Enable ML based data cataloging
- Discover metadata
- Build technical catalog
- Build business glossary
- ML-driven data association
Assess protocols and implement security controls
- Sensitive data discovery
- Data masking (dynamic/static)
- Continuous monitoring
- Data sub-setting and retirement
Implement information lifecycle management (ILM) policy to identify and archive data
- Define ILM policy
- Locate sensitive data
- Implement tier-based data archival
- Audits, reports, and restore
Enhance DQ for a unified business experience
- Metadata management and data cataloging
- Rules engine
- Define DQ KPIs
Implement continuous monitoring - Advanced DQ with ML and statistical methods