Data Management Roundtable

Data Management Roundtable

March 4: How can central banks improve data management in a digital age?

A great opportunity to discuss improving developments in data management and interact with your peers by sharing your views and ideas.

Central Banking and TCSA will be hosting an interactive roundtable discussion on improving data management for central banks decision making.  This roundtable will follow on from the informative webinar that took place on 21st January 2021. If you haven’t had a chance to watch this, please watch it here.

Benefits of attending: 

  • Your chance to comment and get involved in the discussion  
  • Share best practices and common challenges
  • Chance to be a part of a forward looking discussion
  • Variety of central bank perspectives 

Register for the roundtable

Join our esteemed speakers for a chance to be a part of this important discussion: 

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Daniel Hinge

Editor - benchmarking

Central Banking

Eric Santor

Bank of Canada

Advisor to the governor

Howard Chang

Vice President of Global Affairs

TCSA

Per Nymand-Andersen

Emeritus adviser

European Central Bank

 

Per Nymand-Andersen has over 25 years of Central Banking Experiences and was part of creating and developing the European Central Bank from scratch. Per has developed his expertise in banking and financial markets, fintech, data science, communications, securities settlement systems, statistics and Management.

Per holds several Fintech/data science Advisor Board positions in private and simi-public organisations. Per is a Lecture at Goethe-Universität Frankfurt and is a frequent speaker at international events and author of several publications/articles regarding financial markets, data science, communication and statistics. His recent renown book “Data science in Economics and Finance for Decision Makers” was published by Riskbooks.com.

Prior to joining the ECB, he provided market research consultancy services for the European Commission, Luxembourg.

Per has an MBA in Economics and Management Science from Copenhagen Business School, Denmark and has a Fintech certificate from Harvard University.

Per speaks four languages (English, German, French and Danish).

Further details: https://www.linkedin.com/in/per-nymand-andersen-81609913

Wanpracha Chaovalitwongse

Senior director department of data management and analytics

Bank of Thailand

Dr. Wanpracha Chaovalitwongse is Senior Director and Head of Data Management and Analytics at Bank of Thailand. Before joining BOT, he served as the 21st Century Leadership Endowed Chair in Engineering, Professor of Industrial Engineering, and Co-Director of the Institute of Advanced Data Analytics at the University of Arkansas. He previously held faculty positions at University of Washington, Princeton University and Rutgers University. Before working in academia, he worked at the Corporate Strategic Research, ExxonMobil Research & Engineering. He currently holds three patents of seizure prediction system and an intellectual property on opioid risk prediction tools. He has been invited to give lectures in top institutions around the world including Amazon, Facebook, MIT, Princeton University, University of Michigan, University of London, National University of Singapore, Peking University, Chinese Academy of Sciences, City University of Hong Kong, Seoul National University, and KAIST.

Santiago Cortes

General Manager of Global Affairs

TCSA

Prior to joining the TCSA team, Santiago founded a private consultancy specializing in government tenders for public advertising campaigns.

Throughout his career, Santiago also lived and worked in Brazil, Colombia and Guatemala, where he has advised local and national governments on digital and media strategies.

March 4th

6am EST/ 11am GMT/ 12pm CET/ 8pm SGT (60 minutes)

11:0011:05

Opening remarks and roundtable rules

11:00 - 11:05

11:0511:20

10 minute presentation on the challenges faced in data management and TCSA solution

11:05 - 11:20

11:2011:40

Panel discussion

11:20 - 11:40

Daniel Hinge

Editor - Benchmarking

Central Banking Publications

Dan is Central Banking’s assistant editor and subject specialist for the monetary policy and economics benchmarks. He joined Central Banking as a reporter in 2012.

Howard Chang

Vice President of Global Affairs

TCSA

Eric Santor

Bank of Canada

Advisor to the governor

Per Nymand-Andersen

Emeritus adviser

European Central Bank

 

Per Nymand-Andersen has over 25 years of Central Banking Experiences and was part of creating and developing the European Central Bank from scratch. Per has developed his expertise in banking and financial markets, fintech, data science, communications, securities settlement systems, statistics and Management.

Per holds several Fintech/data science Advisor Board positions in private and simi-public organisations. Per is a Lecture at Goethe-Universität Frankfurt and is a frequent speaker at international events and author of several publications/articles regarding financial markets, data science, communication and statistics. His recent renown book “Data science in Economics and Finance for Decision Makers” was published by Riskbooks.com.

Prior to joining the ECB, he provided market research consultancy services for the European Commission, Luxembourg.

Per has an MBA in Economics and Management Science from Copenhagen Business School, Denmark and has a Fintech certificate from Harvard University.

Per speaks four languages (English, German, French and Danish).

Further details: https://www.linkedin.com/in/per-nymand-andersen-81609913

Wanpracha Chaovalitwongse

Senior director department of data management and analytics

Bank of Thailand

Dr. Wanpracha Chaovalitwongse is Senior Director and Head of Data Management and Analytics at Bank of Thailand. Before joining BOT, he served as the 21st Century Leadership Endowed Chair in Engineering, Professor of Industrial Engineering, and Co-Director of the Institute of Advanced Data Analytics at the University of Arkansas. He previously held faculty positions at University of Washington, Princeton University and Rutgers University. Before working in academia, he worked at the Corporate Strategic Research, ExxonMobil Research & Engineering. He currently holds three patents of seizure prediction system and an intellectual property on opioid risk prediction tools. He has been invited to give lectures in top institutions around the world including Amazon, Facebook, MIT, Princeton University, University of Michigan, University of London, National University of Singapore, Peking University, Chinese Academy of Sciences, City University of Hong Kong, Seoul National University, and KAIST.

Santiago Cortes

General Manager of Global Affairs

TCSA

Prior to joining the TCSA team, Santiago founded a private consultancy specializing in government tenders for public advertising campaigns.

Throughout his career, Santiago also lived and worked in Brazil, Colombia and Guatemala, where he has advised local and national governments on digital and media strategies.

11:4012:00

Audience questions and comments

11:40 - 12:00

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 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 roundtable discussion will cover: 

  • 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?

REGISTER FOR THE ROUNDTABLE