAM

eth

od

olo

gyTr

adit

ion

al

Au

dit

ing

Ad

Ho

c In

teg

rate

d

An

alyt

ics

Co

nti

nu

ou

s R

isk

Ass

essm

ent

&

Co

nti

nu

ou

s A

ud

itin

g

Inte

grat

ed

Con

tinu

ous

Aud

itin

g &

C

onti

nuou

s M

onit

orin

g

Co

nti

nu

ou

s A

ssu

ran

ce

of E

nte

rpri

se

Ris

k M

anag

emen

t

Str

ateg

ic

An

alys

is

En

terp

rise

Ris

k A

sses

smen

t

Inte

rnal

A

ud

it P

lan

D

evel

op

men

t

Exe

cuti

on

an

d

Rep

ort

ing

Co

nti

nu

ou

s Im

pro

vem

ent

Typ

es o

f Dat

a A

nal

ytic

s A

pp

licab

leD

escr

iptiv

eD

escr

iptiv

e,

Dia

gnos

tic

Des

crip

tive,

D

iagn

ostic

, Pr

edic

tive

Des

crip

tive,

D

iagn

ostic

, Pr

edic

tive,

Pr

escr

iptiv

e

Des

crip

tive,

D

iagn

ostic

, Pr

edic

tive,

Pr

escr

iptiv

e

Dat

a A

naly

tics

are

gene

rally

not

use

dD

ata

Ana

lytic

s ar

e pa

rtia

lly u

sed

but

are

sub-

optim

ized

Dat

a A

naly

tics

are

effe

ctiv

ely

and

cons

iste

ntly

use

d (o

ptim

ized

)

Man

y or

gani

zatio

ns h

ave

an in

tere

st in

exp

andi

ng d

ata

anal

ytic

s an

d m

ovin

g be

yond

the

trad

ition

al a

uditi

ng p

roce

ss to

war

d re

peat

able

and

su

stai

nabl

e da

ta a

naly

tics-

enab

led

audi

ting,

qua

ntita

tive-

base

d co

ntin

uous

risk

ass

essm

ent f

or d

ynam

ic a

udit

plan

ning

and

con

tinuo

us

audi

ting.

Oth

ers

may

see

k ad

ditio

nal v

alue

thro

ugh

the

inte

grat

ion

of c

ontin

uous

aud

iting

and

con

tinuo

us m

onito

ring

func

tions

. And

the

truly

am

bitio

us w

ill g

o fu

rthe

r and

see

k to

ach

ieve

full

mat

urity

to a

chie

ve th

e co

ntin

uous

ass

uran

ce o

f ent

erpr

ise

risk

man

agem

ent.

The

auth

ors

do n

ot m

ean

to s

ugge

st th

at C

A n

eeds

to b

e in

pla

ce b

efor

e or

in o

rder

for C

M to

be

in p

lace

. CM

can

be

impl

emen

ted

by

man

agem

ent i

ndep

ende

nt o

f int

erna

l aud

it. H

owev

er, i

f bot

h C

A a

nd C

M a

re in

pla

ce, t

hey

shou

ld b

e in

tegr

ated

– w

hich

is th

e fo

cus

of

Mat

urity

Lev

el IV

.

6 | T

he M

atur

ity M

odel

Inte

rnal

au

dit

pla

n d

evel

op

men

t at

va

rio

us

mat

uri

ty le

vels

Inte

rnal

aud

it pl

an d

evel

opm

ent s

houl

d be

bas

ed o

n th

e pr

iorit

izat

ion

of th

e ris

ks id

entif

ied

durin

g th

e en

terp

rise

risk

asse

ssm

ent p

hase

of a

n au

dit m

etho

dolo

gy. I

nter

nal a

udit

plan

dev

elop

men

t inv

olve

s de

finin

g th

e op

erat

iona

l, fin

anci

al a

nd s

trat

egic

risk

s th

at n

eed

to b

e ad

dres

sed

thro

ugh

the

exec

utio

n of

the

inte

rnal

aud

it pl

an, i

nclu

ding

the

appr

oxim

ate

reso

urce

s ne

cess

ary

to a

ccom

plis

h th

e sc

ope,

and

pro

vide

s a

basi

s fo

r an

orga

niza

tion

to m

onito

r pro

gres

s an

d pe

rfor

man

ce. T

he u

se o

f ana

lytic

s-en

able

d au

ditin

g ch

arac

teris

tics

at th

is p

hase

incr

ease

s as

you

mov

e fr

om a

ver

y ba

sic

leve

l of m

atur

ity (M

atur

ity L

evel

I)

thro

ugh

to a

ver

y m

atur

e le

vel (

Mat

urity

Lev

el V

) as

repr

esen

ted

in th

e ch

art b

elow

.

Inte

rnal

A

ud

it D

ata

An

alyt

ics

and

C

on

tin

uo

us

Au

dit

ing

M

atu

rity

M

od

elTr

adit

ion

al

Au

dit

ing

Ad

Ho

c In

teg

rate

d

An

alyt

ics

Co

nti

nu

ou

s R

isk

Ass

essm

ent

&

Co

nti

nu

ou

s A

ud

itin

g

Inte

gra

ted

C

on

tin

uo

us

Au

dit

ing

&

Co

nti

nu

ou

s M

on

ito

rin

g

Co

nti

nu

ou

s A

ssu

ran

ce o

f E

nte

rpri

se R

isk

Man

agem

ent

Inte

rnal

A

ud

it P

lan

D

evel

op

men

t

• Li

mite

d us

e of

des

crip

tive

data

ana

lytic

s

• U

se o

f m

anag

emen

t re

port

ing

unde

rlyin

g da

ta to

pe

rform

bro

ad

desc

riptiv

e da

ta

anal

ytic

s (i.

e.

benc

hmar

king

)

• U

se o

f an

alyt

ics

may

incl

ude

desc

riptiv

e an

d so

me

diag

nost

ic

• A

pre

defin

ed

set o

f ana

lytic

s is

est

ablis

hed

to id

entif

y an

d pr

iorit

ize

risk

• A

utom

ated

ex

trac

t,

tran

sfor

m,

and

load

(ETL

), an

alyt

ics

and

repo

rtin

g

• U

se o

f an

alyt

ics

may

incl

ude

pres

crip

tive,

di

agno

stic

, an

d so

me

pred

ictiv

e

• M

anag

emen

t sy

stem

s ar

e le

vera

ged

to e

nabl

e co

ntin

uous

as

sess

men

t and

pr

iorit

izat

ion

of

busi

ness

risk

s

• Sy

stem

ge

nera

ted

anal

ytic

s an

d da

shbo

ards

ar

e m

onito

red

by th

e bu

sine

ss

agai

nst

spec

ified

ris

k cr

iteria

• Pr

edic

tive

and

pres

crip

tive

anal

ytic

s m

ay

be a

dded

to

the

desc

riptiv

e an

d di

agno

stic

• Th

e E

nter

pris

es’

stra

tegi

c go

al

and

obje

ctiv

es

are

alig

ned

with

risk

m

anag

emen

t pr

actic

es

• S

trat

egic

ob

ject

ives

and

ris

ks to

thos

e ob

ject

ives

are

m

onito

red

and

prio

ritiz

ed o

n a

cont

inuo

us

basi

s

• IA

Pla

n is

dy

nam

ic a

nd

able

to re

act t

o ch

ange

s in

the

busi

ness

• C

onsi

sten

t use

of

ana

lytic

s in

clud

ing

desc

riptiv

e,

diag

nost

ic,

pred

ictiv

e an

d pr

escr

iptiv

e

Mat

uri

tyLe

vel V

Mat

uri

tyLe

vel I

VM

atu

rity

Leve

l III

Mat

uri

tyLe

vel I

IM

atu

rity

Leve

l I

The

Mat

urity

Mod

el |

7

Inte

rnal

Au

dit

Pla

n D

evel

op

men

t at

Mat

uri

ty L

evel

s I

an

d

IIIn

trad

ition

al in

tern

al a

udit

met

hodo

logi

es (M

atur

ity L

evel

I), d

ata

anal

ytic

s ar

e no

t typ

ical

ly u

tiliz

ed to

de

velo

p th

e au

dit p

lan.

At t

he n

ext m

atur

ity le

vel o

f ad

hoc

anal

ytic

s (M

atur

ity L

evel

II),

inte

rnal

aud

it m

ay

use

som

e hi

gh le

vel q

uant

itativ

e m

easu

res,

suc

h as

fina

ncia

l sta

tem

ent t

rend

s an

d in

dust

ry b

ench

mar

king

, in

con

junc

tion

with

the

trad

ition

al q

ualit

ativ

e ap

proa

ch. T

he q

uant

itativ

e m

easu

res

are

utili

zed

to c

onfir

m a

nd

valid

ate

the

risks

and

are

as o

f foc

us id

entif

ied

durin

g th

e qu

alita

tive/

trad

ition

al p

lann

ing

proc

ess.

Thi

s ty

pe o

f id

entif

icat

ion

and

prio

ritiz

atio

n ty

pica

lly o

ccur

s on

an

annu

al b

asis

.

Inte

rnal

Au

dit

Pla

n D

evel

op

men

t at

Mat

uri

ty L

evel

III

Dur

ing

the

third

mat

urity

leve

l of c

ontin

uous

risk

ass

essm

ent a

nd c

ontin

uous

aud

iting

(Mat

urity

Lev

el II

I), in

tern

al

audi

t mon

itors

a n

umbe

r of q

uant

itativ

e m

easu

res

that

pro

vide

insi

ghts

to c

hang

es in

the

busi

ness

, con

trol

w

eakn

esse

s an

d bu

sine

ss p

erfo

rman

ce. T

he q

uant

itativ

e an

d qu

alita

tive

mea

sure

s ar

e al

igne

d w

ith p

riorit

y bu

sine

ss ri

sks

and

inte

rnal

aud

it ev

alua

tes

thes

e qu

antit

ativ

e an

d qu

alita

tive

mea

sure

s re

gula

rly th

roug

hout

th

e ye

ar o

n a

quar

terly

or m

onth

ly b

asis

. Bus

ines

s ris

ks a

nd a

udit

area

s ar

e re

-prio

ritiz

ed in

acc

orda

nce

with

the

busi

ness

risk

pro

file.

In a

dditi

on, t

he a

ssur

ance

of r

isk

appe

tite2 a

nd c

over

age

is fu

rthe

r ref

ined

and

enh

ance

d us

ing

data

ana

lytic

s. Th

e ty

pes

of a

naly

tics

used

may

incl

ude

desc

riptiv

e, d

iagn

ostic

and

eve

n so

me

pred

ictiv

e.

The

anal

ytic

s ut

ilize

d id

entif

y ris

ks th

at a

re o

utsi

de o

f est

ablis

hed

risk

appe

tite

para

met

ers

and

the

anal

ysis

is

per

form

ed m

ore

freq

uent

ly a

t det

erm

ined

tim

e in

terv

als.

At t

his

third

mat

urity

leve

l, ev

olvi

ng e

vent

s in

the

regu

lato

ry a

nd ri

sk e

nviro

nmen

t are

con

side

red

near

real

tim

e fo

r im

pact

to th

e bu

sine

ss a

nd fo

r bus

ines

s re

spon

se to

the

chan

ge in

the

envi

ronm

ent.

Inte

rnal

Au

dit

Pla

n D

evel

op

men

t at

Mat

uri

ty L

evel

IV

The

next

mat

urity

leve

l to

cons

ider

is c

ontin

uous

aud

iting

and

con

tinuo

us m

onito

ring

(Mat

urity

Lev

el IV

). A

t thi

s fo

urth

mat

urity

leve

l, pr

ojec

t pla

nnin

g du

ring

inte

rnal

pla

n de

velo

pmen

t inv

olve

s m

any

key

busi

ness

pr

oces

ses

that

leve

rage

bus

ines

s in

telli

genc

e an

d co

ntin

uous

mon

itorin

g te

chni

ques

to e

valu

ate

busi

ness

ris

k an

d fin

anci

al a

nd o

pera

tiona

l res

ults

. Ana

lytic

s in

clud

e bo

th in

tern

al a

nd e

xter

nal d

ata

and

resu

lts a

re

benc

hmar

ked

agai

nst l

eadi

ng p

ract

ices

. Int

erna

l aud

it le

vera

ges

the

busi

ness

’ con

tinuo

us m

onito

ring

proc

ess

and

outp

ut to

iden

tify

audi

t trig

ger e

vent

s an

d re

-prio

ritiz

e ris

ks a

t app

ropr

iate

inte

rval

s (e

.g.,

mon

thly

, qua

rter

ly,

etc.

). Th

e as

sura

nce

of ri

sk a

ppet

ite a

nd c

over

age

is fu

rthe

r ref

ined

and

enh

ance

d us

ing

data

ana

lytic

s.

Pred

ictiv

e an

alyt

ics

may

be

used

mor

e ex

tens

ivel

y an

d pr

escr

iptiv

e an

alyt

ics

may

be

intr

oduc

ed. D

ata

anal

ytic

s ar

e sy

stem

gen

erat

ed fr

om w

ithin

the

busi

ness

uni

ts to

ena

ble

audi

ts to

be

adde

d, a

ccel

erat

ed, d

ropp

ed,

or d

efer

red

(i.e.

, dyn

amic

aud

it pl

anni

ng).

Aud

it pl

ans

are

dyna

mic

ally

cre

ated

usi

ng a

num

ber o

f var

iabl

es,

incl

udin

g ke

y pe

rfor

man

ce in

dica

tors

(KPI

s), k

ey ri

sk in

dica

tors

(KR

Is),

and

hist

oric

al re

sults

prio

r aud

its.

Inte

rnal

Au

dit

Pla

n D

evel

op

men

t at

Mat

uri

ty L

evel

V

In th

e ul

timat

e m

atur

ity le

vel o

f con

tinuo

us a

ssur

ance

of e

nter

pris

e ris

k m

anag

emen

t (M

atur

ity L

evel

V),

inte

rnal

aud

it pl

an d

evel

opm

ent w

ould

invo

lve

the

mon

itorin

g of

an

ente

rpris

e’s

stra

tegi

c an

d bu

sine

ss p

roce

ss

risks

usi

ng b

usin

ess

inte

llige

nce

and

cont

inuo

us m

onito

ring

tech

niqu

es. T

he ri

sks

and

perf

orm

ance

indi

cato

rs

are

cont

inuo

usly

reco

ncile

d to

an

ente

rpris

e’s

stra

tegi

c bu

sine

ss o

bjec

tives

. The

str

ateg

ic ri

sk fa

ctor

s in

clud

e bo

th in

tern

al a

nd e

xter

nal f

acto

rs th

at m

ay in

hibi

t the

ach

ieve

men

t of t

he s

trat

egy

and

the

anal

ysis

of t

he

chan

ges

in ri

sk d

rives

the

prio

ritiz

atio

n of

aud

it ar

eas

on a

con

tinuo

us b

asis

at p

rede

term

ined

inte

rval

s (e

.g.,

daily

, wee

kly,

mon

thly

, etc

.). T

his

leve

l of m

atur

ity is

cha

ract

eriz

ed b

y a

mor

e ex

pans

ive

and

cons

iste

nt

use

of a

dvan

ced

anal

ytic

s in

clud

ing

pred

ictiv

e an

d pr

escr

iptiv

e an

alyt

ics.

2 R

isk

appe

tite

is g

ener

ally

rega

rded

as

the

amou

nt o

f ris

k th

at a

com

pany

is w

illin

g to

ass

ume

over

a p

erio

d of

tim

e an

d in

the

purs

uit o

f its

m

issi

on, T

urni

ng R

isk

into

Adv

anta

ge: A

Cas

e S

tudy

, KP

MG

LLP

(201

1)