The future of audit outlines the vision of Pieter de Kok regarding the future of audit. Process mining, data-analytics, open data, big data, predictive assurance, cloud, gamification. Coney developed the EYE of Audit Disruption.
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
10.
11.
12. 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
13. 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
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/
16. TODAY Basis
Deliverables
Connect with digital files
Exception management
Connectivity
Connect to different source systems
XBRL/SBR/Audit files
Open source systems
19. 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
20. We need to build Audit Data Standards
Around
NEXT 3 to
5 YEARS
21. 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
22. Invest in global research to develop true
automated audits
INVEST
NEXT 3 to
5 YEARS
23. 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….
27. NEXT 3 to 5 YEARS
MORE STEPS TOWARDS
INTEGRATION PROCESS
MINING AND DATA-
ANALYTICS
Controls Performance
Business Improvements
Process Redesign
Risk management
28. NEXT 3 to 5
YEARS
True Revival of
Dutch Audit
Methodology
Starreveld
31. And integration of predictive analytics in audits..
TRADECOMPANY3.0
NEXT 3
TO 5
YEARS
32. Examples predictive analytics in audit
TRADECOMPANY3.0
Company
1
Company
2
Company
3
PREDICTING
INTERGROUP
CASHFLOW
MOVEMENTS
PERFORMING
STRESS
TESTING
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.
39. 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:
40. BEYOND 5 YEARS CONTINUOUS
STORY TELLING
Socially Focused
Using New Media
Extended Audience
Advanced Visualisation
Continuous Storytelling