Welcome!

IBM Cloud Authors: Yeshim Deniz, Elizabeth White, Pat Romanski, Liz McMillan, Stefan Bernbo

News Feed Item

SEC-Mandated XBRL Data at Risk of Being Irrelevant to Investors and Analysts

NEW YORK, Jan. 22, 2013 /PRNewswire/ -- In 2009, the Securities and Exchange Commission mandated that public companies submit portions of annual (10-K) and quarterly (10-Q) reports—in a digitized format known as eXtensible Business Reporting Language (XBRL). The goal of this type of data was to provide more relevant, timely, and reliable "interactive" data to investors and analysts. The XBRL-formatted data is meant to allow users to manipulate and organize the financial information according to their own purposes faster, cheaper, and more easily than current alternatives.

(Logo: http://photos.prnewswire.com/prnh/20120905/NY68578LOGO)

But how useful and usable is the new data to analysts and investors? The authors, early proponents of interactive data, from Columbia Business School's Center for Excellence in Accounting and Security Analysis (CEASA) recently completed a review of the state of XBRL, with a focus on its usefulness and usability for security analysis. The study questions the reliability of the data, the simplicity and stability of the underlying taxonomy and architecture, as well as the lack of user tools that add value and are easily integrated into an investor's or analyst's existing work flow and tools. As a result, the researchers conclude that XBRL has promised more than it has delivered to date and is at risk of becoming obsolete for use by analysts and investors.

However, the authors recommend specific changes that could make the formatted data more useful to investors and analysts. First, the entire XBRL stakeholder community must reduce significantly the error rate and limit unnecessary "extensions" (company-specific data identifiers or "tags"). Steps that might achieve this include: greater regulatory oversight and enforcement, mandatory audits of the data and tags, or requirements around meeting the XBRL US organization's error and quality checks. Second, the entities that file the XBRL-formatted financial reports should focus their energy on improving the quality of their data, rather than on trying to destroy the SEC's XBRL regulation. Third, the ongoing development of XBRL technology should be taken over and run by technologists, rather than accountants and regulators. An interesting approach for this might include partnering with major business information system vendors (like IBM, Oracle, and SAP), the key web-based financial information suppliers (like Google and Yahoo), and possibly even the major data aggregators (Bloomberg, CapitalIQ, Factset, and Thomson Reuters) not only to ensure that the SEC's regulatory data can be used effectively by investors and analysts, but, more importantly, to help improve the XBRL technology and usability overall.

"The potential for interactive data to democratize financial information and transform transparency remains stronger than ever, and many investors and analysts wish that the data were more useful today," the researchers wrote in the study. "But unless stakeholders focus on improving the data's reliability and on creating value-added, easily integrated tools, XBRL-tagged data is unlikely to be used by a significant number of investors or analysts."  

About The Center for Excellence in Accounting and Security Analysis (CEASA)

The Center for Excellence in Accounting and Security Analysis (CEASA) at Columbia Business School provides an independent, objective voice for practical solutions in financial reporting and analysis.

Drawing on the wisdom of leading experts in academia, industry, and government, the center produces sound research and identifies best practices on relevant issues. CEASA's guiding criteria are to serve the public interest by supporting the integrity of financial reporting and the efficiency of capital markets. For more information, visit www.gsb.columbia.edu/ceasa

About Columbia Business School

Led by Dean Glenn Hubbard, the Russell L. Carson Professor of Finance and Economics, Columbia Business School is at the forefront of management education for a rapidly changing world. The school's cutting-edge curriculum bridges academic theory and practice, equipping students with an entrepreneurial mindset to recognize and capture opportunity in a competitive business environment. Beyond academic rigor and teaching excellence, the school offers programs that are designed to give students practical experience making decisions in real-world environments. The school offers MBA and Executive MBA (EMBA) degrees, as well as non-degree Executive Education programs. For more information, visit www.gsb.columbia.edu.

 

SOURCE Columbia Business School

More Stories By PR Newswire

Copyright © 2007 PR Newswire. All rights reserved. Republication or redistribution of PRNewswire content is expressly prohibited without the prior written consent of PRNewswire. PRNewswire shall not be liable for any errors or delays in the content, or for any actions taken in reliance thereon.

IoT & Smart Cities Stories
The deluge of IoT sensor data collected from connected devices and the powerful AI required to make that data actionable are giving rise to a hybrid ecosystem in which cloud, on-prem and edge processes become interweaved. Attendees will learn how emerging composable infrastructure solutions deliver the adaptive architecture needed to manage this new data reality. Machine learning algorithms can better anticipate data storms and automate resources to support surges, including fully scalable GPU-c...
Machine learning has taken residence at our cities' cores and now we can finally have "smart cities." Cities are a collection of buildings made to provide the structure and safety necessary for people to function, create and survive. Buildings are a pool of ever-changing performance data from large automated systems such as heating and cooling to the people that live and work within them. Through machine learning, buildings can optimize performance, reduce costs, and improve occupant comfort by ...
The explosion of new web/cloud/IoT-based applications and the data they generate are transforming our world right before our eyes. In this rush to adopt these new technologies, organizations are often ignoring fundamental questions concerning who owns the data and failing to ask for permission to conduct invasive surveillance of their customers. Organizations that are not transparent about how their systems gather data telemetry without offering shared data ownership risk product rejection, regu...
René Bostic is the Technical VP of the IBM Cloud Unit in North America. Enjoying her career with IBM during the modern millennial technological era, she is an expert in cloud computing, DevOps and emerging cloud technologies such as Blockchain. Her strengths and core competencies include a proven record of accomplishments in consensus building at all levels to assess, plan, and implement enterprise and cloud computing solutions. René is a member of the Society of Women Engineers (SWE) and a m...
Poor data quality and analytics drive down business value. In fact, Gartner estimated that the average financial impact of poor data quality on organizations is $9.7 million per year. But bad data is much more than a cost center. By eroding trust in information, analytics and the business decisions based on these, it is a serious impediment to digital transformation.
Digital Transformation: Preparing Cloud & IoT Security for the Age of Artificial Intelligence. As automation and artificial intelligence (AI) power solution development and delivery, many businesses need to build backend cloud capabilities. Well-poised organizations, marketing smart devices with AI and BlockChain capabilities prepare to refine compliance and regulatory capabilities in 2018. Volumes of health, financial, technical and privacy data, along with tightening compliance requirements by...
Predicting the future has never been more challenging - not because of the lack of data but because of the flood of ungoverned and risk laden information. Microsoft states that 2.5 exabytes of data are created every day. Expectations and reliance on data are being pushed to the limits, as demands around hybrid options continue to grow.
Digital Transformation and Disruption, Amazon Style - What You Can Learn. Chris Kocher is a co-founder of Grey Heron, a management and strategic marketing consulting firm. He has 25+ years in both strategic and hands-on operating experience helping executives and investors build revenues and shareholder value. He has consulted with over 130 companies on innovating with new business models, product strategies and monetization. Chris has held management positions at HP and Symantec in addition to ...
Enterprises have taken advantage of IoT to achieve important revenue and cost advantages. What is less apparent is how incumbent enterprises operating at scale have, following success with IoT, built analytic, operations management and software development capabilities - ranging from autonomous vehicles to manageable robotics installations. They have embraced these capabilities as if they were Silicon Valley startups.
As IoT continues to increase momentum, so does the associated risk. Secure Device Lifecycle Management (DLM) is ranked as one of the most important technology areas of IoT. Driving this trend is the realization that secure support for IoT devices provides companies the ability to deliver high-quality, reliable, secure offerings faster, create new revenue streams, and reduce support costs, all while building a competitive advantage in their markets. In this session, we will use customer use cases...