Benefit from Roseman Labs' advanced encryption technology for secure data analysis and engineering, whilst supporting compliance with GDPR and HIPAA.
Big data platforms like Fabric, Databricks or Elastic are fixtures in today’s modern data stack. Nevertheless, analyzing sensitive data at large scale still poses security and privacy challenges.
Roseman Labs enables you to incorporate advanced encryption technology right into your existing data pipelines. This technology is crucial for leveraging sensitive data without compromising privacy or confidentiality. Roseman Labs provides powerful tools for secure data analysis and engineering, whilst supporting compliance with GDPR and HIPAA.
If you are familiar with Python data tools like Jupyter or pandas, Roseman Labs' encryption package feels like a natural extension to your workflow. This ensures that regardless of the data processing stage, your sensitive information is secured, enhancing your ability to manage data effectively across systems and processes.
Secure data collection
Data pipelines often start with collecting high quality data. Roseman Labs offers multiple input tools including secure surveys, secure table uploads, and data validation at upload. In addition, you can use the API integration via the Python library to connect existing data sources.
Right from data capture, the data is validated, encrypted and protected—establishing a solid foundation for maintaining data integrity and confidentiality throughout its lifecycle.
Encrypted data throughout the process
Effective exploration, processing, and visualization of data are crucial for deriving actionable insights from complex datasets, especially when integrating multiple data sources.
By integrating Roseman Labs with diverse tools like Databricks, Power BI, Elastic or Fivetran, organizations can securely manage and visualize encrypted data—regardless of origin—while ensuring continuous protection. Such robust security measures enable insight-driven decision-making of comprehensive datasets without exposing sensitive information.
You can use encrypted data in your:
- Central data hub: Reinforce Databricks, Elastic or Fabric as the centralized system of your data analytics infrastructure by extending their functionality with a platform that can handle sensitive data. In this setup you can query all your centralized and sensitive data sources from a single place regardless of format, source or sensitivity—of course with the right authorizations for specific analyses. Maintain access control and governance while utilizing automation and security settings. Store, update and share your notebooks seamlessly with your team, all while safeguarding sensitive information and supporting secure, scalable analysis.
- Data processing: Enhance the data analytics workflow with confidential records, for example in Fivetran. Use the streamlined, automated workflows and include data in a secure and compliant manner for efficient data analytics workflows. Or add an additional encryption layer to allow sensitive datasets to be processed without exposing any raw information.
- Visualization and communication: Integrate Roseman Labs to process encrypted data securely, ensuring sensitive information remains hidden. With tools like Power BI and Tableau, you can share visualizations and analysis outcomes across teams without revealing the underlying data. Present results through real-time or static dashboards, driving informed decision-making beyond the data department.
Roseman Labs enables sensitive data analysis via easy integration with various platforms using Python-based programming languages. These are just some examples – the list of possible integrations is much longer. If your tooling isn’t mentioned, feel free to reach out, and we’ll work together to allow you to use sensitive data in the existing processes.
Strengthening your analytics pipeline
Integrating Roseman Labs into your technology stack strengthens the security and utility of data throughout the analytics pipeline. From initial collection to detailed processing and visualization, Roseman Labs ensures sensitive information remains secure and usable, allowing you to fully leverage data assets in a secure and compliant manner.
This strategic approach not only bolsters data security but also aligns with industry best practices, making it a crucial component of advanced data management strategies.
Are you ready to integrate Roseman Labs into your tech stack? Reach out or book a demo right away!
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Generate new insights on sensitive data with Roseman Labs’ secure Multi-Party Computation technology. Want to find out how your organization can do that? Contact us using the form below.
