Grid-ML XML Schema Viewer

www.gridml.com

Grid-ML XML Schema Viewer is an intuitive and extremely fast tool for viewing and searching XML Schemas. It searches names, comments, and enumeration values. Once found, the data path and its definition can be easily copied and pasted into any document or spreadsheet. When the target word or phrase has multiple possible matches, Grid-ML shows the locations of all data items in an uncluttered, hierarchical schema view. The business analyst can quickly drill down to the relevant locations to search deeper. The search results can be filtered to show just container elements, data point elements, attributes, and enumerations. The search can also be set to include or exclude data types and definitions. Benefits: • Reduces the time needed to develop data specifications. • Reduces rework by improving the accuracy of the specifications. • Reduces ramp-up time needed for team members to learn a data model. • Facilitates the communication between teams and partners by allowing everyone to easily access all the information about each data point. • Allows for viewing and searching schemas without the risk of inadvertent changes to the source files. Use Cases: • Search and visualize large, complex data models. • Create specifications for mapping data between industry standards and proprietary schemas. • Create specifications for data validation and business rules. • Compare different versions of data standards. Industry Standards: Grid-ML supports advanced W3C® XML Schema features, such as namespaces, prefixes, groups, includes, imports, and redefines. It works with proprietary schemas as well as industry data standards, including: • MISMO® - Mortgage Industry Standards. Grid-ML has full support for popular MISMO schema extensions such as ULAD, ULDD, and ILAD. • NIEM (National Information Exchange Model) is a common vocabulary that enables information exchange across diverse public and private organizations. • ACORD - Insurance and related financial services standards.

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Reach decision makers at Grid-ML XML Schema Viewer

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Grid-ML XML Schema Viewer is an intuitive and extremely fast tool for viewing and searching XML Schemas. It searches names, comments, and enumeration values. Once found, the data path and its definition can be easily copied and pasted into any document or spreadsheet. When the target word or phrase has multiple possible matches, Grid-ML shows the locations of all data items in an uncluttered, hierarchical schema view. The business analyst can quickly drill down to the relevant locations to search deeper. The search results can be filtered to show just container elements, data point elements, attributes, and enumerations. The search can also be set to include or exclude data types and definitions. Benefits: • Reduces the time needed to develop data specifications. • Reduces rework by improving the accuracy of the specifications. • Reduces ramp-up time needed for team members to learn a data model. • Facilitates the communication between teams and partners by allowing everyone to easily access all the information about each data point. • Allows for viewing and searching schemas without the risk of inadvertent changes to the source files. Use Cases: • Search and visualize large, complex data models. • Create specifications for mapping data between industry standards and proprietary schemas. • Create specifications for data validation and business rules. • Compare different versions of data standards. Industry Standards: Grid-ML supports advanced W3C® XML Schema features, such as namespaces, prefixes, groups, includes, imports, and redefines. It works with proprietary schemas as well as industry data standards, including: • MISMO® - Mortgage Industry Standards. Grid-ML has full support for popular MISMO schema extensions such as ULAD, ULDD, and ILAD. • NIEM (National Information Exchange Model) is a common vocabulary that enables information exchange across diverse public and private organizations. • ACORD - Insurance and related financial services standards.

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Country

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State

Georgia

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City (Headquarters)

Roswell

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Employees

1-10

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Founded

2018

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