DATPROF primarily offers capabilities for subsetting test data, masking sensitive information to comply with GDPR, and generating synthetic data for testing environments.
DATPROF enables companies to reduce storage costs, anonymize data, and seamlessly integrate within CI/CD pipelines. It supports databases such as Oracle, SQLServer, MySQL, Postgres, and IBM DB2 LUW, ensuring the protection of sensitive business information while creating test databases. The tool also provides intelligent software features, easy-to-maintain templates, and user-friendly interfaces, which make tasks like creating synthetic test data and masking sensitive information efficient. Integration with both SAP and non-SAP applications is smooth, with reusable masking templates, customizable scripts, and efficient database modeling.
What are the key features?
- Data Subsetting: Reduces storage costs by creating smaller, relevant datasets.
- Sensitive Data Masking: Complies with GDPR by anonymizing sensitive information.
- Synthetic Data Generation: Produces realistic test data for accurate testing.
- Intelligent Software: Simplifies data management and testing processes.
- Reusable Masking Templates: Templates can be reused across different projects for efficiency.
- SAP and Non-SAP Integration: Ensures seamless integration with multiple application environments.
- Customizable Scripts: Allows flexibility in meeting specific data management requirements.
- Efficient Database Modeling: Facilitates effective management of large-scale data refreshes and system coordination.
What benefits and ROI should be evaluated?
- Reduced Storage Costs: Efficient data subsetting saves on storage expenses.
- Compliance: Ensure adherence to GDPR by masking sensitive data.
- Smooth CI/CD Integration: Enhanced test environments within continuous integration and delivery pipelines.
- High Data Quality: EPI-USE Labs Data Secure integration ensures robust testing management.
- Resource Optimization: Efficiently manages databases and reduces manual efforts.
In specific industries, DATPROF solutions are implemented to enhance data handling capabilities. Financial institutions use these tools to anonymize customer data while maintaining realistic test environments, which is crucial for developing and testing new applications. Healthcare providers leverage DATPROF for complying with regulatory requirements like GDPR, ensuring patient data privacy during system upgrades and migrations. Retail companies rely on DATPROF to reduce storage costs and generate synthetic data that accurately reflects seasonal trends and customer behavior for better forecasting and inventory management. Government agencies find value in the tool’s ability to mask sensitive information, aiding in secure data sharing across departments for collaborative projects.
Informatica Intelligent Data Management Cloud (IDMC) is a robust platform used by banks, financial institutions, and health sector organizations for data management, governance, and compliance.
IDMC provides comprehensive tools for data discovery, profiling, masking, and transformation. It supports Salesforce integration, real-time data streaming, and scalable data management solutions. Health organizations manage national product catalogs while financial entities focus on data protection and regulatory compliance. Its intuitive interface, flexible features, and robust tools make it valuable across sectors, though enhancements in data integration and human workflow are being sought.
What are the most important features?
- Data discovery: Facilitates identifying and understanding data sources.
- Data profiling: Analyzes old databases for data quality.
- Data and platform masking: Ensures data protection.
- Salesforce integration: Seamless connectivity with Salesforce.
- Mastering data: Centralizing and standardizing data.
- UI intuitiveness: User-friendly interface.
- Feature map flexibility: Adapts to user needs.
- Business glossary creation: Defines business terms.
- Data lineage: Tracks data flow and transformations.
- Automation: Streamlines data processes.
- Enterprise data cataloging: Organizes extensive data assets.
- Scalability: Supports expanding data requirements.
- Easy setup: Quick deployment process.
- Bulk upload: Efficiently handles large data volumes.
- Customizable data management: Tailors data solutions.
- Real-time data streaming: Manages live data streams.
- Integration with Hadoop and NoSQL: Connects with big data platforms.
What benefits and ROI should be considered?
- Regulatory compliance: Ensures adherence to regulations.
- Data protection: Safeguards sensitive information.
- Enhanced data quality: Improves accuracy and reliability.
- Centralized data: Consolidates data for better management.
- Process automation: Reduces manual tasks and errors.
Banks and financial institutions use IDMC for data masking, transformation, and compliance, while health sector organizations leverage it for national product catalogs. Industry applications focus on automating business processes, centralizing data, and managing data catalogs to meet regulatory demands and ensure data protection.
