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XBRL taxonomy development and advisory for structured financial reporting
Xtelligent Data ApS occupies a highly specialised niche in the Nordic financial reporting landscape: the development and advisory of XBRL taxonomies. Based in Copenhagen, the firm was established to address a gap that few consultancies are equipped to fill — the intricate technical and semantic work that underpins structured, machine-readable financial reporting. Its founding philosophy is captured in a simple but powerful conviction: value creation begins not when the first digital report is filed, but during the design of the taxonomy itself.nnAt the helm is founder Niels-Peter Rønmos, whose expertise in XBRL and taxonomy architecture positions Xtelligent Data as a rare specialist in a field where generalist consultancies routinely struggle. The firm works with organisations that need to either develop new XBRL taxonomies or optimise existing ones — whether for regulatory compliance, investor reporting, or interoperability with emerging digital reporting standards across Europe and beyond.nnSince 2021, Xtelligent Data has operated as an authorised partner for the Fujitsu Interstage Xwand Toolkit, widely regarded as one of the market-leading platforms for XBRL processing and taxonomy management. This partnership allows the firm to deliver not just strategic advisory, but hands-on technical implementation backed by enterprise-grade tooling — a combination that sets it apart from purely advisory players in the space.nnThe firm serves clients and partners operating in regulated industries where structured data reporting is becoming increasingly mandatory — from financial institutions navigating ESAP and ESEF requirements to public-sector bodies adapting to evolving digital disclosure frameworks. Xtelligent Data’s work is inherently cross-border in character, engaging with international taxonomy standards while remaining rooted in the Danish and Nordic regulatory context.nnFor organisations facing the complexity of digital financial reporting, Xtelligent Data ApS offers something rare: deep domain expertise, vendor-grade tooling access, and a founder-led approach that ensures every engagement benefits from the firm’s highest level of knowledge and commitment.
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Niels-Peter Rønmos is the founder of Xtelligent Data ApS and a specialist in XBRL taxonomy development and digital financial reporting. He brings deep technical and advisory expertise to clients navigating the complexities of structured data reporting standards. His philosophy centres on driving value from the earliest stages of taxonomy design rather than treating it as a downstream compliance exercise.
Challenge
A financial sector organisation required the development of a bespoke XBRL taxonomy to support structured digital reporting obligations. Ex…
Outcome
The organisation achieved a fit-for-purpose XBRL taxonomy that enabled compliant, machine-readable digital reporting, r…
Challenge
A public-sector or regulatory body needed to assess and improve an existing XBRL taxonomy to meet evolving digital reporting requirements. …
Outcome
The revised taxonomy improved reporting consistency across submitting entities and enhanced the interoperability of the…
Xtelligent Data ApS is engaged by financial institutions and public-sector bodies that need more than a generalist's understanding of structured reporting — they need someone who can architect the taxonomy itself. Clients consistently experience a founder-led engagement where Niels-Peter Rønmos brings both semantic precision and hands-on technical implementation using the Fujitsu Interstage Xwand Toolkit. The firm's defining characteristic is its conviction that compliance outcomes are shaped long before the first report is filed, and this upstream focus translates into taxonomies that hold up under regulatory scrutiny and reduce reconciliation burden for downstream data consumers. Engagements tend to be technically intensive and consultative in equal measure, with clients in regulated industries citing improved data interoperability and reduced friction for reporting entities as the clearest markers of value delivered.
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