Key features
Automate data discovery and classification by leveraging AI/ML for superior data governance outcomes
Virtusa’s robust data governance framework goes beyond compliance and risk management to help you unlock insights to deliver a differentiated customer experience. The framework uses ML and NLP capabilities to help you govern data usage to meet regulatory compliance, improve efficiency, and innovate. Moreover, by harnessing solid ties with some of the leading tool vendors such as IBM, Oracle, Microsoft, Virtusa has strong data governance accelerators such as the DQ platform, ML, and MDM accelerators.
Partner with us to discover your data maturity level and design the unique methodology that’s best for your business.
Assess current landscape
- Data governance assessment – data lineage, DQ, MDM/RDM, data security
- Data governance roadmap
- Advisory: data governance policies, process, and office
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
Design and implement MDM
- MDM solution design
- MDM configuration and implementation
Enable ML based data cataloging
- Discover metadata
- Build technical catalog
- Build business glossary
- ML-driven data association
Automate data lineage
- Identify location of sensitive data
- Collate technical and business metadata
- Discover data flow across systems
- Establish data lineage
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