Last week’s item demonstrating the way that US FFIEC reports (published in XBRL) can be consumed and analysed got a lot of attention. But how is it done?
We found food for thought in a recent article from Irene Liu and team of Accenture, exploring the use of Natural Language Processing (NLP) for regulatory compliance.
We enjoyed the food for thought offered in a recent opinion piece by Jo Ann Barefoot on the case for placing artificial intelligence (AI) at the heart of digitally robust financial regulation.
We’ve been diving into the analytical possibilities offered by digital environmental, social and governance (ESG) reporting in recent days.
We were interested this week to read reflections on the changeover to the European Single Electronic Format (ESEF) and Inline XBRL for financial reporting in Europe, from members of the French Society of Financial Analysts (SFAF, La Société Française des Analystes Financiers) Evaluation Commission.
Just last week we posted on rounding of figures in reports, and how it can cause validation processes to flag calculation inconsistencies that – while they should be checked – should not be a cause for concern, since there is (generally) no underlying error.
Those of our readers who attended Data Amplified will know that Revathy Ramanan, XBRL International’s Guidance Manager, wowed the audience with a live demonstration, building multiple analytical reports on the fly. She has revisited her conference session with a new blog post on the Taggings section of our website, ‘xBRL-JSON makes report consumption easier!’
Revathy manages the development of guidance materials at XBRL International. In this article she shares the xBRL-JSON driven analytics that she demonstrated at last week’s Data Amplified conference, with links to explore. The new Open Information Model (OIM) specifications will soon reach ‘Recommendation’ status. There is no time like the present, therefore, to learn how […]
This week PwC published a strong call for companies to take full advantage of the recent pivot to digital with high-quality XBRL data.
Calcbench recently published a three-part blog scouring restaurant sector disclosures to discover the data-based story of how much harm the pandemic has caused. Of course, we don’t necessarily need to dig into disclosures to ascertain that restaurant sales went off a cliff in March as lockdowns started to come into force across the US and […]