Smart Data Governance

AI-Powered Data Quality, Compliance & Stewardship

Transform data governance from a reactive overhead into a proactive strategic advantage. Kaman's intelligent platform automatically discovers, classifies, monitors, and protects your data assets while ensuring compliance and enabling trusted analytics.

The Data Governance Challenge

Organizations struggle with growing data complexity:

Common Pain Points:

Unknown data assets across the organization
Inconsistent data quality and definitions
Manual classification and tagging
Difficult regulatory compliance (GDPR, CCPA, HIPAA)
Unclear data ownership and accountability

The Kaman Solution

Automated Data Discovery

Find and catalog all your data automatically:

Discovery Capabilities:

Capability	Description
Schema Detection	Automatic structure analysis
Content Profiling	Statistical analysis of data values
Pattern Recognition	Identify data types and formats
Relationship Mapping	Discover connections between datasets
Sensitivity Detection	Find PII, PHI, financial data

Intelligent Classification

AI-powered data categorization:

Classification Categories:

Personal Identifiable Information (PII): Names, SSN, addresses, emails
Protected Health Information (PHI): Medical records, diagnoses
Financial Data: Account numbers, transactions, credit data
Intellectual Property: Trade secrets, proprietary information
Regulatory Data: Data subject to specific regulations

Continuous Data Quality

Monitor and improve data quality automatically:

Quality Dimensions:

Dimension	What It Measures
Completeness	Missing values and required fields
Accuracy	Correctness against known sources
Consistency	Cross-system agreement
Timeliness	Data freshness and currency
Uniqueness	Duplicate detection
Validity	Format and business rule compliance

Key Capabilities

Data Catalog & Business Glossary

Create a single source of truth for data definitions:

Catalog Features:

Searchable data inventory
Business term definitions
Technical metadata
Data owner assignment
Usage tracking
Collaboration tools

Automated Data Lineage

Track data from source to consumption:

Lineage Benefits:

Impact analysis for changes
Root cause analysis for issues
Compliance documentation
Trust verification
Troubleshooting support

Policy Automation

Enforce governance policies automatically:

Policy Type	Automation
Access Control	Automatic permission enforcement
Retention	Scheduled archival and deletion
Masking	Dynamic data masking for sensitive fields
Encryption	Automatic encryption based on classification
Consent	Data subject preference enforcement

Compliance Management

Regulatory Framework Support

Built-in support for major regulations:

Compliance Features:

Pre-built regulation templates
Control mapping
Continuous monitoring
Automated evidence collection
Audit-ready reports
Gap analysis

Data Subject Rights

Handle privacy requests efficiently:

Supported Rights:

Right to Access (data portability)
Right to Erasure (deletion)
Right to Rectification (correction)
Right to Restrict Processing
Consent management

Intelligent Memory for Governance

Pattern Discovery

Kaman's AI automatically discovers:

Hidden relationships between datasets
Data quality patterns and anomalies
Usage patterns and access trends
Compliance risk indicators
Optimization opportunities

Proactive Recommendations

AI-driven governance suggestions:

Recommendation Types:

Data quality rule suggestions
Classification corrections
Access policy optimizations
Retention policy updates
Integration opportunities

Data Stewardship

Role-Based Stewardship

Assign clear ownership and responsibility:

Role	Responsibilities
Data Owner	Business accountability, policy decisions
Data Steward	Day-to-day quality management
Data Custodian	Technical implementation
Data Consumer	Responsible usage

Stewardship Workflows

Automate governance processes:

Issue escalation and resolution
Change request management
Quality remediation tasks
Policy exception handling
Certification workflows

Benefits

Operational Excellence

Benefit	Impact
Discovery Time	90% faster data asset identification
Classification	Automatic vs. manual tagging
Quality Monitoring	Continuous vs. periodic
Issue Resolution	60% faster root cause analysis

Risk Reduction

Benefit	Impact
Compliance	Automated evidence and audit trails
Privacy	Proactive PII/PHI protection
Security	Sensitive data visibility
Accuracy	Reduced decision risk from bad data

Business Value

Benefit	Impact
Trust	Confidence in data for decisions
Productivity	Self-service data discovery
Agility	Faster time to insight
Cost	Reduced storage and compliance costs

Implementation Approach

Phase 1: Discovery

Connect Data Sources
- Inventory existing systems
- Establish connectivity
- Run initial discovery scans
Baseline Assessment
- Profile data assets
- Identify sensitive data
- Document current state

Phase 2: Organization

Catalog Setup
- Define business glossary
- Assign data ownership
- Establish classification scheme
Quality Baseline
- Define quality rules
- Calculate initial scores
- Prioritize improvements

Phase 3: Automation

Policy Implementation
- Configure access policies
- Set up retention rules
- Enable masking/encryption
Continuous Monitoring
- Activate quality monitoring
- Enable compliance tracking
- Set up alerting

Getting Started

Assessment Questions

What data sources need governance?
What regulations apply to your data?
Who are your data stakeholders?
What are your biggest data quality challenges?
What governance processes exist today?

Quick Wins

Start with high-impact areas:

Sensitive data discovery
Critical data quality monitoring
Key system lineage mapping
Primary compliance requirements

Building the Program

Expand systematically:

Add data sources incrementally
Refine classification models
Expand quality coverage
Mature stewardship processes

Smart Data Governance - Automated discovery, quality, and compliance