DataRaptor®

Data Wrangling Tool

DataRaptor® enables data normalization, audit, encryption, automation, and comprehensive reporting for detailed portfolio management.
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Data Wrangling Process

Raw data is imported into DataRaptor and mapped into working tables using a field mapping process. Source data loads and remains intact to provide a clear audit trail.

Imported data is examined for quality and completeness. Through user-defined audit rules, missing information can be identified, incorrect fields corrected, and new data calculated from existing data fields.

From a database of loans, and based on user-defined characteristics, smaller pools or tranches of loans with similar characteristics are created. During the stratification process, data is aggregated from asset to repline.

Data Enrichment and Reporting

Enrichment

Created specifically for companies managing large, complex portfolios, DataRaptor enables data discovery, automation, encryption, and comprehensive reporting for detailed portfolio management.

Reporting

DataRaptor’s reporting allows users to visualize and understand complex datasets of all sizes. All loan-level data fields from both the audited data file and source data fields are available for reporting. Reports can be exported to PDF, HTML, and text.

All Software Solutions Include: