XBRL US announced the start of its 14th Public Exposure of Data Quality rules, and the approval of the 13th Ruleset. The Committee is responsible for developing guidance and validation rules that can prevent or detect inconsistencies or errors in XBRL data filed with the SEC and focuses on data quality issues that adversely affect data analysis.
Reporting supply chain participants – public company personnel and partners, regulators, analysts and researchers – know the value of telling a company’s story with standardized data. And now, XBRL Achievements are showing up on LinkedIn and other professional/social networking platforms to let colleagues and other professionals know who sets and keeps the pace in a transformed reporting environment.
XBRL US announced the start of its fifth public exposure period for guidance and rules developed by the Data Quality Committee (DQC), which is funded through the Center for Data Quality. The Committee is responsible for developing guidance and validation rules that can prevent or detect inconsistencies or errors in XBRL data filed with the SEC and focuses on data quality issues that adversely affect data analysis.
The freely-available rules and guidance developed by an industry coallaborative help public companies detect inconsistencies or errors in their XBRL-formatted financial data. Several tools are certified for implementation of the approved rules.
In addition to getting data directly from a regulator, XBRL US Members offer analytical tools, and XBRL US has freely-available APIs, spreadsheet templates and code resources connected to its Public Filings Database of more than 10 years of SEC, FERC and ESMA reports.
Issuers encouraged to use the rules to identify and resolve data quality errors in financials XBRL US announced that it had published the second set of approved rules and guidance developed by the Data Quality Committee (DQC), which are now freely available for issuers to use to identify and correct errors in their filings. The […more]
XBRL US announced the start of its third public exposure period for guidance and rules developed by the Data Quality Committee (DQC), which is funded through the Center for Data Quality. The Committee is responsible for developing guidance and validation rules that can prevent or detect inconsistencies or errors in XBRL data filed with the SEC and focuses on data quality issues that adversely affect data analysis.
This set of freely available spreadsheet templates and APIs lets analysts, investors, data providers and regulators easily extract XBRL-formatted financial fundamentals. The toolkit includes templates that perform analyses on margins, leases and balance sheets, in addition to APIs that allow users to extract reported values. XBRL data produced by using the toolkit is driven by […more]
Public companies and XBRL US Members can use this free, secure service to check their filings against rules approved by the Data Quality Committee (DQC), as well as rules recently exposed for comment. There’s also a third-party tool available to check filings with DQC rules.
XBRL US, the nonprofit consortium for XBRL reporting in the US, announced today the publication of a new online tool, the US GAAP Pension Analyzer which is available for free to public company reporting managers that runs a set of rules against the pension disclosure within an XBRL-formatted financial statement. A review of XBRL filings […more]
The national consortium for
the business reporting standard
