by Chris Mills | Sep 3, 2021 | Products, Quality, Solutions, XBRL
New taxonomies are published by regulators for a variety of reasons, to fix issues, introduce new report types or to apply year-on-year changes. CoreFiling customers are used to being given access to new versions of reports well before they are required, but how do we...
by Katherine Haigh | Jul 27, 2021 | Quality, Solutions, Taxonomy, XBRL
In this age of digital reporting, hundreds of XBRL taxonomies are published every year. Our analysis at CoreFiling shows that there are a few common mistakes that repeatedly crop up in such taxonomies. These issues can limit their usefulness, slow down implementation...
by Ben Russell | Jul 7, 2021 | Digital Future Reporting, Extensibility, Interactive Data, Taxonomy, XBRL
In this post we consider how relationships between the growing number of digital reporting standards can be engineered to increase the efficiency of the data across reporting ecosystems. Digital standards Reporting standards usually contain a narrative supported by...
by Sam Stancombe | Jun 21, 2021 | IASB, Inline XBRL, Seahorse, Solutions, Taxonomy, True North, XBRL
CoreFiling is naturally following the evolution of ESEF reporting and has already taken the opportunity to analyse some of the published filings. One area of interest is how companies are extending the taxonomy using the anchoring mechanism. This type of analysis can...
by Andy Greener | Jan 31, 2018 | Taxonomy, XBRL
What is instance document integrity? Any discussion about the capabilities of XBRL taxonomies would be incomplete without considering mechanisms that help to ensure the integrity of instance documents prepared in accordance with them. But what do we mean by...
by Ben Russell | Dec 12, 2017 | Fraud, Taxonomy, True North, XBRL
By Ben Russell, Specialist Sales Consultant Chair of Taxonomy Architecture Guidance Task Force, XBRL International As part of our drive to showcase how innovative apps can be built on the True North® data platform, we’ve released a new at-a-glance fraud indicator...
