Monitoring the quality of models in the context of the complexity of banking regulation and changing input data
Project goal
is to synthesise of structural and statistical methods for text analysis in the tasks of regulatory burden on banks (RNB) assessment.
The development of data mining allows us to move to a new level in tasks that require the analysis of normative and legal acts and other legal documents with the subsequent processing of knowledge extracted from the texts.
Project tasks:
Organisation and verification of dataflow.
Organisation of work environment with analysis results in the form of interactive dashboards.
Data quality management (data quality), both initial and intermediate data.
Project results:
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- collected statistics
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- tools for conducting a ‘reproducible computational experiment’
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- historical and trend analyses
What does the end user - the bank analyst - get?
– An effective tool for analysis and decision-making.
The project was implemented jointly with a partner
Project team
Ускова (Куликова) Дина Валерьевна
