What type of information?

Data Models can be developed for various reporting areas reflecting specific of exchanged information defined in the legal acts.

How to define it?

Depending on the purpose of the exchanged information, Data Models may be developed in different way, each time following best practices of the data architecture

Who is it for?

Data Models constituting foundations of the electronic data dictionaries can be developed for purposes of various types of users, supporting internal reporting, such as consolidation of the company financial accounts, or external (supervisory) data exchange.

Why to use it?

Data Models constitute important part of broader mechanisms established for such a purpose like capital market transparancy or financial sector stability.

Financial, fiscal

“Traditional” financial reporting based on IFRS, US GAAP, IPSAS, national GAAP. Public insitution reporting for purposes of national budget. Sector specific (e.g. coal and mining, fishing, transportaion) reporting.

Prudential, statistical

Basel II, CRD IV/CRR, Solvency II, BSI-MIR, IFRS or country specific based reporting of credit institutions, insurance undertakings and other non-financial entities (e.g. broker offices). Balance of international payment related information.

Non-financial

The Global Reporting Initive (GRI) based social, environmental, and governance perfomance sustainability reporting. Manufactured, intellectual, human, social and other capitals of the Integrated Reporting (IR).

DPM

Data Point Model (DPM) based reporting suitable especially for supervisory purposes of finacial (banking, insurance) sector. Broadly used by European Banking Authority (EBA), European Insurance and Occupational Pensions Authority and European and Asian national supervisory authorities.

ITA

Data Models  based on the International Taxonomy Architecture (ITA) suitable for defining scope of financial reporting frameworks for purposes of the securities and exchange commissions.

GL

General Ledger (GL) based data architecture suitable for defining data exchange frameworks of low level transactional information.

Authorities

Banking, Insurance, Capital Market supervisors. Central Banks, Business Registers, Tax and Statisical Offices, non-fincial sector supervisory authorities. National budget monitoring institutions.

Companies

Listed companies preparing company specific extensions for purposes of market and securities authority. Large holdings and capital groups consolidation individual financial statements from numerous entitites

NGOs

Non-government institutions collecting financial and non-financial information from different sources (e.g. listed companies, micro finance insititutions) providing value added information for purposes of market transparency.


Transaprency

Developing of Data Models for purposes of collection, dissemination and analysis of financial performance of listed companies.

Stability

Data Model as logical layer of data information exchange for purposes of financial and non-financial market supervision. Explicit and coherent  information reported in this format provides one of fundaments for ensuring stability of the market.