Tag: datamodelling
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What links Datapoints, Label Encoding, XBRL, and AI?
The notion that abstract encoding is bad for Large Language Models (LLMs), leads to the assumption that it must be unhelpful for human understanding. Generating encoded labels for various IT applications is essential, however it introduces special challenges for how XBRL collection systems operate. Evaluating the impact of the abstract encoding on the 27 European…
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Improving XBRL for Data Modelling
There is a fundamental conflict between the modelling approaches of XBRL and the Data Point Methodology (DPM). The EBA and EIOPA use both. This raises the questions of they use both, is there a weakness in one of the approaches, or is it just a lack of understanding. Reviewing the key requirements of large reporting…