Data Engineering

Data Governance & Quality

Organizations that skip governance pay for it later in data quality incidents, compliance failures, and analysts who don't trust their dashboards. We implement data governance programs that are practical and proportionate to your organization's scale, not theoretical frameworks that collect dust.

80%

Reduction in Data Quality Issues

Full

Column-Level Lineage

GDPR

Compliance Ready

What We Deliver

Data Governance & Quality Services

Practical, production-ready work — not proofs of concept that never make it to real users.

Data Quality Monitoring

Automated data quality checks on freshness, completeness, distribution, and referential integrity with alerting on violations.

Data Catalog

Searchable catalog of your data assets with business definitions, owners, quality scores, and usage metadata.

Lineage Tracking

Column-level lineage from source systems through transformations to dashboard fields for impact analysis and root cause investigation.

Access Control & Privacy

Role-based access control, PII tagging, data masking, and retention policies that satisfy GDPR, CCPA, and HIPAA requirements.

How We Engage

Common Engagements

01

GDPR Compliance Program

PII discovery, classification, and access control implementation across a multi-cloud data environment.

02

Data Quality at Scale

Automated quality monitoring across hundreds of tables with SLA-based alerting and business stakeholder reporting.

03

Enterprise Data Catalog

Self-service data catalog implementation that lets analysts find, understand, and assess confidence in data assets independently.

04

Incident Root Cause

Lineage-powered root cause analysis framework that traces a bad dashboard number back to its source in minutes rather than days.

Why InnovTen

What You Can Count On

  • Analysts spend time analyzing instead of debugging data quality issues
  • Regulatory audits become straightforward when lineage and access logs are automated
  • Self-service analytics becomes safe when quality and access controls are in place
  • Data ownership is clear, reducing the "who owns this?" question on every incident
  • PII is identified and protected systematically rather than on an ad hoc basis

Technologies We Use

Monte Carlo Great Expectations dbt Tests Apache Atlas Alation Collibra Snowflake Access Controls dbt

Ready to Get Started?

Tell us about your project and we'll put together a practical path forward.

Talk to Our Team