Response to discussion on a Feasibility Study of an Integrated Reporting System under Article 430c CRR
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Legal aspects should be treated at national level and taken into account at European level definitions.
Problems that arise from reporting to different authorities:
- Differences in: (data) delivery models, accounting rules, definitions, consolidation aspects, technical formats, reporting timelines and frequencies;
- Overlapping data requests;
- Local differences in terms of regulation;
- Mix of aggregated and granular data;
In other cases, dictionaries differ country by country or by reporting framework. Some are using an internal data dictionary, while some other banks are using one conceptual data dictionary with more technical implementations. That’s why, each system has its own implementation.
- Only one collection layer, no existence of multiple reporting layers.
- Proper governance should be established, in order to reuse and share already existing data.
- Standardized transformation rules deriving regulatory data/templates.
- In order to protect sensible data from EU and other countries, encryption facilities should be available.
- For all types of reports and in all jurisdictions, the interfaces for data collection should be consistent.
- Uniform protocols and formats should be used for data exchange between the institutions and the authorities.
- Common roles and access control rules.
- Data quality should be assured through quality controls and control framework.
- Clearly defined Data Dictionary covering the data definitions; principles and rules of data quality management;
- Complex data transformation should be avoided.
- A commonly used single granular data model in the European banking industry is essential to reduce the costs of reporting.
- To the reporting institutions both the proposed "centralized system" (5.2.10) and "distributed system" (5.2.11) are beneficial in a same manner, but we consider that the centralized system would produce a lower TCO. Furthermore, if the "distributed system" allows for national divergence of data requirements, this alternative will be significantly worse than the centralized system for the reporting institutions.
1) Please explain which institutions you think should be considered by the Feasibility Study.
A revision of the reporting system can only be beneficial if all reports are taken into account. This relates to statistical reporting, regulatory reporting and reporting to resolution authorities and deposit guarantee institutions (the latter two are not relevant for many EAPB members). In the end only in this way simplifications and reductions in cost can be achieved. Therefore, all relevant stakeholders must be taken into account in a feasibility study, i.e. both the reporting authorities and the reporting institutions.9) What are the characteristics you think a data dictionary should have? Do you agree with the one referred to in this document? Do you think any characteristic is missing or should not be included?
A robust and well-defined data model for all reporting areas is the key to a future-oriented new reporting format. Approaches that are already well advanced in development, such as BIRD, should definitely be included in the development. The data dictionary should be structured in such a way that a transaction with all its components only needs to be reported once in order to fulfill all reporting requirements.12) How important is it for institutions to have a unique and standard data dictionary for all regulatory data with the aim of ensuring consistent use across the supervisory, resolution and statistical reporting?
Highly important13) How much would it cost to move to a unique regulatory data dictionary?
Highly costly14) How much cost reduction is expected by integrating the national regulatory reporting together with the harmonised reporting regulation into a unique data dictionary?
High cost reductions15) How much cost reduction is expected by integrating ad hoc regulatory reporting with harmonised regulation into a unique data dictionary?
High cost reductionsFeasable and preferable
option 220) In case of Option 2, please specify how should the granular collection layer be designed to your best advantage (and benefit of reporting more granularly)?
Regarding the granularity of the data to be reported, reporting at the individual transaction level must be intended. If aggregations and evaluations are carried out at the reporting recipients on the reported data, the rules used for this must be transparent and traceable for the reporting institution. Furthermore, it should be possible for the reporting party to get access to these results. In the end, only the reporting institution can be responsible for e.g. calculated capital ratios. Due to this initial situation, only option 2 (page 78 of the Discussion Paper) can be the preferred way of implementation, with the reduction of the volume of data to be reported being a key objective.23) If transformations are to be defined (as depicted in Option 2 or Option 3), who should be responsible for their definition (e.g. who takes responsibility for their correctness) and their execution?
Authorities and reporting institutions jointlyManual adjustments
Definition of appropriate rules.Consolidated/individual figures
Data collection on prudential, statistical and resolution legislation should be aligned; supervisory scope should change.Different valuations
Valuation methods, for example, fair value, amortized costs etc. should be harmonized; unique valuation method.Principle-based rules
Rules across the entire EU should be harmonized.Legal aspects
Alignment across the entire EU, like legislation on confidentiality and data privacy, etc.Legal aspects should be treated at national level and taken into account at European level definitions.
29) Is your institution reporting to different authorities in your home country?
Yes30) Is your institution reporting to other authorities in host countries?
YesPlease comment: What problems arise from reporting to different authorities?
The majority of the institutions report to different authorities in their countries.Problems that arise from reporting to different authorities:
- Differences in: (data) delivery models, accounting rules, definitions, consolidation aspects, technical formats, reporting timelines and frequencies;
- Overlapping data requests;
- Local differences in terms of regulation;
- Mix of aggregated and granular data;
31) Are you using one or more data dictionaries for reporting? How?
Multiple dictionariesPlease comment: how are you making use of them?
Because of differences in primary reporting definition as well as in the technical input layer across EU countries, institutions are consequently using a different semantic and syntactic data definition and a different semantic and syntactic definition for the data collection.In other cases, dictionaries differ country by country or by reporting framework. Some are using an internal data dictionary, while some other banks are using one conceptual data dictionary with more technical implementations. That’s why, each system has its own implementation.
32) Are you using the same or different formats for prudential/resolution reporting and for statistical reporting?
Different formats33) How important would it be, for your institution, to have access to a CDCP for all prudential, resolution and statistical reports? Why?
Very important34) What should be, in your view, the main characteristics of a CDCP?
- One dictionary for all data collections, without any regard to the final purpose, who the requesting authority is, and what the national vs EU nature of the request is.- Only one collection layer, no existence of multiple reporting layers.
- Proper governance should be established, in order to reuse and share already existing data.
- Standardized transformation rules deriving regulatory data/templates.
- In order to protect sensible data from EU and other countries, encryption facilities should be available.
- For all types of reports and in all jurisdictions, the interfaces for data collection should be consistent.
- Uniform protocols and formats should be used for data exchange between the institutions and the authorities.
- Common roles and access control rules.
- Data quality should be assured through quality controls and control framework.
- Clearly defined Data Dictionary covering the data definitions; principles and rules of data quality management;
- Complex data transformation should be avoided.
Please answer here to question 36
Following aspects should be taken into account to reduce the costs:- A commonly used single granular data model in the European banking industry is essential to reduce the costs of reporting.
- To the reporting institutions both the proposed "centralized system" (5.2.10) and "distributed system" (5.2.11) are beneficial in a same manner, but we consider that the centralized system would produce a lower TCO. Furthermore, if the "distributed system" allows for national divergence of data requirements, this alternative will be significantly worse than the centralized system for the reporting institutions.