Information Systems and Processes EUROFILING TAXONOMY ARCHITECTURE Víctor Morilla IT Specialist XI EUROPEAN BANKING SUPERVISOR XBRL WORKSHOP Vienna November.

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Presentation transcript:

Information Systems and Processes EUROFILING TAXONOMY ARCHITECTURE Víctor Morilla IT Specialist XI EUROPEAN BANKING SUPERVISOR XBRL WORKSHOP Vienna November 19 th 2009

INFORMATION SYSTEMS AND PROCESSES WHAT IS A TAXONOMY ARCHITECTURE? 2 In computer engineering, computer architecture is the conceptual design and fundamental operational structure of a computer system.computer engineeringcomputer In computer engineering, computer architecture is the conceptual design and fundamental operational structure of a computer system.computer engineeringcomputer > << The purpose of this document is to detail the architecture of the XBRL US GAAP Taxonomies v1.0 (version 1.0). The document also explains the design rationale and how the architecture satisfies the version 1.0 requirements >> Information architecture (IA) is the art of expressing a model of information used in activities that require explicit details of complex systems.modelinformation Information architecture (IA) is the art of expressing a model of information used in activities that require explicit details of complex systems.modelinformation

INFORMATION SYSTEMS AND PROCESSES WHAT IS A TAXONOMY ARCHITECTURE? 3

INFORMATION SYSTEMS AND PROCESSES BANKING SUPERVISORS’ REPORTING PROCESS 4 Credit institutions Supervisor Reporting Requirements (XBRL Taxonomy)

INFORMATION SYSTEMS AND PROCESSES COMMUNICATING OUR REPORTING REQUIREMENTS Definition of financial concepts -Code -Label (different languages, contexts, …) -Basic properties (credit / debit, stock / flow, monetary / ratio...) -References to guidelines -Relationships with other concepts (validation) 5

INFORMATION SYSTEMS AND PROCESSES COMMUNICATING OUR REPORTING REQUIREMENTS 6 Unimpaired assetsImpaired assets [gross carrying amount] Allowances for individually assessed financial assets Allowances for collectively assessed financial assets Allowances for incurrred but not reported losses Carrying amount ReferencesIFRS 7.36 (c)IFRS 7.37; IFRS 7.IG 29 (a) IAS 39 AG.84-86; IFRS 7.37 (b) IAS 39.AG Debt securities IAS Central banks General governments Credit institutions Other financial corporations Non-financial corporates Retail Loans and advancesIAS Central banks General governments Credit institutions Other financial corporations Non-financial corporates Retail Loans and receivablesIAS 39.9; IAS 39.AG Central banks General governments Credit institutions Other financial corporations Non-financial corporates Retail Held-to-maturity investmentsIAS 39.9; IAS 39.AG Concept: Loans and receivables and held-to-maturity investments Dimension Counterparty: Central Banks Dimension Allowance type: Allowances for individually assessed financial assets

INFORMATION SYSTEMS AND PROCESSES 7

BANKING SUPERVISORS’ REPORTING PROCESS 8 Credit institutions Supervisor Extraction process Loading process XBRL Data model

INFORMATION SYSTEMS AND PROCESSES BANKING SUPERVISORS’ REPORTING PROCESS 9 Credit institutions Supervisor Quality checks

INFORMATION SYSTEMS AND PROCESSES REPORTING REQUIREMENTS EVOLVE IN TIME 10 ABCD…XABCD…X ABCD…XABCD…X A’ B’ C’ D’ … Y Z A’ B’ C’ D’ … Y Z FINREP 2012 FINREP 20?? Deprecated New

INFORMATION SYSTEMS AND PROCESSES INFORMATION REQUIREMENTS SUMMARY 1.Definition of concepts 2.“Table” views of concepts 3.Data model 4.Quality checks 5.Correspondence of concepts along different versions 11 Information Requirements

INFORMATION SYSTEMS AND PROCESSES NEXT BRICK… Next step is HOW: - Design approach - Naming conventions 12 CEBS Guidelines Data Matrix Normalized tables Information Requirements Design rules Taxonomy

INFORMATION SYSTEMS AND PROCESSES ARCHITECTURE PRINCIPLES OR PRIORITIES 1.Simplicity of the reporting process 2.Stability and consistency 3.XBRL specifications, IFRS-GP taxonomy and common practice compliance 4.Maintainability of taxonomies 5.Other technical advantages (small size of instance documents, …) 13 Principles

INFORMATION SYSTEMS AND PROCESSES P1: SIMPLICITY OF THE REPORTING PROCESS -Both sides of the communication channel -But we must give a higher priority to the “other side”: its effect is to be multiplied by hundreds -Benefits: -Quality of the data -Data available sooner -Fewer resources needed on the supervisor side to debug data 14

INFORMATION SYSTEMS AND PROCESSES P1: DATA MAPPING -Data mapping is a transformation process between data models -Three data models -Database of the supervisor -Data base of the supervised company -Model represented by our taxonomies (dimensional model) -The simpler the transformations, the simpler the whole process is 15

INFORMATION SYSTEMS AND PROCESSES P1 DATA MAPPING: APPROACHES View oriented approaches -Straightforward approach -Redundancy problems -Less stable 16 Data oriented approaches -More complex but flexible approach -No redundancy -More stable

INFORMATION SYSTEMS AND PROCESSES P1 DATA MAPPING: SUPERVISED BANK’S MODEL CODELABELMAPPING F000 Opening F001 Entry into the consolidation scope F002 Contribution of activity by third parties and mergers F110 Result of the period F115 Result of the period before taxes F116 Taxes of the period F120 Dividends paid out F121 Advances on dividends paid out F123 Dividends received F124 Advances on dividends received Provisions and other oblig. - Long term defined benefit plansBalance sheet Provisions and other oblig. - Other postretirement obligationsBalance sheet Provisions and other oblig. - Other Provisions - Staff / Other long term employee benefitsBalance sheet Provisions and other oblig. - Other Provisions - Staff / Termination benefits (restructuring staff)Balance sheet Provisions and other oblig. - Other Provisions - Staff / Other provisionsBalance sheet Provisions and other oblig. - Litigation claims / staffBalance sheet Provisions and other oblig. - Litigation claims / taxesBalance sheet Provisions and other oblig. - Litigation claims / administrative and other than operationalBalance sheet Provisions and other oblig. - Litigation claims / other operationalBalance sheet Provisions and other oblig. - Restructuring (other than staff)Balance sheet Provisions and other oblig. - Provision for off-balance sheet Credit commitment and guaranteeBalance sheet Provisions and other oblig. - Other provisions (non insurance)Balance sheet Provisions and other oblig. - Onerous contractsBalance sheet Credit Enhancement - Allowance for case basis reserveP&L Credit Enhancement - Loss - Guaranty insuranceP&L Credit Enhancement - Allowance for general reserveP&L Cost of risk - off-balance sheet commitment - specific riskP&L Cost of risk - off-balance sheet commitment - country risk provisionP&L Credit Enhancement - Write-off case basis reserveP&L Credit Enhancement - Write-off loss - Guaranty insuranceP&L Credit Enhancement - Write-off general reserveP&L Cost of risk - write-back / Cost of risk - off-balance sheet commitment - specific riskP&L Cost of risk - write-back / Cost of risk - off-balance sheet commitment - country risk provisionP&L 17 -DEXIA’s provisions tables is a good example (the only example) -Banks databases are based on accountancy systems, which are based on operations -These systems are data oriented -Even if some systems were “view” oriented, we cannot expect homogeneity at this level

INFORMATION SYSTEMS AND PROCESSES P1 DATA MAPPING: XBRL MODEL XBRL is data oriented A fact is identified by a concept (which is global in the DTS) and other dimensions (time, …) Views of the data are represented on the taxonomy (PLB or Rendering), but do not impact data XBRL could be forced to be view oriented By shoving the “table” information in the data model, i.e.: giving internal concept names dependent on the table… But if so, why not use Excel? 18

INFORMATION SYSTEMS AND PROCESSES P1 DATA MAPPING: XBRL MODEL Data oriented approach Easier mapping on the supervised side Better traceability of the data More flexible solution Better maintainability (formulae) Alignment with major XBRL projects Proper use of XBRL 19 View oriented approach Easier mapping for table oriented supervisors solutions Favours manual handling of the data Worse stability (dependency on views) Redundant data Contrived use of the standard

INFORMATION SYSTEMS AND PROCESSES P1: ERROR REPORTING Formula specification ready It solves limitations of previous specifications Working in Banco de España and Banque de France Error messages produced by formulae must be clear to business users 20

INFORMATION SYSTEMS AND PROCESSES P2: STABILITY Changes should have a minimum impact on the reporting process - If the concept doesn’t change, the instance document must not change Internal concept codes must not change if: -There is a change in the naming conventions at business level (or just a correction) -A concept is moved from a template to another, or added to another as part of an extension -A concept is kept from an old version in a new one -There is a change in the business constraints Abstract codification 21

INFORMATION SYSTEMS AND PROCESSES P2: CODIFICATION OF NAMES FRTA (LABEL BASED) APPROACH PREVIOUSLY USED: Examples: AllowancesMovementsForCreditLossesAmountsReversedForEstimatedProbabl eLoanLossesSpecificAllowancesForIndividuallyAssessedFinancialAssetsAn dCollectivelyAssessedFinancialAssetsDebtInstruments OfWhichOriginalOwnFunds Labels are not stable: -Depend on the language -Depend on the context (many COREP concepts have two or more different labels) -IFRS-GP experience / last release of FINREP -Naming approach for extensions? 22

INFORMATION SYSTEMS AND PROCESSES REPORTING REQUIREMENTS EVOLVE IN TIME 23 m12i1 m12i2 m12i3 m12i4 … m12i25 m12i1 m12i2 m12i3 m12i4 … m12i25 m12i1 m12i2 m12i3 m12i4 … m14d1 m14d2 m12i1 m12i2 m12i3 m12i4 … m14d1 m14d2 FINREP 2012 FINREP 2014 Deprecated New

INFORMATION SYSTEMS AND PROCESSES P3: IFRS AND COMMON PRACTICES ALIGNMENT Related to principle 1: -Common concepts identified the same way across different taxonomies -Common structures / patterns modelled the same way But at the same time… -The approaches chosen by other projects can have a negative impact on ours. -A high coupling between two taxonomies can limit its evolution 24

INFORMATION SYSTEMS AND PROCESSES P3: IFRS ALIGNMENT APPROACH: LOOSE COUPLING FINREP uses its own approach, but includes a formula relationships from IFRS-GP facts to FINREP facts -Independent naming conventions -Independent sign conventions -Independent approach for common structures -Banks filing IFRS-GP can create FINREP facts using a standard processor -Different linkbases for different IFRS-GP versions -Most companies still don’t have formula processor (don’t have XBRL processors either) 25 IFRS-GP FINREP instance Form-lb f(ifrs-gp) = finrep Form-lb f(ifrs-gp) = finrep

INFORMATION SYSTEMS AND PROCESSES P4: IFRS ALIGNMENT APPROACHE: HIGH COUPLING Classic approach: FINREP extends IFRS-GP schema -Less effort for bank that are filing IFRS-GP -IFRS-GP concepts follow IFRS-GP naming conventions -Common concepts must have the same naming conventions -Common structures should follow the same approach 26 IFRS-GP FINREP imports instance

INFORMATION SYSTEMS AND PROCESSES P4: IFRS ALIGNMENT APPROACHES: MEDIUM COUPLING Dutch approach: IFRS-GP are created on FINREP schema. A definition linkbase relates common concepts -No need to follow common naming conventions -Common concepts must have the same naming conventions -Common structures should follow the same approach 27 IFRS-GP FINREP instance def-lb

INFORMATION SYSTEMS AND PROCESSES P4: FORMULAE RELATIONSHIPS APPROACH 28 Cash = + Financial assets held for trading + Financial assets designated at fair value through … + Available for sale financial assets Customer resources distributed but not managed > + Collective investment + Insurance products

INFORMATION SYSTEMS AND PROCESSES CONCLUSIONS Establishes more clearly the purpose of the taxonomy Improves the quality of our taxonomy Makes easier the generation of instance documents Makes easier the manipulation of the information and the development of specific tools Provides a more stable framework Allows us to focus on design issues rather than taxonomy edition details 29 Information Requirements Principles Design rules

INFORMATION SYSTEMS AND PROCESSES THANKS FOR YOUR ATTENTION VÍCTOR MORILLA