Tag: datamodelling
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The Potential of XBRL as a Semantic Layer
As enterprises increasingly adopt cloud-native platforms for data management, they begin to realise that the semantic layer is the piece that makes raw data meaningful to humans and to AI. XBRL already plays this role in regulatory reporting to help…
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Digital Reporting and XBRL Multi Target Documents
The UK’s UKSEF framework does something unusual: it combines multiple XBRL taxonomies using a Multi Target Document (MTD) approach, rather than providing a single base taxonomy. It is a choice that can create real headaches for vendors and analysts. Drawing…
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What links Datapoints, Label Encoding, XBRL, and AI?
Generating a random, short code for referencing a data item in various IT systems is essential, however it introduces special challenges for how XBRL collection systems operate, as XBRL is a semantic approach. Meaningless codes used for XBRL labels costs…