Key decisions are data-driven. Therefore, data should be of the highest quality.
Germany's central bank, the Deutsche Bundesbank, must naturally be data-driven to meet its task in the Eurosystem that mainly aims at safeguarding prices but also financial stability.
The demand for and supply of highly granular microdata has risen significantly within and outside the Bundesbank, which calls for methods and skills beyond Excel.
Therefore, we want to give students a glimpse into how we develop advanced data products using Data Engineering, Data Analytics, Data Visualization and Data Science tools to cope with massive amounts of data while at the same time ensuring high data quality.
Objectives:
Students will get an insight into the Deutsche Bundesbank, the Advanced Data Products team and its role in supporting decision making in the financial domain by providing high-quality data. Join our session and experience firsthand how the Bundesbank tackles challenging and complex data problems.
Contents:
The workshop consists of three parts:
1. The Deutsche Bundesbank, its structure and main objectives
2. The role of the Advanced Data Products team
3. A case study on data quality management via the Python framework "Great Expectations"
Methods:
An interactive presentation
Lecturer:
Robin Baudisch, Data Scientist at the Bundesbank
Marlene Ryan, Data Analyst at the Bundesbank
Company:
The Deutsche Bundesbank is the independent Central Bank of Federal Republic of Germany. Eurosystem monetary policy is the Bundesbank's core business area. In addition, the Bundesbank performs other key tasks at both the national and international level. Amongst these are national supervision of credit institutions, payment systems and financial stability as well as statistics. To fulfil its tasks, the Bundesbank relies on detailed, high-quality data sources.
Target group:
Bachelor and master students with a strong quantitative background in the fields of statistics, computer science, data science, economics, business studies and alike.
Registration: Follow the link here
Time: 16:00–18:00 o´clock
Venue:
Goethe-Universität Frankfurt am Main/Campus Westend
Raum: Seminarhaus, SH 3.104
Max-Horkheimer-Str. 4
60629 Frankfurt am Main
Wegbeschreibung