XBRL Tagger supports a range of document formats, including Word, PDF, and InDesign.

The document is displayed in the primary window, but an adjacent pane is also included, which displays the presentation linkbase for the chosen taxonomy.  The properties and attributes of any concept in the presentation linkbase can displayed in the properties pane.

It’s these two panes that essentially allow users to navigate, and even search, in the taxonomies.  As XBRL Tagger is multi-lingual, these taxonomies can even be displayed and used in a variety of different languages.

The tagging process itself couldn’t be easier.  For text tags, simply drag a concept from the presentation linkbase and drop it onto the desired text in the document. 

Tables, such as financial statements, are also quick and easy to tag, with drag and drop functionality.  XBRL Tagger’s table tagger allows users to tag elements in the financial statements manually, on a line-by-line and column-by-column basis.  But it also offers an auto-tagger that makes effective use of AI and short work of tables.  Users can run the tagger and then merely evaluate the auto-tagger results and confirm or reject them.

It’s easy and intuitive to create taxonomy extensions with AMANA’s XBRL Tagger for those business specific reports that require more detail than described in the taxonomy, such as for ESEF reporting. 

During report preparation, the software will parse the taxonomies calculation relationships and highlight figures that don’t add up according to these rules.  You can even define your own calculation relationships.

Some reports may include complex tables, where x and y-axes contain a blend of information.  XBRL tagger handles this easily as you can drag and drop tags onto any intersection of the table.  You can even copy mappings between tables. This is useful when similar, but complex, tables exist for the current and prior reporting period.

The validation rules defined by the chosen taxonomy are executed when you prepare the final document, which provides the opportunity to correct any issues before submitting the file to the regulator.

Validation errors and warnings are a direct reflection of the rules and messages defined by the actual taxonomies.  As such, you’ll need to clear all blocking errors.

In addition to the standard XHTML output, XBRL Tagger offers a range of useful outputs.  As you’d expect, it produces the final taxonomy which can be reused the next time the report is to be prepared.  The entire set of rules and tags can also be reviewed in a very comprehensive Excel log.

All of these great features are also available in AMANA’s complete Disclosure Management solution ‘SmartNotes’.   See more information on AMANA’s Disclosure Management solution here.