1. Supervisory and Control Systems for National Accounts Purposes
Wir bewegen
Risk Analysis for
National Accounts
I n f o r m a t i o n e n
Eurostat Workshop
Supervisory and Control Systems for National Accounts Purposes
Ursula Havel
December 2009
© STATISTIK AUSTRIA
December 2009

2. Risk analysis
Why?
How to be done?
December 2009

3. Preparation for the GNI visit
Q2 Questions on the supervisory and control system in place.
STATISTIK AUSTRIA is invited to provide short answers on the following questions on the supervisory and control system.
Provide a description of and information on the supervisory and control systems in place, with regard to the compilation of national accounts. This should cover:
The performance of a regular and comprehensive analysis of potential risks in the main data sources and methods used and the application of actions aimed at managing and minimising these risks. This approach should include a description of the national accounts compilation process. The approach should be formalised by the National Statistical Institute in order to further reinforce the national accounts compilation process.
The existence of formal service level agreements, or equivalent arrangements, between national accounts units and the units supplying basic statistical data in order to aid proper control and a timely delivery of good quality data.
The regular production of quality reports on statistical sources and products.
The documentation of supervisory controls performed by management on national accounts compilation.
The performance of internal audits on the processes of collection and compilation of statistical data.
December 2009

4. risk matrix Risk Analysis identification of potential risks
impact if risk occurs
likelihood of occurrence
risk prevention
December 2009

5. identifation of potential risks
risks in relation to confidentiality
early release of data
risks in relation to the reliability of data
unexpected absence of staff
insufficient knowledge of staff
insufficient motivation of staff
IT breakdown
errors in using IT application
(e.g. wrong excel sheets links)
input data not/ too late available
input data showing unreasonable results
various data sources show different results
incorrect interpretation of ESA concepts
other kinds of human technical errors
misjudgment of user needs
December 2009

6. impact impact if risk occurs identification of potential risks
loss of credibility
delay of publication/data transmission
low data quality
lack of commitment
disruption of accounting process
faulty data
need for alternative estimation procedures
additional effort necessary
non-compliance with ESA
lack of relevance
identification of potential risks
risks in relation to confidentiality
early release of data
risks in relation to the reliability of data
unexpected absence of staff
insufficient knowledge of staff
insufficient motivation of staff
IT breakdown
errors in using IT application
(e.g. wrong excel sheets links)
input data not/ too late available
input data showing unreasonable results
various data sources show different results
incorrect interpretation of ESA concepts
other kinds of human technical errors
misjudgment of user needs
December 2009

7. likelihood of occurrence identification of potential risks
high medium low x
identification of potential risks
risks in relation to confidentiality
early release of data
risks in relation to the reliability of data
unexpected absence of staff
insufficient knowledge of staff
insufficient motivation of staff
IT breakdown errors in using IT application
(e.g. wrong excel sheets links)
input data not/ too late available
input data showing unreasonable results
various data sources show different results
incorrect interpretation of ESA concepts
other kinds of human technical errors
misjudgment of user needs
December 2009

8. risk prevention risk prevention potential risks
compliance with secrecy rules
compliance with release calendar; publication and data transmission at the same time
good documentation; spread of knowledge
comprehensive training programme; training on the job
high degree of responsibility
good IT infrastructure; additional support from IT consulter
data consistency checks/analytical data validation
feedback to data producers
training courses
established ways of user consultation
potential risks
risks in relation to confidentiality
early release of data
risks in relation to the reliability of data
unexpected absence of staff
insufficient knowledge of staff
insufficient motivation of staff
IT breakdown
errors in using IT application
(e.g. wrong excel sheets links)
input data not/ too late available
input data showing unreasonable results
various data sources show different results
incorrect interpretation of ESA concepts
other kinds of human technical errors
misjudgment of user needs
December 2009

9. Thank you!
December 2009