Please use this identifier to cite or link to this item:
Bašić, Ines
Year of Publication: 
Series/Report no.: 
ECB Statistics Paper 25
As the European Reporting Framework (ERF): Key facts and information1 report has recognised, some countries have already implemented integrated "statistical" and supervisory reporting requirements at a granular level. Croatia is one of these countries. Moreover, Croatia has been able to produce a local "AnaCredit" system on a loan-by-loan basis for legal entities and non-residents (see the ECB MFI list2 or Annex 4 of the Banks' Integrated Reporting Dictionary of the Croatian National Bank3), and at an aggregate level for households, other non-residents and small businesses, using the same underlying data as for statistical and prudential reporting. A Croatian granular data system at a counterparty level for legal entities/non-residents on the list and at an aggregate level for households, other non-residents and small businesses was developed in 2007/2008 following a series of workshops held among colleagues from Supervision, Statistics and IT at the Croatian National Bank (CNB) and credit institutions. One of the most important deliverables of the project was the CNB Banks' Integrated Reporting Dictionary, a document in which all attributes collected by the system are listed, organised into categories, described and explained, and where examples and the methodologies used are provided. In Croatia, the CNB Banks' Integrated Reporting Dictionary is mandatory for all credit institutions, and it has been enforced on the financial market following a decision of the Croatian National Bank Governor. This article discusses granular data modelling for the purpose of statistical, supervisory and European Central Bank reporting and analysis.
granular data
data warehouse
Croatian National Bank
Persistent Identifier of the first edition: 
Document Type: 
Working Paper
Social Media Mentions:

Files in This Item:

Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.