Enterprise Data Quality Management Platform

Unified metadata observability, augmented data quality, and pipeline monitoring in one intelligent platform.

The Data Intelligence Difference

Data analysts spend 80% of their time finding and understanding data. RightSight changes that.

Move from data chaos to data clarity with unified observability across metadata, quality, and pipelines.

Why Manual Documentation Falls Short

Spreadsheets and wikis can't keep up with modern data environments

✕ No visibility into where data comes from
✕ Unable to assess change impact accurately
✕ Hours spent searching for the right data
✕ Outdated or missing documentation
✕ Siloed metadata across tools
✕ No cross-platform lineage tracking

Three Pillars of Data Intelligence

Complete Observability for Your Data Ecosystem

RightSight unifies metadata observability, augmented data quality, and pipeline monitoring in one intelligent platform

Pillar 1: Metadata Observability

Automated metadata intelligence at scale

Automate metadata harvesting, enrich with business context, and track every change across your data ecosystem with time-travel capabilities.

  • Automated Metadata Harvesting
  • Business Enrichment

Pillar 2: Data Quality Observability

AI-powered quality coverage at enterprise scale

Expand data quality coverage across your entire platform using Gen AI to automatically generate rules, assess quality scores, and provide deep insights into your data quality posture.

  • Gen AI Rule Generation
  • Quality Score Assessment

Pillar 3: Pipeline Monitoring

Real-time observability for data pipelines

End-to-end visibility into data pipeline health, performance, and reliability with automated alerting and intelligent troubleshooting.

  • Real-Time Monitoring
  • Job Dependency Mapping

End-to-End Data Lineage Visualization

RightSight automatically traces data from source systems through transformations to final reports. Understand exactly where your data comes from and how it's transformed at every step.

  • Column-level lineage tracking
  • Cross-platform transformation tracing
  • Impact analysis for change management
  • Interactive lineage graph exploration

Data Intelligence Pipeline

From Metadata to Insights

See how RightSight transforms raw metadata into actionable data intelligence with complete lineage and impact analysis

  1. Harvest - Collect Metadata

    • Automatically extract metadata from all data sources

  2. Catalog - Organize Assets

    • Build a comprehensive catalog with classifications and tags

  3. Trace - Map Lineage

    • Track data flow across systems with column-level precision

  4. Discover - Find & Explore

    • Search, browse, and understand your data landscape

  5. Analyze - Impact Analysis

    • Assess upstream/downstream impact of changes

Deliver Intelligence

Visibility

Understanding

Collaboration

Automated Metadata Intelligence and Discovery at Enterprise Scale

Automated Metadata Harvesting

Continuously collect technical, business, and operational metadata from all sources automatically.

Business Enrichment

Enrich metadata with business descriptions, owners, and domain context for better understanding.

Auto-Tagging & Classification

AI-powered automatic tagging, PII detection, and sensitivity classification across your data estate.

Schema Drift Detection

Capture and alert on schema changes with full change history and impact analysis.

Augmented Data Quality

AI-powered Quality Coverage and Scoring at Enterprise Scale

Gen AI Rule Generation

Automatically generate data quality rules using the power of Generative AI for comprehensive coverage.

Quality Score Assessment

Assess data quality scores at dataset, domain, and enterprise levels with unified metrics.

Slice & Dice Analytics

Analyze quality posture by dimension, domain, source, or custom segments for deep insights.

Coverage Expansion

AI-driven recommendations to expand quality coverage across the entire data platform.

Pipeline Monitoring

Real-time Observability and Alerting for Data Pipelines

Real-Time Monitoring

Live pipeline status, performance metrics, and execution tracking across all your data workflows.

Failure Detection

Instant alerts on pipeline failures, delays, and anomalies with intelligent root cause analysis.

SLA & Freshness Tracking

Monitor data freshness and delivery SLA commitments with proactive notifications.

Smart Alerting

Context-aware notifications with escalation workflows and integration with your tools.

Get Full Visibility Across Your Data.

Lineage, observability, and discovery - across every data system you run.

Complete Data Intelligence Platform

Unified metadata management, lineage tracking, and impact analysis across your entire data ecosystem

  • Databases: All Platforms
  • ETL Tools: Informatica, dbt
  • BI Tools: Tableau, Power BI
  • Data Apps: Scripts & Notebooks

Capabilities by Pillar

Metadata Observability

Automate metadata harvesting, enrichment, and change tracking

Business Enrichment

Enrich metadata with business descriptions, owners, and domain context.

Schema Drift Detection

Capture and alert on schema changes with full change history and impact analysis.

Smart Data Discovery

Natural language search with AI-powered recommendations and usage analytics.

Where RightSight Excels

  • Automated Metadata Harvesting
  • Auto-Tagging & Classification
  • Schema Drift Detection
  • Business Context Enrichment
  • Gen AI Rule Generation
  • Multi-Level Quality Scoring
  • Real-Time Pipeline Monitoring

Measurable Impact

  • 85% Less manual cataloging
  • 10x Faster rule creation
  • 99.5% Pipeline uptime
  • 80% Fewer false alerts
  • 3x Faster resolution
  • 95% Quality coverage

Ready to See Your Data Landscape?

See how RightSight can provide complete visibility into your data with automated lineage and discovery.