Entities and Attributes of Compliance Management Systems
In database design for compliance management, common entities and their attributes include:
Policy
- PolicyID (Primary Key): Unique identifier for each policy.
- Title: Title or name of the policy.
- Description: Description of the policy.
- Category: Category or type of policy (e.g., regulatory, internal).
- Owner: Owner or responsible party for the policy.
- EffectiveDate: Effective date of the policy.
Risk
- RiskID (Primary Key): Unique identifier for each risk.
- Description: Description of the compliance risk.
- Likelihood: Likelihood of the risk occurring.
- Impact: Impact of the risk on the organization.
- Status: Status of the risk (e.g., identified, mitigated).
Control
- ControlID (Primary Key): Unique identifier for each control.
- Description: Description of the control.
- Type: Type of control (e.g., preventive, detective, corrective).
- Owner: Owner or responsible party for the control.
- ImplementationDate: Date of control implementation.
- Status: Status of the control (e.g., implemented, pending).
Issue
- IssueID (Primary Key): Unique identifier for each compliance issue.
- Description: Description of the compliance issue.
- Date: Date of the issue occurrence.
- Severity: Severity level of the issue.
- Status: Status of the issue (e.g., open, closed).
How to Design Database for Compliance Management Systems
Compliance management systems are like the backbone of organizations, ensuring they stick to the rules, meet industry standards, and stay true to their internal policies. They’re the unsung heroes in the background, keeping everything in check and ensuring the trustworthiness of the company in the eyes of stakeholders.
But behind every efficient compliance management system lies a well-designed database. It’s the powerhouse that stores, organizes, and analyzes all the compliance-related data, making sure nothing falls through the cracks. Let’s dive into the nitty-gritty of how to craft a database tailored specifically for these systems.
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