Award-Winning European Transaction Data Suppliers & Buyers 

Researchers at the IMF have published another working paper using Fable's data. The paper demonstrates the advantages of having high-frequency data to help improve the identification of the effects of monetary policy. The differences are particularly noticeable when compared to more traditional data sources on consumption, which are usually subject to less frequent aggregation. Additionally, they exploit the detailed information attached to each consumer transaction to understand exactly how monetary policy affects different types of consumption.

View our blog post here or read the full report here

Using Fable’s transaction data to obtain consumption trends at a local level and in real-time, researchers from the University of Nottingham’s Centre for Inclusive Financial Technology have published a report that rethinks the design of levelling up policy. They use a machine learning model to split local authorities across Britain into 6 clusters based on economic characteristics. The report demonstrates the amount of economic diversity within the larger geography of regions and recommends that policy is targeted at the local rather than regional level.

Read the full report here.

This research from John Gathergood et al. looks at the varying rates of recovery in consumer spending across UK regions in the second half of 2020

The Bank of International Settlement (BIS) /The Irving Fisher Committee (IFC) in collaboration with the Bank of Italy has just released its Bulletin on Data Science and Machine Learning in Central Banking. This includes a report on card based payments, and the unique emerging data science opportunities that card data can provide. The study references Fable’s consumer transaction data. Read more here

Fable Data have partnered with the University of Nottingham on their Track the Economy dashboard, a real-time economic tracking tool designed to support managerial decision making and policy formulation

Fable Data has partnered with Earnest Research to report on changes in consumer spending during the pandemic across the US, UK and Germany.

Per Nymand-Andersen, adviser to the European Central Bank and Fable Data, recently spoke about the potential for real-time spending data to inform monetary policy at a BIS event on ‘Data Science in Central Banking’. View his presentation – Part 1, Session 3.1 – here

Using Fable’s transaction data for the UK and Germany, the International Monetary Fund (IMF) has released a Working Paper on changing consumption patterns, and the resulting inflation bias during the COVID-19 pandemic. The paper uses Fable’s data to update the official inflation weights and quantify the resulting inflation bias, as official weights become outdated when consumption habits change quickly. View our blog post here or read the full report here

Hear Benjamin Lucas from the University of Nottingham speak about ‘The Covid-19 Recovery and Beyond: tracktheeconomy.ac.uk’, a project using Fable’s data.

Hear Fable Data speak at CDO Magazine's ‘Data for Good Summit’ 10 March 2022, on the topic of ‘Anonymised Transaction Data as a Force for Good’. We discussed our pro-bono work with the world’s leading economic and financial institutions. Watch the recording here.