Search results
Results from the WOW.Com Content Network
ISO 8000 is the international standard for Data Quality and Enterprise Master Data.Widely adopted internationally [1] [2] [3] it describes the features and defines the requirements for standard exchange of Master Data among business partners.
The ISO/IEC 11179 model is a result of two principles of semantic theory, combined with basic principles of data modelling. The first principle from semantic theory is the thesaurus type relation between wider and more narrow (or specific) concepts, e.g. the wide concept "income" has a relation to the more narrow concept "net income".
Data architecture consist of models, policies, rules, and standards that govern which data is collected and how it is stored, arranged, integrated, and put to use in data systems and in organizations. [1] Data is usually one of several architecture domains that form the pillars of an enterprise architecture or solution architecture. [2]
The Schools Interoperability Framework, Systems Interoperability Framework (UK), or SIF, is a data-sharing open specification for academic institutions from kindergarten through workforce. This specification is being used primarily in the United States, Canada, the UK, Australia, and New Zealand; however, it is increasingly being implemented in ...
Leaders of successful data governance programs declared at the Data Governance Conference in Orlando, FL, in December 2006 that data governance is about 80 to 95 percent communication. [10] That stated, it is a given that many of the objectives of a data governance program must be accomplished with appropriate tools.
Develop information sharing standards, a common lexicon, and an online repository of information exchange package documentation and data components that support information sharing; Provide technical tools, processes, and methodologies to support the analysis, development, discovery, dissemination, and reuse of exchange standards and documents; and
An industry standard data model, or simply standard data model, is a data model that is widely used in a particular industry. The use of standard data models makes the exchange of information easier and faster because it allows heterogeneous organizations to share an agreed vocabulary, semantics, format, and quality standard for data.
A review and critique of data mining process models in 2009 called the CRISP-DM the "de facto standard for developing data mining and knowledge discovery projects." [ 16 ] Other reviews of CRISP-DM and data mining process models include Kurgan and Musilek's 2006 review, [ 8 ] and Azevedo and Santos' 2008 comparison of CRISP-DM and SEMMA. [ 9 ]