A survey of data management for risk management
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No area of banking has been so transformed in recent years as risk management.
The pace of change that started with Basel II accelerated after the 2008 financial crisis with a plethora of new regulations that have revolutionised the way business is conducted and risk is managed. This regulatory-inspired change shows no signs of slowing down.
In many ways, risk management is the most data-hungry area of banking, and the industry’s management of data has had to adapt swiftly to a fast-changing environment. In addition to meeting new regulatory requirements, banks have been under increased pressure to contain costs, improve efficiency and reduce their level of operational risk. Data management has had an integral part to play in this process.
Produced in association with risk consultancy InteDelta, this Asset Control white paper covers:
- The organisation of data management for risk management functions – to what extent do firms adopt a centralised versus silo-based approach. Why are they organised in this way and how is this expected to change?
- Data architecture models – current and target end states. The use of Enterprise Data Management solutions within banks
- Drivers for change – internal versus regulatory and other external influences. The most important areas of regulation such as BCBS 239 and the Fundamental Review of the Trading Book are explored in some detail
- Data quality
Download our A survey of data management for risk management Whitepaper
Researched in association with risk consultancy InteDelta, this Asset Control white paper discusses data management for risk management, including organizational and data architecture models.