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AI-enabled Features

Overview

The platform integrates AI capabilities to automate data preparation, monitoring, and quality assurance, reducing manual effort and improving accuracy.

Automated Cleansing Rule Generation

  • Purpose: Automatically suggest data cleansing and transformation rules based on column profiling.
  • How It Works:
  • AI analyzes column names, data types, and value patterns.
  • Suggests appropriate transformations such as:
    • Standardizing formats (dates, phone numbers, currency).
    • Handling missing values.
    • Normalizing categorical values.
  • Users can review, modify, and approve suggested rules before execution.

Intelligent Deduplication

  • Purpose: Enhance duplicate detection accuracy with machine learning.
  • How It Works:
  • AI-based similarity scoring across records.
  • Supports fuzzy matching, semantic similarity, and cross-field analysis.

AI-Driven Job Monitoring

  • Purpose: Proactively identify job anomalies, failures, or performance bottlenecks.
  • How It Works:
  • Monitors historical execution metrics (duration, resource usage, error frequency).
  • Flags abnormal job patterns in real time.
  • Provides probable cause insights and potential fixes.