What Is Xbrl And How Does It Work


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XBRL For Dummies


XBRL For Dummies

Author: Charles Hoffman

language: en

Publisher: John Wiley & Sons

Release Date: 2009-10-09


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The perfect guide to help you understand XBRL-from the "father of XBRL" What is XBRL and how can it help you streamline your business reporting? This plain-English guide from the "father of XBRL," Charles Hoffman, will tell you what it is, why it is, and how you can get on the bus with this new SEC-mandated business reporting standard for publicly-traded companies. A CPA, Hoffman is credited with the idea of applying XML data to financial reporting; XBRL is the language that resulted. Learn to prepare financial statements with XBRL, use it for strategic planning, move all relevant departments in your company to the same system, and more. XBRL (eXtensible Business Reporting Language) is an XML-based open standard for accounting data; author Charles Hoffman is credited with the idea of applying XML data to financial reporting Plan for XBRL implementation, set action-oriented agendas, and identify stakeholders and subject-matter experts within your organization Learn to choose from and adapt existing XBRL taxonomies to comply with US GAAP and IFRS standards Topics also include how to adapt your existing financial information into XBRL.

Linked Data Adoption and Application Within Financial Business Processes:


Linked Data Adoption and Application Within Financial Business Processes:

Author: Kathrin Kalcheva

language: en

Publisher: Anchor Academic Publishing

Release Date: 2016-05


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This book is the first part of a two book series. It is based on a combination of Finance and IT. More precisely, it applies the concept of Linked Data (hence LD), which originates from the IT landscape, to the specifics of the financial world. LD is a new concept for efficient handling of data, which could be used for dealing with a complex data set and data structures, as well as Big Data. The focus of this book is on the adoption of LD and its application within financial business processes. First, LD is briefly explained and framed in the context of the financial services domain. Second, modeling the determinants of LD adoption needed a clear statement over its advantages and disadvantages, amongst others within the financial domain. Despite the high interest towards the LD concept, no such overview existed before this work. Fourth, the model on LD adoption is applied to business (financial) reporting, illustrated with the XBRL case. Finally, semi-structured interviews with financial experts reconfirm and extend the findings. The main potentials are described in detail.

Accounting Information Systems for Decision Making


Accounting Information Systems for Decision Making

Author: Daniela Mancini

language: en

Publisher: Springer Science & Business Media

Release Date: 2013-04-18


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​This book contains a collection of research papers on accounting information systems including their strategic role in decision processes, within and between companies. An accounting system is a complex system composed of a mix of strictly interrelated elements such as data, information, human resources, IT tool, accounting models and procedures. Accounting information systems are often considered the instrument by default for accounting automation. This book aims to sketch a clear picture of the current state of AIS research, including design, acceptance and reliance, value-added decision making, interorganizational links, and process improvements. The contributions in this volume emphasize that AIS has grown into a powerful strategic tool. The book provides evidence for this observation by examining a wide range of current issues ranging from theory development in AIS to practical applications of accounting information systems. In particular it focuses on themes of growing interest in the realm of XBRL and Financial Reporting, Management Information Systems, IT/IS Audit and IT/IS Compliance. The book will be of interest to financial and managerial accountants and IT/IS practitioners, including information systems managers and consultants.