12:00 - 13:00
Invited Paper Session
Room: Hegelsaal I
Chair:
Aurel Schubert
Organiser/s:
Per Nymand-Andersen
This session will address the challenges of working with structured and unstructured micro-level data often referred to as big data. What are the challenges in the current digital and technical transformation and how can the statistician benefit from these developments. This session will present results from using big data for supplementing the existing available statistics. The challenges of using big data tools, techniques in detecting outliers, modelling for providing new insights, ethical considerations, sharing of data among official institutions, skills and techniques of data scientists
Financial stability work and micro data: opportunities and challenges
Bruno TISSOT
Bank for International Settlements, BASEL

Public authorities working in the financial stability area have shown an increasing interest for big data. Yet Financial Big Data are quite specific. They primarily consist of the very large though relatively well-structured datasets derived from administrative and financial activities, for which new private data sources play a major role. Accessing Financial Big Data can provide many opportunities for public authorities, but also specific challenges when handling these data and using them to support policy.


Reference:
Th-IPS02-03
Session:
The need for granular data and the impact of new private data sources
Presenter/s:
Bruno TISSOT
Presentation type:
Oral presentation
Room:
Hegelsaal I
Chair:
Aurel Schubert
Date:
Thursday, 18 October 2018
Time:
12:00 - 13:00
Session times:
12:00 - 13:00