Reliable analytics and AI outcomes depend on knowing whether your data is truly ready for use. The N-IQ DQ Agent is an AI-powered data health check that quickly evaluates structured data to reveal quality issues, apply business rules, and generate clear, actionable insights.
The N-IQ DQ Agent runs on a secure, scalable, serverless-style workflow, removing the need for infrastructure management while ensuring consistent and reliable execution
Users upload data files (CSV, Excel, etc.) and optionally provide custom validation rules through a secure form or webhook
Uploaded files are converted into a standardized JSON format to ensure consistent, accurate, and repeatable analysis across datasets
A managed AI engine analyzes the data to detect missing values, duplicates, inconsistencies, and format errors, while applying user-defined business rules. Data quality scores are generated at the column level.
A detailed HTML report is created that summarizes findings, highlights issue severity, and includes clear remediation recommendations
The report is converted into a branded PDF and delivered via a secure email link, ready to be shared with stakeholders
Reduces weeks of manual data validation effort to a fast, automated process completed in minutes
Ensures consistent and accurate analysis by removing subjective and error-prone manual checks
Provides immediate visibility into data health, helping teams move forward with confidence
Establishes a reliable foundation for analytics, AI initiatives, compliance, and enterprise reporting
The N-IQ DQ Agent combines automation, intelligence, and clarity to deliver a practical and reliable data health check
Detect missing values, duplicates, inconsistencies, and formatting errors instantly
Apply user-defined validation rules for nuanced, business-specific checks
Column-level data quality scores with clear visual indicators
Clear remediation guidance to resolve identified issues quickly
Branded, multi-page PDF reports delivered directly to stakeholders
