Intrinio

A member of our Financial Services community since September, 2016.

Intrinio’s mission is to power the innovators defining the future of finance through modern data technologies. That means automating the data supply chain with advanced infrastructure and machine learning, delivering high-quality data through cutting-edge tools designed for developers and engineers, and getting it all in the hands of people who are challenging the system. We […more]


Workiva

A member of our Software and Services community since December, 2011.

Workiva (NYSE:WK) created Wdesk, a cloud-based productivity platform for enterprises to collect, link, report and analyze business data with control and accountability. Thousands of organizations, including over 65% of the 500 largest U.S. corporations by total revenue, use Wdesk. The platform’s proprietary word processing, spreadsheet and presentation applications are integrated and built upon a data […more]


DataTracks Inc

A member of our Software and Services community since December, 2011.

DataTracks is a leading provider of XBRL tagging services. DataTracks offers Disclourse Management Solution, a cloud-based XBRL tagging solution, that helps companies prepare their regulatory filings for the SEC. DataTracks follows ‘Minds on, Hands off’ approach by providing Assisted Service. The solution also features multiple authors to collaborate from multiple locations on a single source […more]


CoreFiling

A member of our Software and Services community since January, 2021.

CoreFiling are internationally recognised experts in the field of model backed data management, with a core focus on XML and XBRL processing. In addition to providing software solutions and consultancy, CoreFiling are key contributors to the XBRL standard. CoreFiling customers include leading regulators and filers around the globe. The company was founded in 1997 and […more]


Annual Comprehensive Financial Report Taxonomy, Demonstration Release, 2021

Government agency representatives, municipal analysts and investors, software providers, and other users of state and local government data are invited to review and comment on the data standards developed to represent sections of the Annual Comprehensive Financial Report. This is Version 0.3 of the Demonstration Release, which builds on the previous Demonstration Release (August, 2020) […more]


Annual Comprehensive Financial Report Taxonomy, Demonstration Release 2020

Government agency representatives, municipal analysts and investors, software providers, and other users of state and local government data are invited to review and comment on the data standards developed to represent sections of the Annual Comprehensive Financial Report. This is Version 0.3 of the Demonstration Release, which builds on the previous Demonstration Release and now […more]


University of Michigan Partners with Flint, MI on XBRL Reporting Program

The University of Michigan announced a partnership with the city of Flint, MI, on a fiscal reporting pilot program to improve transparency and governance. The pilot centers on developing digitized data standards to represent the Annual Comprehensive Financial Report (ACFR), and will build on the XBRL Taxonomy developed by the XBRL US Standard Government Reporting […more]


College of DuPage Leads Move to Electronic Financial Reporting for Illinois Community Colleges

Illinois-based College of DuPageleads move to electronic financial reporting for Illinois community colleges Register for the free webinar.


Video: Standards for government data collection

Most U.S. government data agencies today do not require data standards for information reported by businesses, grantees, or state and local governments. Agencies could easily transition to data standards programs, with gains for all stakeholders: reporting entities would eliminate duplicate data preparation, and enjoy low costs from competitively priced preparation tools government agencies would experience […more]


Grants Reporting Case Study: College of DuPage

Executive Summary Reporting, collecting, and analyzing data about individual grants, and the grantees themselves, is time-consuming, labor-intensive, and costly. Grantees prepare multiple forms, and duplicate data reported. Federal awarding agencies and other users of grantee information manually extract data from inconsistently prepared PDF forms or text files. The GREAT (Grants Reporting Efficiency and Transparency) Act […more]