Manufacturing

Trusted Data for Engineering, Operations & Quality
Ensure product quality, operational excellence, and regulatory confidence with accurate, governed, and observable data.

RightData helps organizations ensure their data is accurate, reconciled, certified, audit-ready, and usable across analytics and AI.

Industry Challenges

Common data challenges that impact manufacturing organizations

  • Data spread across ERP, PLM, MES, QMS, and engineering systems
  • Inconsistent definitions between engineering, operations, and quality
  • Manual reconciliations and validations
  • Unstructured data locked in drawings, manuals, and service bulletins
  • Regulatory and compliance pressure
  • AI and analytics initiatives built on unreliable data

How RightData Works

A proven approach to building trusted data foundations for manufacturing

  1. Connect Systems

    Integrate ERP, PLM, MES, QMS data sources

  2. Validate & Reconcile

    Cross-system BOM validation and reconciliation

  3. Govern Documents

    Extract CDEs from engineering documents

  4. Certify & Monitor

    Quality certification and continuous monitoring

Before & After RightData

See the transformation RightData enables for manufacturing organizations

Aspect Before After RightData
Engineering Changes ✕ Manual impact analysis, weeks Automated validation in hours
BOM Accuracy ✕ Frequent discrepancies across systems Single source of truth, real-time sync
Document Governance ✕ Manual reviews, missed updates Automated CDE extraction and alerts
Quality Compliance ✕ Reactive issue discovery Proactive monitoring and early warnings
AI/ML Readiness ✕ Months of data preparation Certified data products for predictive AI

Transform your data operations with RightData

Key Capabilities

RightData provides DataTrust for quality and certification, RightSight for observability, and DataMarket for data products.

Engineering Data Quality

BOM and spec validation with automated checks

System Reconciliation

Cross-system ERP/PLM/MES/QMS reconciliation

Data Certification

Quality audit and certification workflows

Document Governance

CDE extraction from manuals and service bulletins

Observability

Pipeline and quality monitoring with RightSight

Industrial AI

Trusted data for predictive maintenance and optimization

Key Use Cases

  1. Engineering change management and impact validation
  2. Quality management and compliance reporting
  3. Production and operations analytics (OEE, yield, downtime) with certified data products
  4. Supply chain visibility and supplier data validation
  5. Industrial AI enablement (predictive maintenance, quality optimization)

Proof: Example: GE Aerospace – automated CDE audits between service bulletin manuals (unstructured) and IFS system to detect inconsistencies and support remediation.

Business Outcomes

Measurable results our customers achieve

  • 85% Improved quality
  • 70% Less rework
  • 3x Faster change cycles
  • 50% Lower compliance risk

Estimate Your Impact

See what organizations in manufacturing typically achieve with RightData

Value Impact Estimator

See what organizations like yours typically achieve

Select your organization size:

Growing

Building data foundations
50-500 employees

Mid-Market

Scaling data operations
500-5,000 employees

Enterprise

Complex data ecosystems
5,000+ employees

Select your organization size above to see typical outcomes

Ready to Build Trust in Your Data?

Join leading manufacturing organizations that trust RightData for their data quality and governance needs.