ScryData Flow Mapping®

Automated Extraction of Data Relationships among Tables


60+ proprietary algorithms for data lineage and reverse engineering of legacy programs, code analysis, and enhancing Continuous Improvement and Continuous Delivery(CI-CD) processes.

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What is Data Flow Mapping?


Data Flow Mapping (DFM) incorporates proprietary AI-based algorithms to “learn” various relationships among two or more tables. Most contemporary techniques that deduce such relationships only use ontologies and synonyms, and hence are unable to determine “if … then … else” situations. In contrast, DFM also uses numerical as well as non-numerical data available in these tables, which helps it to learn and extract critical functions especially those that comprise aggregation of rows or columns and those that contain “If … then … else …” conditions.

Applications of Data Flow Mapping®


Differentiators And Business Benefits


  • Product Accuracy

    99% accuracy achieved by pre-trained AI algorithms and domain ontology

  • Data Security

    Entire product suite is SOC2 compliant and ISO27001 certified.

  • Time-series Graphs

    Time-series graphs to show parameters & transformations from one set of tables to the next one

  • Smart Domain Ontologies

    Rich prebuilt ontologies and business rules with automated updates.

  • Best-in-the-Market AI/ML Stack

    60+ proprietary algorithms to compute data lineage and reverse engineer ~ 500 transformations including ”if… then… else”

  • Seamless Integration

    Automated attribute and transformation mapping of input and output tables and output tables to clients' internal tables and processes.

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