Data collection:
- Identify different data sources inside and outside the organization
- Develop strategies and mechanisms for data collection in an organized and effective manner
Data storage systems:
- Selection and development of the appropriate data storage infrastructure
- Design databases and organize data hierarchically or relationally
Data processing and purification:
- Application of cleaning and data validation processes
- Remove duplicate or incorrect data
Classification and documentation of data:
- Development of a system for classifying data by specific categories and classifications
- Document data and create a comprehensive data directory
Data Governance Department:
- Define policies and procedures for effective data management
- Define roles and responsibilities for data management within the organization
Data security and protection:
- Apply security measures to protect data from damage or hacking
- Create backup copies and keep records of changes
Analysis and use of data:
- Develop data analysis capabilities to extract valuable information
- Integrate data and synthesize knowledge to make more effective decisions
