DataRaptor®: Mortgage Portfolio Loan Stratification System

DataRaptor® is a loan-level data management application that utilizes a highly efficient ETL process to load, reformat, standardize, audit, and aggregate mortgage asset data.  DataRaptor® is a user-configurable tool that facilitates custom data solutions and reporting options.  DataRaptor® features:


Data Extraction

    • Flexible data model that works natively with SQL Server, but will accept data from any ODBC data source
    • Wizards and Tools with automatic type recognition that enable easy creation of input and output templates
    • Support for user-configured field formats that assist data validation and loading of non-standard data


Data Cleansing

    • User-configurable tools for formatting, standardizing, and auditing data fields
    • Built-in scripting language offering complete flexibility in configuring business logic or data scrubbing rules with built in string, date, and math functions as well as syntax checker and test rule features
    • Audit engine with wizards and modules to facilitate creation of data mapping, error tracking, and calculation rules
    • Support for external data as well as wild cards and numeric ranges


Aggregation and Output

    • Creation of pooling categories or trees via interactive interface
    • Support for all standard loan aggregation types
    • Pass loan-level or pooled or tranche level data into WinOAS™, MarketShield™, MIAC-ALM™ or any other table format
    • Stratification of MSR Assets
    • Stratification of Whole Loan Assets


Reporting

    • Built-in reporting tool to create, edit, export (pdf, excel, html, txt, etc), and print customizable reports
    • Ability to view reports created in Crystal Report

 

OLAP (On-Line Analytical Processing) and Data Cubes

  • Imbedded support for OLAP (with SQL Server)
  • Wizards to facilitate creation of multidimensional cubes
  • Cube viewer to visualize data relationships and to create and save user-defined views
  • Export data to HTML and Excel

 

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