Data Management
Transformation
Define overall data transformation , roadmap and plan
Goals – Benefits – Effectiveness
Enablement
Help develop and maintain body of knowledge for adoption of data assets
Strategy – Architecture -Training – Talent Management
Data Management
Manage end to end data mgmt. lifecycle
- Standards
- Best Practices
- On prem to cloud migration
- Data Integration
- Data Services
- Pipeline Optimization
- Data Provisioning
Data Governance
Establish robust data governance and controls
- Policy
- Data quality management
- Metadata and Lineage
- Exceptions and Issue management
- Automation and process optimization
BI & Analytics
Focus on business outcomes and priorities
- Dashboarding and reporting
- Data Science
- AI/ML
- Analytics COE
- Data Apps and products
Operations & Change management
Manage monitor and operate data platforms
- Configuration and Support
- Tooling
- Platform ops
- Data Ops
- Release Management
- Quality Assurance
- CI/CD
- Service mgmt.
Data Infrastructure
Security, Compliance, Audit, Compute and Storage, Database Services and Admin
Program Governance
Processes, Procedures, Communication structure, Governance policies
Challenges and Key Drivers
Industrialized, nimble and governed data platforms and advanced analytics capabilities is at the center
Upgrade to Modern Data Architecture to achieve Speed, Flexibility and Innovation
Business Information Architecture
