Built for Privacy, Designed for Simplicity
Effortlessly manage your data inventory and stay compliant with GDPR, CCPA, and other privacy regulations using powerful features.
Comprehensive System Visibility
- Inventory all systems owned or operated by your organization, including applications, databases, websites, products, and file systems.
- Maintain a centralized hub for tracking systems with a self-service portal.
Meet Regulatory Requirements
- Automate the discovery of personal data and monitor metadata across systems.
- Support for privacy and regulatory needs such as PIA/DPIA, PbD, and Vendor assessments.
Actionable Data Mapping and Insights
- Create a comprehensive, actionable map of data flows and processing activities.
- Identify personal data categories, collections, retention, and security measures.
Maintaining data inventory with the right level of automation is the key to ensure the security and integrity of personal data.
How It Works
FAQs
Data inventory and mapping is like creating a detailed map of all the personal data your organization handles. It involves identifying, categorizing, and documenting how data flows – where it comes from, where it’s stored, how it’s used, and who has access to it. This helps you understand your data landscape and comply with privacy laws.
It’s crucial for several reasons:
- Legal Compliance: Helps you meet requirements of data privacy laws like GDPR, CCPA, and HIPAA.
- Risk Management: Identifies vulnerabilities and protects sensitive information from breaches.
- Transparency: Shows you’re accountable for how you handle data, building trust with customers.
- Efficiency: Improves data governance and streamlines operations by understanding your data better.
Your data map should cover all personal, sensitive, and operational data, including:
- PII (Personally Identifiable Information): Names, email addresses, phone numbers, etc.
- Customer and Employee Data: Contact details, employment history, purchase history, etc.
- Financial Information: Payment details, bank account numbers, etc.
- Health Records (if applicable): Medical history, diagnoses, etc.
- Metadata: Information about the data itself, like when it was created or modified.
- Third-Party Data: Data shared with or received from vendors and partners.
The process typically involves:
- Discovery: Identifying all data sources (databases, apps, cloud storage, etc.).
- Categorization: Classifying data based on sensitivity and legal requirements.
- Documentation: Mapping how data flows across systems and to third parties.
- Analysis: Reviewing access controls, storage methods, and data retention policies.
- Regular Updates: Keeping the map current as your data practices change.
At least annually, or more frequently whenever you make significant changes to your data collection, storage, or processing. Regular updates are key to staying compliant and secure.
Yes, many data protection laws mandate data mapping. For example:
- GDPR: Requires Records of Processing Activities (RoPA), which are essentially data maps.
- CCPA: Requires businesses to disclose data collection and sharing practices.
Common challenges include:
- Comprehensive Identification: Finding all data sources, especially in complex systems.
- Keeping it Current: Maintaining accuracy in dynamic environments.
- Unstructured Data: Managing data in emails, documents, and other unstructured formats.
- Cross-Departmental Collaboration: Getting everyone on board and sharing information.
- Multiple Regulations: Meeting the requirements of different privacy laws.
Data inventory and mapping automation software automates the process of tracking and managing an organization’s data assets and data flows. It enhances data governance, ensures compliance with data protection regulations, and strengthens data security.