Difference between revisions of "Data Processing"
From Open Risk Manual
Wiki admin (talk | contribs) (→ECB TRIM Requirements) |
Wiki admin (talk | contribs) |
||
| Line 12: | Line 12: | ||
* ''Ensuring that all data transformations are traceable and controlled.'' General guidelines and rules should be clearly formalised with regard to manual interventions within the data processing; | * ''Ensuring that all data transformations are traceable and controlled.'' General guidelines and rules should be clearly formalised with regard to manual interventions within the data processing; | ||
* ''Ensuring timeliness and [[Accountability]].'' All data transfers should be formally agreed upon (for example by means of service-level agreements) by data providers and data users (for both outsourced and in-house processes). | * ''Ensuring timeliness and [[Accountability]].'' All data transfers should be formally agreed upon (for example by means of service-level agreements) by data providers and data users (for both outsourced and in-house processes). | ||
| + | |||
| + | == See Also == | ||
| + | * [[Processing of Personal Data]] | ||
== References == | == References == | ||
| Line 18: | Line 21: | ||
[[Category:Risk Data]] | [[Category:Risk Data]] | ||
[[Category:ECB TRIM]] | [[Category:ECB TRIM]] | ||
| + | [[Category:Data Privacy]] | ||
Revision as of 23:32, 27 September 2021
Definition
Data Processing denotes the set of automated or manual operations that an organization may perform on its material digital data flows. It comprises of activities such as:
- Data Sourcing (also Data Collection)
- Data Storage (persistence of data in databases)
- Data Validation
- Data Migration
- Data Use
ECB TRIM Requirements
Data Processing in regulated financial institutions is subject to specific requirements[1] in particular with regard to manual interventions and data transfers:
- Ensuring that all data transformations are traceable and controlled. General guidelines and rules should be clearly formalised with regard to manual interventions within the data processing;
- Ensuring timeliness and Accountability. All data transfers should be formally agreed upon (for example by means of service-level agreements) by data providers and data users (for both outsourced and in-house processes).
See Also
References
- ↑ ECB guide to internal models - Credit Risk, Sep 2018
