Ensure automated analysis of the existing data landscape during the initial assessment phase.

• Smart Analyzer: Performs landscape analysis, and provides complexity, and technical debt. It analyzes SAS codes, producing concise summaries within its intuitive reporting interface.
• Dependency Analyzer: Provides in-database object dependencies and lineage
• Domain Analyzer: Groups all the database objects into domains to identify nondependent clusters for deployments
• Change Monitor: The built-in intelligent conversion engine translates SAS codes into an executable PySpark code, with a transparent intermediate process
• Risk Factor Analyzer: Provides risk factor identification and an analysis mechanism to mitigate risks during automated conversion.

Automated code conversion and validation reduce manual efforts and improve efficiency.

• Object Convert: Converts the source-compatible objects into equivalent PySpark codes
• Odd Exclusion: Ensures the exclusion of elements like automatically-generated SAS macros and variables utilized by SAS DI jobs and transformations irrelevant to business logic.
• Code Segmentation: Segmenting parses SAS codes into distinct units based on their purpose, such as data blocks, procedure blocks (PROCs), macroblocks, and other sections.
• Lineage Summary: Provides details of input and output data sources and references (files, tables, etc.) referred to in the SAS code.