This document provides guidelines for data point modelling for supervising experts. The main body consists of four sections. The interrogative form helps in choosing which section may best answer your question and lead you to a good understanding of the subject matter.<\/p>\n
After this first introductory section and the section containing terms and definitions, the main part starts to provide basic knowledge about different types of data models and data modelling approaches. The first and the second sections provide an overview of data models in general, in contrast to the third section that highlights the necessity of data modelling for supervisory data. This third section draws on the objectives and background information of the preceding sections. Furthermore, a paragraph classifies the Data Point Model introduced by the Eurofiling Initiative and elaborated by EIOPA and EBA, where many new terms related to DPM are introduced. Another paragraph explains the areas of application for the DPM. The third section concludes with a paragraph introducing a subset of the technical constrains that need to be considered in the creation process of the DPM. The fourth section gives step-by-step instructions on how to create a DPM. The paper concludes with remarks on the progress achieved so far, and provides an outlook on the software that is being developed at the moment to support you during the creation process.<\/p>\n
| PDF Pages<\/th>\n | PDF Title<\/th>\n<\/tr>\n | ||||||
|---|---|---|---|---|---|---|---|
| 2<\/td>\n | undefined <\/td>\n<\/tr>\n | ||||||
| 6<\/td>\n | Foreword <\/td>\n<\/tr>\n | ||||||
| 7<\/td>\n | Introduction <\/td>\n<\/tr>\n | ||||||
| 9<\/td>\n | 1 Scope 2 Normative references 3 Terms and definitions <\/td>\n<\/tr>\n | ||||||
| 11<\/td>\n | 4 What is a data model 4.1 General 4.2 The term \u201cmodel\u201d 4.3 Data-oriented process of modelling <\/td>\n<\/tr>\n | ||||||
| 12<\/td>\n | 4.4 The conceptual data model as a first step aiming for a database system 4.5 Description of data modelling approaches for supervisory purposes 4.5.1 General <\/td>\n<\/tr>\n | ||||||
| 13<\/td>\n | 4.5.2 Using the \u201cform centric\u201d modelling approach <\/td>\n<\/tr>\n | ||||||
| 14<\/td>\n | 4.5.3 Using the \u201cdata centric\u201d modelling approach <\/td>\n<\/tr>\n | ||||||
| 16<\/td>\n | 4.6 Description of dimensional modelling <\/td>\n<\/tr>\n | ||||||
| 17<\/td>\n | 4.7 The concept of normalization <\/td>\n<\/tr>\n | ||||||
| 21<\/td>\n | 5 Why use a multidimensional data model 5.1 General 5.2 Multidimensional data model <\/td>\n<\/tr>\n | ||||||
| 22<\/td>\n | 5.3 Operations that can be carried out on a multidimensional data model <\/td>\n<\/tr>\n | ||||||
| 24<\/td>\n | 6 Why data modelling is essential for collecting supervisory information 6.1 General 6.2 Objective of Data Point modelling <\/td>\n<\/tr>\n | ||||||
| 26<\/td>\n | 6.3 Main features 6.3.1 Increase of knowledge and understanding 6.3.2 Improvement of integration of changes <\/td>\n<\/tr>\n | ||||||
| 27<\/td>\n | 6.3.3 Reduction of risk of duplicate information <\/td>\n<\/tr>\n | ||||||
| 30<\/td>\n | 6.3.4 Higher harmonization <\/td>\n<\/tr>\n | ||||||
| 31<\/td>\n | 6.4 Classification of Data Point modelling in the data modelling concept <\/td>\n<\/tr>\n | ||||||
| 32<\/td>\n | 6.5 Area of application <\/td>\n<\/tr>\n | ||||||
| 33<\/td>\n | 6.6 What are the technical constraints <\/td>\n<\/tr>\n | ||||||
| 34<\/td>\n | 7 How do you proceed in creating a Data Point Model 7.1 General <\/td>\n<\/tr>\n | ||||||
| 35<\/td>\n | 7.2 Define dictionary elements <\/td>\n<\/tr>\n | ||||||
| 36<\/td>\n | 7.3 Specify hierarchies <\/td>\n<\/tr>\n | ||||||
| 37<\/td>\n | 7.4 Define Data Points 7.5 Define normalized tables and ensure quality of Data Point Model <\/td>\n<\/tr>\n | ||||||
| 39<\/td>\n | 7.6 Distribute Data Point Model 8 What the future holds for us <\/td>\n<\/tr>\n | ||||||
| 42<\/td>\n | Bibliography <\/td>\n<\/tr>\n<\/table>\n","protected":false},"excerpt":{"rendered":" Improving transparency in financial and business reporting. Harmonization topics – Guidelines for data point modelling<\/b><\/p>\n |