The non-profit community improving U. S. reporting through a free, open standard
AI, Machine Learning & Structured Data
Attend this session to get a snapshot of the AI landscape today, and to learn where it is likely to go tomorrow. Explore case studies on how machine learning, combined with structured, machine-readable data, is being used for data normalization, catching anomalies and problems in corporate public company data, and more.
Get Started on the SEC’s Pay Vs Performance Disclosure Requirements
Attend this session to get a snapshot of the AI landscape today, and to learn where it is likely to go tomorrow. Explore case studies on how machine learning, combined with structured, machine-readable data, is being used for data normalization, catching anomalies and problems in corporate public company data, and more.
XBRL Data Community
Join the growing number of professionals using the XBRL application programming interface (API) to get reported data and check reports before filing.
Check out our growing collection of free resources, including:
Tools & Instructions
for FERC Filers
Electric utilities, gas pipeline companies, oil pipeline companies, centralized service companies and electric transmitting companies reporting to the FERC are required to submit Forms 1, 2, 2-A, 3-Q, 6, 6-Q, 60 and 714 in XBRL.
We’re providing sample documentation, guides and applications to use before becoming a FERC Filer Member, plus a list of comprehensive FERC-enabled products and services from XBRL US Members.
Point of View
XBRL Case Study: Are Big Companies Paying Their Fair Share?
Christine Cheng, Assistant Professor, Patterson School of Accountancy at University of Mississippi, and Campbell Pryde, President and CEO of XBRL US
Controversial questions require the right dataset. High quality, timely data makes analysis more relevant to students.
