Below are a couple of applications from our Members that feature XBRL data analytics capability. Click the links to get details, refresh the page to see a couple more, or visit this page for the full list of analytics tools from XBRL US Members.
RDG’s ThunderDome portal makes your FERC document creation, tagging and management a snap. Our team of certified XBRL experts will work with you to create your initial templates and create the most accurate and highest quality filings.
Timely and accurate standardized balance sheet, income statement and cash flow statement data. Standardized footnote data including inventory, PP&E, leases, pensions, stock options, segments, and more.
Cognitive Quant platform brings together Behavioral Science, Natural Language Processing, and Artificial Intelligence to help investors overcome cognitive biases, deliver unique risk insights, and enable rational investment decisions. It features: Behavioral Science-driven UX Design to help overcome cognitive biases AI & NLP-enabled Stock Screener incorporating both quantitative and qualitative insights Unique Risk Insights leveraging xBRL,
How To: Find Out More about Inline XBRL
Inline XBRL essentially combines XBRL and HTML documents, to create a single document that is both human-readable and machine-readable. Inline XBRL is under consideration by the SEC for public company reporting and is used in non-US markets today. To learn more, watch this Webinar:
How To: Extract XBRL Data Directly from the SEC Web Site
Thousands of public company data financial statements are available from the SEC’s EDGAR system today. Years of history can be extracted directly from EDGAR. Watch a How To demo from Alexander Falk, CEO of Altova:
How To: Download Individual XBRL Files and .zip Archives from the SEC Web Site
Need to get a single filing from EDGAR? Watch this brief video to learn how to manipulate URLs on the SEC’s Web site and get to a company’s .zip of a filing in seconds.
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