Improved Central Bank Data Management in a Digital Age 2021 | Infopro Digital Risk (IP) Limited | 21 January 2021 | Webinar

Data is crucial for central banks to make effective policy decisions, but many rely on traditional indicators which are no longer fit for purpose. New infrastructures of data have the potential to provide central banks with a real-time snapshot of the economy, but the reliance on old legacy data systems and outdated technology means that the data collected is fragmented.

Using the current infrastructure, data harmonisation is difficult, inaccurate, costly and resource intensive. While some central banks have adopted new tools such as artificial intelligence and machine learning to help ease some of these challenges, many are not yet making use of new informative data architecture which have the power to improve policy decision making.

TCSA have developed a new economic model - named the 'data brain' or algorithm unit - which is able to transform disparate micro and macro data points into standardised data sets.

The webinar will discuss:
• Where do central banks see the biggest opportunity in improving data architecture?
• What challenges do central banks face when collecting, aggregating and analysing economic data from new sources?
• What technology/models could be used to mitigate these problems?
• Issues around data privacy and data governance in a digital environment
• Is data driven policy making the future of central banking?

2021 Speakers

Dan Hinge
News Editor, Central Banking

Per Nymand-Andersen
Advisor, European Central Bank

Eric Santor
Advisor, Bank of Canada

2021 Partner

• TCSA