concept#Data#Analytics#Data Integrity#Data Protection

Data Controls

Data controls are essential measures to protect and ensure the integrity of data.

Data controls play a crucial role in protecting sensitive information and complying with legal requirements.

Maturity

Established

Cognitive loadMedium

Classification

ComplexityMedium
Impact areaBusiness
Decision typeArchitectural
Organizational maturityIntermediate

Technical context

Integrations

Data Management SystemsCompliance Tracking ToolsSecurity Monitoring Systems

Principles & goals

Principles

Always ensure data security.Transparency in data processing activities.Regular training for employees.

Value stream stage

Discovery

Organizational level

Enterprise, Domain, Team

Use cases & scenarios

Use cases

Scenarios

Compromises

Risks

Data breaches due to human error.
Insufficient employee training.
Technical failures during implementation.

Best practices

Conduct regular security reviews.
Document all data processing activities.
Training for employee awareness.

I/O & resources

Inputs

Access Logs
Regulatory Requirements
Data Sources

Outputs

Data Breach Reports
Compliance Reports
Validated Records

Resources

Description

Data controls play a crucial role in protecting sensitive information and complying with legal requirements. They encompass processes for monitoring, validating, and managing data throughout its lifecycle.

✔Benefits

Increased data security.
Better protection against data loss.
Compliance with legal requirements.

✖Limitations

Can be costly to implement.
Requires continuous monitoring.
Potential complexity in application.

Trade-offs

Metrics

Number of Data Breaches
A metric for monitoring data privacy incidents.
Frequency of Trainings
A metric for checking data security training sessions.
Compliance Rate
A metric for measuring compliance with legal regulations.

Examples & implementations

Implementation of Data Protection Policies

A company implemented strict data protection policies to safeguard customer data.

Audit of a Large Corporation

A comprehensive audit was conducted to ensure compliance with regulations.

Access Monitoring in a Bank

A bank implemented systems to monitor data access and changes.

Implementation steps

Create data protection policies.

Conduct employee training sessions.

Implement security systems.

⚠️ Technical debt & bottlenecks

Technical debt

Outdated security systems.
Insufficient data integration solutions.
Lack of training resources.

Known bottlenecks

Lack of resource allocation.Insufficient employee qualification.High implementation costs.

Misuse examples

Unauthorized access to data.
Non-compliant data processing.
Misuse of user information.

Typical traps

Overlooking data protection policies.
Neglecting regulatory requirements.
Insufficient resources for implementation.

Required skills

Knowledge in Data SecuritySkills in Data ManagementRegulatory Knowledge

Architectural drivers

Compliance with regulatory requirements.Protection of sensitive information.Ensuring data integrity.

Constraints

• Regulatory requirements must be observed.
• Technological infrastructure must be compatible.
• Budget requirements must be met.