The institution improves its processes of audit and fraud control by using advanced ICT tools and any other available and consistent resource.
Relevant tools include data mining, business rules, multidimensional data analysis and external data (e.g. satellite photography and geographic information systems).
Guideline code
CCC_01800
Mechanism
Mechanism
- The information mechanisms used for guiding audit and fraud control could be based on the institution’s current data, historical data and external data (e.g. satellite pictures, socio-economic statistics, general tax information, benefits information).
- Data mining techniques may be used to perform pattern discovery generating risk profiles that could guide case analysis.
- Business rules may be used to implement deductive rule-based processes, which could enable the institution to combine different approaches to risk-case identification.
- Multidimensional data analysis may be used to enable the interactive data exploration of heterogeneous and layered source data.
- Alarm-based systems may be used to improve the effectiveness of case detection by automatically highlighting risk cases.
Parent
Structure
Structure
- The management should design and implement automated information-based systems for guiding audit and fraud control, and establish duties and responsibilities to manage these tasks.
- These systems should take account of regulations on data privacy in managing personal data.
- The information mechanisms used could be based on the institution’s current data, historical data and external data.
Title HTML
Guideline 14. Automated system for guiding audit and fraud control
Type
Guideline_1
Weight
23