XBRL (eXtensible Business Reporting Language) is an open, XML-based standard for the electronic submission of business and financial data. Though XBRL specifies what data must be reported and provides a standardized way of doing so, companies and regulatory agencies need a way to ensure the quality of data that is submitted. One approach is by using business rule validation, and XULE is one method that is growing in popularity.
Did you know that Altova has a sample source code repository on GitHub? We are building this out based on customer requests, and at the moment we’ve posted a collection of XBRL example files, code snippets, and Python scripts for working with XBRL data, including instructions for accessing and processing the vast amount of data from filing companies available on the SEC web site, as well as some essential tools for performing validation on EDGAR filing data.
Here are some details on what you can find there.
Let’s take a look at a few of the features recently added to the Altova MissionKit desktop developer tools and complete line of server software products, including screaming-fast XML validation speeds using RaptorXML Server inside XMLSpy, frequently requested functionality for EDGAR filing validation, support for SQLite databases and the TRADACOMS EDI format, and much more. You can always learn about the latest and greatest new features on the Altova What’s New page.
It can be hard to keep up with all the exciting developments in the XBRL space. Standards are constantly evolving to make compliance easier and deepen the benefits provided by XBRL for internal analysis and reporting. As a leader in XBRL development and validation, Altova is committed to supporting the latest standards, coupling strict conformance with high-performance, easy to use tools. With the latest product launch, Version 2014 Release 2, we’ve added some important enhancements, including significant increases in validation speeds, XBRL Table Linkbase support, and extended XBRL Formula tools. Below is a portion of an XBRL Table generated in XMLSpy, using XBRL Table Linkbase to render revenue calculations in new and productive ways:
Let’s take a look at the benefits of these new features for your XBRL implementation.
If you will be in Las Vegas next week for the 5th annual XBRL US National conference, be sure to check out the XBRL Data Forum for IT Pros & Developers. Altova is sponsoring this one day workshop that is part of the conference which consists of an intensive, practical day of discussion and presentation on XBRL d
ata, databases and opportunities for IT professionals interested in expanding their technical knowledge in the growing area of XBRL.
Along with RaptorXML + XBRL, the newest addition to our product family, Altova has a number of tools for processing and validating XBRL data such as XMLSpy, MapForce and StyleVision.
When we were designing RaptorXML Server, we knew from the get-go that the engine should support XML and XBRL standards. The former standard is ubiquitous and the latter will be, as well, given increasing mandates from governments worldwide as well as adoption by enterprises for analyzing financial data in a standards-based, cost-effective manner. However, we knew that at this time a sub-set of customers would be interested in the XBRL capabilities of the engine, so we created two versions: RaptorXML Server and RaptorXML+XBRL Server.
Let’s take a look at some of the powerful XBRL-oriented features in RaptorXML+XBRL Server.
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