Data Governance

StrategyandGovernance

Develop strategies, policies, governance models and controls to manage the Data Management

• Framework and methodology
• Policies, Standards, Processes and Guidelines
• Maturity Assessment, Posture and Gap Analysis (e.g. GDPR, Data Retention, AI Act, etc.)
• Training and Awareness
• Data Management program and certification

Data
Discovery

Detect data into organizational process in order to implement the information management model

• Data management lifecycle (e.g.process and procedures, etc.)
• Organizational and Technological model (e.g. RACI, etc.)
• Data mapping (e.g.asset discovery, etc.)

Data
Classification

Ensure CIA (confidentiality, integrity and availability)principle to each information categories

• Confidentiality Integrity Availability (CIA) assessment
• Data Labelling (e.g. classification, categorization, etc.)
• Privacy analysis (e.g. GDPR, etc.)
• Data Owner management (e.g. inventory, CMDB, etc.)

Business
Intelligence

Understand the data available and discover data outside to have all best information needed to take decisions

• Data elaboration models and process
• Behavioral models
• Use cases definition

Infrastructure
Data Management

Allow the end-to-end data management across the ICT environment and address a secure governance

• Data Impact assessment (e.g. risk-based, etc.)
• Asset classification (e.g. classification, categorization, etc.)