You deserve perfection.
Financial data filed in XRBL is as official and public as the traditional paper copy version you submit to the SEC in ASCII or HTML, and is subject to the same required disclosure controls and procedures.
Does your XBRL filing communicate exactly what your numbers mean? Is the data correct in the actual XBRL files? Have you applied the same level of diligence as with the rest of the reporting process in preparing your XBRL data to ensure accuracy, consistency and to tell your company’s financial story?
Because we’re a company that believes accuracy and quality of data is of foremost importance, Rivet has devoted significant resources to develop quality assurance tools and processes used by filers, CPA firms, and consultants worldwide.
Solutions to Ensure Quality:
Dragon View helps ensure compliance with the SEC’s specific XBRL requirements by making the review and verification process intuitive and accessible to non-technical users. Rather than relying on an Excel or HTML version of your XBRL files provided by a third party, use Dragon View to check the actual data that will be submitted to the SEC, and make sure it’s correct. Eliminate manual version control and duplicative review time as your filing changes by creating an instance document or taxonomy comparison report.
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Magnify is a desktop tool that uses a comprehensive checklist to validate files for compliance and to guide you through the review of an XBRL filing. The application walks you step by step through an assessment of your document, performing automated checks for accuracy wherever possible.
A tool to identify and help you resolve data quality errors in your XBRL instance document before you file it with the SEC. The tool runs over 12,000 checks against your XBRL document to identify possible inconsistencies and common quality issues noted in the SEC’s observations.