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CEN Workshop Agreement

Status: Working Group Working Draft

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Contents 1 Foreword 2 Introduction 2.1 Objective 2.2 Target Audience 2.3 Relationship to Other Work 3 Scope 4 Normative references 5 Terms and definitions

Foreword

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Introduction

The Data Point Methodology consists of a set of methodical procedures to create a multidimensional data point model that reflects detailed business aspects of supervisory frameworks. The result of the implementation of these procedures is a data point model which provides data structures represented in supervisory tables and underlying regulations that can be interpreted by IT applications. Data point models are created by banking specialists who are highly skilled in understanding supervisory reporting frameworks. This document defines technical requirements on data point models that need to be fullfilled when using data point models (1) for generating data formats for the reporting process or (2) for designing multidimensional database structures for the analysis of supervisory data.

The document intend to support the communication between supervisory experts and IT experts by introducing the concept of data point modelling and its underlying terms.

This guidance is in the form of notes in association with the pertaining requirements clause and uses the terms “MUST” (strong recommendation), “SHOULD” (recommendation) and “MAY” (possibility). Organizations wishing to implement this CWA (CEN Workshop Agreement) would be expected to consider all recommendations where the terms "MUST" and “SHOULD” are used.

Objective

A Data Point Modell consists of objects that reflect the supervisory data and its relations among each other that can be communicated and understood by computers. The objects of a data point model described in this document facilitate the ease of understanding of the data structure for technicians and reflects the rules to be met when using a data point model as basis for the generation of a data format or as basis for analysis purposes.

Target Audience

This document is being created to support Information Technology (IT) experts in the transfer of content from regulatory reporting to IT systems. It assumes that the reader has a working knowledge of the XBRL 2.1 and the XBRL Dimensions 1.0 Specifications as Data Point Models are being used as basis for generating XBRL taxonomies. Furthermore basic knowledge about Business Intelligence is assumed to understand the rules to be followed when designing multidimensional database structure for data warehouses.

Relationship to Other Work

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Scope

The Data Point Methodology has been defined for the creation of data point models in the context of European supervisory reporting. Data Point Models are published by an European supervisory authority and accompanied by an XBRL taxonomy to reflect the defined data structures in a machine-readable form.

Normative references

There are currently no normative references.

Terms and definitions

There are no formal definitions that are taken from other documents.