“Future of Audit”
(or back to the future?)
Drs Pieter de Kok RA
“Future of Flying”
To the moon and London to Sydney in just two hours
FUTURE OF HIGHWAYS
By Daan Roosegaarde
TODAY
Limited ‘BI’ & data awareness in
audit & reporting domain
Limited standardisation, low
efficiency in adopting new analytics
technology
IT tools are all over the place, no
integrated approach
A lot of talking…
Low added value perceived by
clients, low fun factor experienced
by teams
Current General
landscape
Assurance &
Reporting services
Key Objectives of
CONEY today
Provide for Smart & Easy analytics
Innovate our assurance proposition
Operating an Analytics platform
Connectivity to the max
“Automate routine activities”
Get closer to our clients
Identify new service opportunitiesData-
Analytics
Process
Mining
TODAY
Basic settings
Identify continuous improvement
opportunities
Analyses on risk, control, audit and
performance KPI’s
Extract financial and other data from
various ICT systems
Steer and respond on actuals
TODAY Basis
Deliverables
Business Trends & Developments reporting
Workflows audits through process mining
Online dashboards for presentations
Audit Alerts & Exceptions
Periodic ‘Automated’ audit procedures
Starreveld based auditing – ad hoc
http://www.co
ney.nl/portfoli
o/process-
mining-
demovideo/
Purchasing
Hours x
Freelance Rate
Sales
Hours x
Sales Rate
Cash
Receipt
Cash
Disbursment
TEMP
services
Cash
Payables ReceivablesClose
To Real Time
Audit Approach Today
TODAY Basis
Deliverables
Connect with digital files
Exception management
Connectivity
Connect to different source systems
XBRL/SBR/Audit files
Open source systems
NEXT 3 TO 5
YEARS
THE EYE OF AUDIT DISRUPTION
NEXT 3 to 5
YEARS
Use open data, build smart, big data solutions
for clients
Share new business insights to your clients
Extend insights to wider group of stakeholders
by opening platform
Provide your clients access to an Analytical
Platform
Monitor Business Performance
Increase of
Advanced
Business Analytics
in Audit
Further integrate statistical analytics
We need to build Audit Data Standards
Around
NEXT 3 to
5 YEARS
Build New Audit Data Standards
(powered by the AICPA)
• Computer procedures and controls are sitting between the data and the auditor
• Audit Data Standards facilitate development of (semi) automated audit tools
• Move away from disparate data systems and repeated request for data
• Create a COMMON DATA STORE and it is about the question ‘WHAT DATA
DO WE NEED PER PROCESS’
NEXT 3 to
5 YEARS
Invest in global research to develop true
automated audits
INVEST
NEXT 3 to
5 YEARS
A lot of work ahead: Data Level Assurance
(Hans Verkruijsse, discussion started in1970….)
• This is about ‘Financial Reporting and Data-Analytics*’, we need to question,
‘What Do We Get?’
• Today’s data assertions are supported by mix of GAAS, evaluation of controls,
professional judgment and wishful thinking
• Tomorrow’s data assertions, in a standardized world (SBR)? How do we ensure
assurance?
* In data-analytics driven audit….
https://www.nba.nl/Documents/Evenementen/2014/Presentatie%20Internat
ional%20Update%2020%20maart%202014.pdf
MAART 2014..scroll to the end…
We will see more Advanced Analytics
TRADECOMPANY3.0
NEXT 3
TO 5
YEARS
Enterprise
Data (xyz)
Enterprise
Data (xyz)
INPUT
Business
Risks
Controls
Analytics
OUTPUT
Data Extraction VisualisationData-Scripts & Events Logs
Tableau
PARIS
ACL Based
Online Data-
Analytics
ALLINCLoudAUDIT
S
Datafactory
NEXT 3-5 YEARS
NEXT 3 to 5 YEARS
MORE STEPS TOWARDS
INTEGRATION PROCESS
MINING AND DATA-
ANALYTICS
Controls Performance
Business Improvements
Process Redesign
Risk management
NEXT 3 to 5
YEARS
True Revival of
Dutch Audit
Methodology
Starreveld
NEXT 3 -5 YEARS
NEXT 3 -5 YEARS
And integration of predictive analytics in audits..
TRADECOMPANY3.0
NEXT 3
TO 5
YEARS
Examples predictive analytics in audit
TRADECOMPANY3.0
Company
1
Company
2
Company
3
PREDICTING
INTERGROUP
CASHFLOW
MOVEMENTS
PERFORMING
STRESS
TESTING
Online
Audit Files
with a lot
of APPS
NEXT 3 to 5 YEARS
LOOKING AHEAD
BEYOND 5 YEARS
AUDITING THE UNKNOWN
(copy link below in your browser)
https://www.youtube.com/watch?v=Zr9W5IG6LKo
MOVIE
BEYOND 5 YEARS
BEYOND 5 YEARS
PROCESS
MODEL
FACTORY
RETAIL
PRODUCTION
PROFESSIONAL SERVICE COMPANIES
ETC
Procurement Sales
Cash
Payments
Cash
Receipt
Top Cycle Approach Examples:
PROCESSFACTORY
PROCESS MINING FUTURE
1. Global Upload SOLL Best Practice Process Models
(based on Starreveld) by students, auditors and
business
2. Global Download SOLL Best Practise Process Models
3. Automated SOLL and IST Process Mining comparisons
4. Best Practice Sharing through the Process Factory
resulting in rating Best Soll Models.
BEYOND 5 YEARS
SIMULATION
CONTROL
FRAMEWORK
PROCESS MINING
IMPROVE CONTROLS
IMPROVE EFFICIENCY
MANAGE RISK
REDUCE COMPLIANCE COST
Procurement Sales
Cash
Payments
Cash
Receipt
WHY SIMULATION
BEYOND 5 YEARS
ASSURANCE
ON DEMAND
(XBRL Driven)
Same Data, different presentation
formats
Same Data, different Assurance
levels
Focussing on specific interests, by
specific stakeholders
Beneficial for small & mediumsized
companies
Assurance On Demand:
BEYOND 5 YEARS CONTINUOUS
STORY TELLING
Socially Focused
Using New Media
Extended Audience
Advanced Visualisation
Continuous Storytelling
BEYOND 5 YEARS
We will see
Channel
Assurance
FRANCHISE
INSURER
BROKER
VALUATOR
policy
premium
damage
report
request
report
policy w/o premium
premium w/o policy
EXCEPTIONS
Algorithms Monitoring the Channel of Companies
ACROSS THE CHANNEL ASSURANCE
BEYOND
5 YEARS
How will
Internet of
Things impact
Process mining?
BEYOND 5 YEARS Gamification &
Audit Education
At the end…we will see:
Integration Data-Analytics & Process Mining
new tools
3.0
BEYOND 5 YEARS
WE NEED A AUDIT
LAB
RIGHT NOW!
Questions!?

Future of Audit by Pieter de Kok

  • 1.
    “Future of Audit” (orback to the future?) Drs Pieter de Kok RA
  • 4.
  • 5.
    To the moonand London to Sydney in just two hours
  • 6.
    FUTURE OF HIGHWAYS ByDaan Roosegaarde
  • 8.
  • 9.
    Limited ‘BI’ &data awareness in audit & reporting domain Limited standardisation, low efficiency in adopting new analytics technology IT tools are all over the place, no integrated approach A lot of talking… Low added value perceived by clients, low fun factor experienced by teams Current General landscape Assurance & Reporting services
  • 12.
    Key Objectives of CONEYtoday Provide for Smart & Easy analytics Innovate our assurance proposition Operating an Analytics platform Connectivity to the max “Automate routine activities” Get closer to our clients Identify new service opportunitiesData- Analytics Process Mining
  • 13.
    TODAY Basic settings Identify continuousimprovement opportunities Analyses on risk, control, audit and performance KPI’s Extract financial and other data from various ICT systems Steer and respond on actuals
  • 14.
    TODAY Basis Deliverables Business Trends& Developments reporting Workflows audits through process mining Online dashboards for presentations Audit Alerts & Exceptions Periodic ‘Automated’ audit procedures Starreveld based auditing – ad hoc http://www.co ney.nl/portfoli o/process- mining- demovideo/
  • 15.
    Purchasing Hours x Freelance Rate Sales Hoursx Sales Rate Cash Receipt Cash Disbursment TEMP services Cash Payables ReceivablesClose To Real Time Audit Approach Today
  • 16.
    TODAY Basis Deliverables Connect withdigital files Exception management Connectivity Connect to different source systems XBRL/SBR/Audit files Open source systems
  • 17.
    NEXT 3 TO5 YEARS
  • 18.
    THE EYE OFAUDIT DISRUPTION
  • 19.
    NEXT 3 to5 YEARS Use open data, build smart, big data solutions for clients Share new business insights to your clients Extend insights to wider group of stakeholders by opening platform Provide your clients access to an Analytical Platform Monitor Business Performance Increase of Advanced Business Analytics in Audit Further integrate statistical analytics
  • 20.
    We need tobuild Audit Data Standards Around NEXT 3 to 5 YEARS
  • 21.
    Build New AuditData Standards (powered by the AICPA) • Computer procedures and controls are sitting between the data and the auditor • Audit Data Standards facilitate development of (semi) automated audit tools • Move away from disparate data systems and repeated request for data • Create a COMMON DATA STORE and it is about the question ‘WHAT DATA DO WE NEED PER PROCESS’ NEXT 3 to 5 YEARS
  • 22.
    Invest in globalresearch to develop true automated audits INVEST NEXT 3 to 5 YEARS
  • 23.
    A lot ofwork ahead: Data Level Assurance (Hans Verkruijsse, discussion started in1970….) • This is about ‘Financial Reporting and Data-Analytics*’, we need to question, ‘What Do We Get?’ • Today’s data assertions are supported by mix of GAAS, evaluation of controls, professional judgment and wishful thinking • Tomorrow’s data assertions, in a standardized world (SBR)? How do we ensure assurance? * In data-analytics driven audit….
  • 24.
  • 25.
    We will seemore Advanced Analytics TRADECOMPANY3.0 NEXT 3 TO 5 YEARS
  • 26.
    Enterprise Data (xyz) Enterprise Data (xyz) INPUT Business Risks Controls Analytics OUTPUT DataExtraction VisualisationData-Scripts & Events Logs Tableau PARIS ACL Based Online Data- Analytics ALLINCLoudAUDIT S Datafactory NEXT 3-5 YEARS
  • 27.
    NEXT 3 to5 YEARS MORE STEPS TOWARDS INTEGRATION PROCESS MINING AND DATA- ANALYTICS Controls Performance Business Improvements Process Redesign Risk management
  • 28.
    NEXT 3 to5 YEARS True Revival of Dutch Audit Methodology Starreveld
  • 29.
    NEXT 3 -5YEARS
  • 30.
    NEXT 3 -5YEARS
  • 31.
    And integration ofpredictive analytics in audits.. TRADECOMPANY3.0 NEXT 3 TO 5 YEARS
  • 32.
    Examples predictive analyticsin audit TRADECOMPANY3.0 Company 1 Company 2 Company 3 PREDICTING INTERGROUP CASHFLOW MOVEMENTS PERFORMING STRESS TESTING
  • 33.
    Online Audit Files with alot of APPS NEXT 3 to 5 YEARS
  • 34.
  • 35.
    AUDITING THE UNKNOWN (copylink below in your browser) https://www.youtube.com/watch?v=Zr9W5IG6LKo MOVIE BEYOND 5 YEARS
  • 36.
    BEYOND 5 YEARS PROCESS MODEL FACTORY RETAIL PRODUCTION PROFESSIONALSERVICE COMPANIES ETC Procurement Sales Cash Payments Cash Receipt Top Cycle Approach Examples:
  • 37.
    PROCESSFACTORY PROCESS MINING FUTURE 1.Global Upload SOLL Best Practice Process Models (based on Starreveld) by students, auditors and business 2. Global Download SOLL Best Practise Process Models 3. Automated SOLL and IST Process Mining comparisons 4. Best Practice Sharing through the Process Factory resulting in rating Best Soll Models.
  • 38.
    BEYOND 5 YEARS SIMULATION CONTROL FRAMEWORK PROCESSMINING IMPROVE CONTROLS IMPROVE EFFICIENCY MANAGE RISK REDUCE COMPLIANCE COST Procurement Sales Cash Payments Cash Receipt WHY SIMULATION
  • 39.
    BEYOND 5 YEARS ASSURANCE ONDEMAND (XBRL Driven) Same Data, different presentation formats Same Data, different Assurance levels Focussing on specific interests, by specific stakeholders Beneficial for small & mediumsized companies Assurance On Demand:
  • 40.
    BEYOND 5 YEARSCONTINUOUS STORY TELLING Socially Focused Using New Media Extended Audience Advanced Visualisation Continuous Storytelling
  • 41.
    BEYOND 5 YEARS Wewill see Channel Assurance FRANCHISE
  • 42.
    INSURER BROKER VALUATOR policy premium damage report request report policy w/o premium premiumw/o policy EXCEPTIONS Algorithms Monitoring the Channel of Companies ACROSS THE CHANNEL ASSURANCE
  • 43.
    BEYOND 5 YEARS How will Internetof Things impact Process mining?
  • 44.
    BEYOND 5 YEARSGamification & Audit Education
  • 45.
    At the end…wewill see: Integration Data-Analytics & Process Mining new tools 3.0 BEYOND 5 YEARS
  • 46.
    WE NEED AAUDIT LAB RIGHT NOW!
  • 48.