The key points of the implementation in PRC Part.I

Generally described as a technical project, including the use of exchange format "XBRL" PRC also includes business and organizational issues are often overlooked. Yet they are at least as important and appear to be at the heart of institutional concerns. The establishment of "production lines" PRC, as well as has responsibility for validation and controlling data, indeed require special attention.

From a business perspective, it is primarily the availability and reliability of data on the scope anticipated at the heart of the concerns. On the one hand, Basel II, which must come to power PRC data are not yet stabilized for most institutions (upgrades following the regulator's audits, review the quality of some data, adjusting assumptions modeling, implementation delayed for certain subsidiaries ...). On the other hand, some data expected by the PRC are not provided in standard areas of specific ventilation, presence of aggregates under Pillar II, or references to IAS
A "simple" translation between the PRC and the Basel II appears to be excluded, especially since it must incorporate data from the subsidiaries. The complexity of implementation is also increased for banking groups with entities abroad. In Europe, there will be no one single reporting. On the basis of a reference format defined by the CEBS, each national supervisor has established its own version of the PRC. Therefore, the parent company cannot simply broadcast a unique methodology and to manage complex rules for consolidation and verification. A true "challenge" for groups ADDITION consolidating subsidiaries is not subject to the PRC, nor even to Basel II.

Once key issues arise with regard to functional architecture; indeed, the options selected will be structural, not only because the PRC requires complex treatment (IRB cohabitation methods and standard collection of market risk, high volume ...) but also because it will be necessary to ensure the sustainability of production assumptions (audit ability and interpretability of data on the long term).