Data gaps and quality gaps analysis for financial institutions data chains
The NEEM Hub has introduced a data-driven approach to estimating the energy efficiency of buildings. This approach allows banks and other providers of finance to easily identify potential investments in energy efficiency.
Pilot studies have demonstrated the promising potential of this approach However, it is crucial to note that the effectiveness of a data-driven approach relies heavily on the quality of the data used. This report delves into the data quality and identifies potential data gaps and the effects of any issues on the utility of the NEEM solution. More specifically we consider problems relating to energy consumption data, static building data and weather data.
We find that heating data poses the most significant challenge in Denmark and Norway, as other types of data can be accessed via central data hubs. Scaling up the NEEM solution will need to include data from more district heating providers, which is often less systematised. Furthermore, we point to potential problems in the future connected to the increased use of electric heating and electric vehicles, which we consider to be the primary threat to data quality in the Nordic countries.