AI Agent Enterprise SAP Archiving Intelligence Platform

Database Analyst Agent

DataDiscovery scans SAP databases to enumerate tables by module (MM, FI/CO, HR, SD). It calculates table sizes (GB/TB), record counts, monthly/yearly growth trends, and age distribution (<1yr, 1-3yr, 3-5yr, >5yr). It assesses data quality (completeness, consistency, accuracy, timeliness), identifies archiving objects, and detects patterns for optimization.

View Core Logic Back to Worker

Part of Enterprise SAP Archiving Intelligence Platform

Portal: Nexgile Skillium Nexus

Agent ID: DataDiscovery

Problem Statement

The challenge addressed

SAP databases contain thousands of tables across multiple modules with unknown sizes, growth patterns, and age distributions, making archiving candidate identification difficult.

Core Logic

How the agent solves it

DataDiscovery scans SAP databases to enumerate tables by module (MM, FI/CO, HR, SD). It calculates table sizes (GB/TB), record counts, monthly/yearly growth trends, and age distribution (<1yr, 1-3yr,... DataDiscovery scans SAP databases to enumerate tables by module (MM, FI/CO, HR, SD). It calculates table sizes (GB/TB), record counts, monthly/yearly growth trends, and age distribution (<1yr, 1-3yr, 3-5yr, >5yr). It assesses data quality (completeness, consistency, accuracy, timeliness), identifies archiving objects, and detects patterns for optimization.

System Navigation

Explore related components

Portal

Nexgile Skillium Nexus

Digital Worker

Enterprise SAP Archiving Intelligence Platform

Current Agent

Database Analyst Agent

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