About a-team Marketing Services
The knowledge platform for the financial technology industry
The knowledge platform for the financial technology industry

A-Team Insight Blogs

Opinion: A Smarter Approach to the New Austrian Reporting Requirements

Subscribe to our newsletter

By Lauren Dearmer, Product Marketing Manager, Wolters Kluwer Financial

Over the last couple of years Austria’s Central Bank, the Oesterreichische Nationalbank (OeNB), has been working with the financial services industry to radically restructure the way in which financial data is reported. The project was initiated to ‘improve the data quality, specifically methodological soundness and data accuracy, consistency and reliability, and at the same time to enhance flexibility and reduce the cost of the reporting system for both the compiler and the reporting agent’.

The common data model that has been prescribed to fulfill this objective is comprised of two key interlinked tenets – the ‘Basic Cube’ and ‘Smart Cubes’. The Basic Cube provides a unique, standardized, exact, and therefore unambiguous definition of individual business transactions and their attributes which in turn enables firms to aggregate or calculate and report multi-dimensional Smart Cubes – a mandatory requirement for all Austrian financial institutions starting from mid-2015.

Smart Cubes will enable the harmonization of the data collection methods to ensure data consistency and efficient data quality processes, and thus effectively and efficiently cover nearly all Austrian reporting requirements.

The logic behind this new model is clear and sound, and while the process will involve some significant infrastructural change, it also provides an opportunity for firms to look deeper at the other potential benefits that can be garnered from this particular compelling event. All of the compilation, revision and coordination of existing databases can, in fact, have an impact outside of the reporting requirements stipulated in the common reporting data model.

For example, firms can realize significant operational efficiencies by implementing a platform that not only provides Basic Cube and Smart Cube functionality but also has a future-proof architecture enabling the addition of modules that can handle the many and varied changes triggered by Basel III, CRD IV, or the expected adaptation to Europe-wide regulatory standards such as IFRS and FINREP.

By looking at the OeNB’s requirements in a lateral way, and working with a third party that has technology, content and consulting in the areas of Finance, Risk and Compliance, firms can head with confidence towards the manifold regulatory deadlines facing them.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: GenAI and LLM case studies for Surveillance, Screening and Scanning

As Generative AI (GenAI) and Large Language Models (LLMs) move from pilot to production, compliance, surveillance, and screening functions are seeing tangible results – and new risks. From trade surveillance to adverse media screening to policy and regulatory scanning, GenAI and LLMs promise to tackle complexity and volume at a scale never seen before. But...

BLOG

A-Team Group Announces Winners of RegTech Insight Awards Europe 2026

A-Team Group has announced the winners of its RegTech Insight Awards Europe 2026. The awards recognise both established providers and innovative newcomers providing RegTech solutions to capital market participants that significantly improve their ability to respond effectively to evolving and increasingly complex regulatory requirements. This year’s RegTech Insight Awards Europe included categories spanning the regulatory...

EVENT

RepRisk Sustainability Breakfast Roundtable London

The London sustainability breakfast is part of the global roundtable thought leadership event series hosted by RepRisk in key markets, including, New York, Toronto, London, Frankfurt, Oslo, Copenhagen, Stockholm, Hong Kong and Singapore in 2026.

GUIDE

AI in Capital Markets Handbook 2026

AI adoption in capital markets has moved into a more disciplined phase. The priority is now controlled deployment: where AI can be used safely, where it can deliver measurable value, and how outputs can be governed, monitored and evidenced. The 2026 edition of the AI in Capital Markets Handbook examines how AI is being applied...