Data Quality is receiving more and more attention within the financial sector, and deservedly so. That’s why DNB will start a pilot in September with the insurance sector to enable entities to run locally the required open source code and to evaluate Solvency 2 quantitative reports with our Data Quality Rules.
In the coming weeks we will:
- publish code to evaluate additional validation rules (in extension of the validation rules in EIOPA’s XBRL taxonomy) on our Data Quality Rules repository on Github (https://github.com/DeNederlandscheBank/solvency2-rules);
- publish new detailed Data Quality Rules that we constructed with our data-patterns package (https://github.com/DeNederlandscheBank/data-patterns); and
- introduce a version control system for validation rules.
With these tools you are able to assess the data quality of your Solvency 2 quantitative reports before submitting them to DNB. You can do that within your own data science environment.
We worked hard to make this as easy as possible; the only thing you need is Anaconda / Jupyter Notebooks (Python) and Git to clone our repositories from Github (all free and open source software). And of course the data you want to check. We also provide code to evaluate the XBRL instance files.
We are planning workshops to explain how to use the code and validation rules and to go through the process step by step.
Want to join or know more, please let me know (w.j.willemse at dnb.nl).