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 www.statistik.at December 2009

Risk analysis Why? How to be done? December 2009

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

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

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

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

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

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

Thank you! December 2009