DSS Extractor Pro

DSS Extractor Pro converts decision-support outputs into a canonical, machine-readable form suitable for analytics and governance. It targets data engineers, business analysts, and researchers who must document, audit, or reuse decision criteria and outcomes. The tool accepts CSV, JSON, or XML inputs and outputs a standardized JSON schema with decision identifiers, criteria, outcomes, confidence, and provenance. Conceptually, it uses a pipeline of normalization, extraction, and schema mapping to enforce consistency across datasets. It supports both strict rule-based extraction and optional NLP-based enhancements for complex narratives, making it applicable to diverse DSS formats and industries. By standardizing representations, it enables reliable lineage tracking and interoperability with data catalogs and governance workflows. The core value is reproducibility, auditability, and easier integration into data pipelines. Typical use cases include documenting DSS decisions after runs, auditing risk criteria, and converting narrative rules into machine-readable form for downstream modeling. Core features include schema inference, entity and rule extraction, canonical mappings, and provenance metadata. The tool is designed to scale from small rule sets to enterprise datasets and to operate without relying on UI components. This makes it suitable for data teams seeking an auditable, exportable representation of decision logic.