D-Rive is a research platform that can dramatically reduce the time and effort involved in company research. By using a highly automated data extraction workbench, D-Rive effectively provides the ability to extract every line-item from any financial document like annual reports, fact-sheets, and analyst models amongst others. The extracted data undergoes a transformation process to compute standardized data, ratios, non-reported numbers, etc. The transformed data is presented via a web portal with source linking for ‘click-through’ auditability and an Excel add-in to allow for further manipulation. D-Rive also offers automated rule-based data quality verification, taxonomy-based transformation and standardization to allow simplified data comparisons.
D-Rive is equipped with progressive technology that cleverly extracts data to offer a turn-key data extraction solution.
Key Features:
- Multiple document types: The system is capable of handling documents in most common formats -HTML, DOC, XLS, ASCII, PDF, etc.
- Smart table parsing: A proprietary heuristics library is used for extracting numbers and all relevant attributes from tables and the surrounding text, including complex examples such as cross-tabs, tables with complex columns, etc.
- Line item identification: A sophisticated accounting-aware semantic rules engine is used to identify the position in the taxonomy that a line should be mapped to.
- Numbers-in-text processing: Natural Language Processing techniques and proprietary extraction heuristics are used to identify “interesting” numbers (i.e., excluding dates, section numbers, etc.) and relevant attributes for these numbers, including suggesting a relevant line in the taxonomy that a number should be mapped to.