Data Governance & Classification

Establish comprehensive data governance frameworks that ensure data quality, security, and compliance. From automated data classification to regulatory compliance, we help organizations manage their data assets effectively.

Governance Assessment

Governance Services

Data Classification

Automated discovery and classification of sensitive data across systems.

Data Quality Management

Data quality monitoring, validation, and cleansing processes.

Compliance Management

GDPR, CCPA, HIPAA, and industry-specific compliance frameworks.

Data Lineage Tracking

End-to-end data flow tracking and impact analysis.

Privacy Protection

Data anonymization, pseudonymization, and privacy controls.

Access Control

Role-based access control and data access auditing.

Governance Technologies

Microsoft Purview

Enterprise data catalog and governance platform for data discovery and classification.

Apache Atlas

Open-source data governance platform for metadata management and lineage.

Collibra

Data governance platform for policy management and data stewardship.

Custom Governance Solutions

Tailored data governance frameworks using Python, Apache Airflow, and monitoring tools.

Automated Data Classification

Automated Data Classification

AI-powered data discovery and classification with real-time monitoring and alerts

  • Sensitive data detection
  • Automated tagging and labeling
  • Risk assessment scoring
  • Compliance reporting
  • Access pattern analysis
Explore Classification
Data Lineage Visualization

Data Lineage Visualization

Comprehensive data flow tracking from source to consumption with impact analysis

  • End-to-end data lineage
  • Impact analysis tools
  • Data dependency mapping
  • Change impact assessment
  • Regulatory reporting
View Lineage Demo
Data Governance Framework

Governance Pillars

Data Quality Management

  • Quality Dimensions: Accuracy, completeness, consistency, timeliness
  • Quality Metrics: Automated quality scoring and monitoring
  • Data Profiling: Statistical analysis of data patterns
  • Cleansing Rules: Automated data correction and standardization

Data Security & Privacy

  • Sensitive Data Discovery: PII, PHI, and financial data identification
  • Encryption Standards: Data at rest and in transit protection
  • Anonymization Techniques: K-anonymity, differential privacy
  • Consent Management: Privacy preference tracking and enforcement

Regulatory Compliance

  • GDPR Compliance: Data subject rights and processing lawfulness
  • CCPA Requirements: Consumer privacy rights and data transparency
  • HIPAA Standards: Healthcare data protection and access controls
  • SOX Compliance: Financial data integrity and audit trails

Data Classification Schema

Sensitivity Levels

Public: 
  - Marketing materials
  - Published reports
  - General company information

Internal:
  - Employee directories
  - Process documents
  - Internal communications

Confidential:
  - Customer data
  - Financial information
  - Strategic plans

Restricted:
  - Personal health information
  - Payment card data
  - Government classified data

Data Categories

  • Personal Data: Names, addresses, phone numbers, emails
  • Financial Data: Credit cards, bank accounts, transaction records
  • Health Information: Medical records, insurance data, genetic information
  • Intellectual Property: Trade secrets, patents, proprietary algorithms

Governance Processes

Data Stewardship

  • Data Ownership: Clear accountability for data assets
  • Steward Responsibilities: Data quality, access control, lifecycle management
  • Escalation Procedures: Issue resolution and decision-making processes
  • Training Programs: Data handling and compliance training

Monitoring & Auditing

  • Access Logging: Comprehensive audit trails
  • Quality Monitoring: Continuous data quality assessment
  • Compliance Checking: Automated policy violation detection
  • Performance Metrics: Governance effectiveness measurement

Implementation Approach

Phase 1: Assessment & Planning

  1. Data landscape discovery
  2. Current state assessment
  3. Governance strategy development
  4. Tool selection and architecture

Phase 2: Foundation Setup

  1. Data catalog implementation
  2. Classification engine deployment
  3. Policy framework establishment
  4. Initial data profiling

Phase 3: Operationalization

  1. Automated monitoring setup
  2. User training and adoption
  3. Process refinement
  4. Continuous improvement

Establish Data Governance Excellence

Start with a comprehensive data governance assessment to identify opportunities and create a roadmap for success.
Schedule Governance Assessment