FpML
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FpML
FpML (Financial products Markup Language) is a business information exchange standard based on Extensible Markup Language (XML) that enables business-to-business over-the-counter (OTC) financial derivative transactions online by following W3C standards. The standard is managed by International Swaps and Derivatives Association (ISDA) on behalf of a community of investment banks that make up the OTC derivatives industry. All categories of privately negotiated derivatives will eventually be included within the standard. FpML is distinct from similar financial standards such as SWIFT and FIX in scope because it provides no network or specification of a transport mechanism. History The FpML standard was first published by JPMorgan and PricewaterhouseCoopers on 9 June 1999 in a paper titled "Introducing FpML: A New Standard for E-commerce". As a result, the FpML standards committee was founded. As of December 2021, FpML 5.12 is the latest recommended version. The core scope includes ...
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Extensible Markup Language
Extensible Markup Language (XML) is a markup language and file format for storing, transmitting, and reconstructing arbitrary data. It defines a set of rules for encoding documents in a format that is both human-readable and machine-readable. The World Wide Web Consortium's XML 1.0 Specification of 1998 and several other related specifications—all of them free open standards—define XML. The design goals of XML emphasize simplicity, generality, and usability across the Internet. It is a textual data format with strong support via Unicode for different human languages. Although the design of XML focuses on documents, the language is widely used for the representation of arbitrary data structures such as those used in web services. Several schema systems exist to aid in the definition of XML-based languages, while programmers have developed many application programming interfaces (APIs) to aid the processing of XML data. Overview The main purpose of XML is serialization, i ...
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Business Information
Business intelligence (BI) comprises the strategies and technologies used by enterprises for the data analysis and management of business information. Common functions of business intelligence technologies include reporting, online analytical processing, analytics, dashboard development, data mining, process mining, complex event processing, business performance management, benchmarking, text mining, predictive analytics, and prescriptive analytics. BI tools can handle large amounts of structured and sometimes unstructured data to help identify, develop, and otherwise create new strategic business opportunities. They aim to allow for the easy interpretation of these big data. Identifying new opportunities and implementing an effective strategy based on insights can provide businesses with a competitive market advantage and long-term stability, and help them take strategic decisions. Business intelligence can be used by enterprises to support a wide range of business decisions ...
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