Safeguard personal and sensitive data and create more business value

Fuel success and support innovation as an intelligent enterprise by optimizing how you use data across all your interactions with your customers, employees, and partners.

Protect personal data and build trust

Understand and mitigate risk with the SAP Data Mapping and Protection application by BigID. Find out where data comes from to confidently know if you can process it for your intended purposes.

• On-premise deployment
• Identification and mapping of personal and other sensitive data at scale
• Machine learning for correlation of data to individuals or entities
• Analysis on premise, in the cloud, and structured or unstructured

Key benefits

Secure sensitive data for greater value

Gain a deeper understanding of your data so you can share trusted information and insights to improve decision-making across the enterprise and with partners.

Control and mitigate data risk automatically

Understand, assess, and mitigate the risk of using personal data, while supporting the interests and demands of your customers in the experience economy.

Innovate while respecting strict regulations

Meet regulatory requirements, ensure that you are using data responsibly, and defend your organization’s reputation and brand with improved data protection.

Key features

Comprehensive data discovery and security

• Achieve advanced discovery, classification, correlation, and cataloguing of data at scale
• Analyze data across multiple data stores and sources and get a continuously updated view of sensitive information
• Identify data usage with precision to support decision-making about data protection

New insights from advanced data mapping

• Map data with advanced, machine learning-based data classification, correlation, and cataloguing
• Support GPDR, CCPA, and other regulations to highlight data entities considered to be at risk
• Visualize data location, relationships, lineage, and flow, as well as uncover “dark” or uncatalogued data

Powerful analytics for risk measurement and reduction

• Integrate metadata analysis to provide a richer view of data
• Measure data risk according to various factors including data sensitivity, location, access, and consent
• Increase visibility into risk to determine allowable data use

Support for data privacy requirements and regulations

• Understand data in detail and meet the requirements of existing and emerging regulations
• Respond efficiently to requests from data subjects and locate and delete personal data at the end of its intended business use
• Provide an accurate list of affected users in the event of a data breach