Accelerate reliable, business-ready analytics by automating data integration, transformation, and validation with intelligent data engineering.

Data Assist agents:

• Data Model Mapping Agent: Compares legacy data models to modern schemas, remodels legacy code, and recommends new attributes when no direct mappings exist.

• Smart Map Agent: A centralized, industry-agnostic solution for managing the entire data mapping journey—improving efficiency, accuracy, and standardization for any data modernization program.

• Reverse Data Engineering Agent: Reverse engineers legacy extract, transform, load (ETL) code to generate comprehensive pipeline mappings, including source-to-target transformations.

• Data Pipeline Engine Agent: Accelerates cloud data migration with automated, customizable ETL pipelines, audit capabilities, and smartmap integration for source-to-target mappings.

• Data Model Reviewer Agent: Compares and validates application data structures against enterprise standards to improve accuracy, efficiency, and alignment with business data modeling guidelines. 

• Test Case Generation Agent: Creates and runs column-and transformation-level tests, reporting where the modernized code matches or diverges from the legacy code or diverges from the initial requirements—using mapping info and actual data comparisons. 

• Synthetic Data Generation Agent: Generates realistic, schema-compliant synthetic datasets for testing and training, supporting both user-driven (large language model) and sample-based (generative adversarial network) generation.

Enable trusted, compliant, and actionable data by orchestrating secure, consistent, and governed data management across your enterprise.

Data Assist agents:

• Smart Data Quality Agent: Creates data quality rules for critical data elements using business glossary definitions and profiling to ensure compliance with key enterprise and industry standards.

• Intelligent Business Glossary Agent: Creates business glossary definitions for metadata per enterprise standards, identifies potential critical data elements, and flags them for manual review.

Transform data into meaningful reports and insights to make informed decisions and improve efficiencies for business intelligence teams.

Data Assist agents:

• Talk to Data Agent: Smart chat interface for natural language analytics, visualization, and forecasting—featuring exportable results, query caching, and audit trails.

• Report Rationalization Agent: Extracts reporting logic and mappings from existing reports, analyzes them, and identifies rationalization opportunities.