Data Management
From reporting obligation to data model
In Data Management, a reporting requirement becomes something your data teams can actually build against: the data requirements behind it, the business terms that define them, and the mapping onto your logical data model.
Three sequential parts of the chain, covered
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Generate and set data requirements
Using context from your policies, regulations and industry standards.
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Link and improve your business glossary
Match data requirements to your existing business glossary terms. Helia proposes new terms where needed.
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Link and improve your logical data model
Map the results to your logical data model, Helia proposes improvements where needed.
AI prepares. Your experts approve
Every artefact is produced in two passes: Helia drafts it from the source regulation, then a named reviewer accepts, edits or rejects it. Nothing moves to the next layer on the AI’s word alone.
Drafted from the source
Requirements and definitions are derived from the context you set.
Assign it as work
Accept, edit or reject each draft individually, rather than signing off a whole batch blind.
Editable and always with reasoning
Every change records who made it and what it replaced, so the reasoning survives the handover.
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Next in the workflow
Every data requirement traces back to the regulation text in Regulatory Nexus.
Let us take you further
Schedule a 30 min call. No slide decks. Just a practical assessment of your needs and how we can help.