STRM vs. PHEMI Health DataLab

Creating and managing data policies can often feel like a daunting and exasperating task. Fortunately, with PACE from STRM, you have a robust solution at your fingertips that ensures data is used securely. By allowing you to implement data policies through coding, regardless of their location, it eliminates the need for lengthy delays and costly meetings. Welcome to your cutting-edge open-source data security engine that redefines the management of data governance. Data policies are crucial not only for regulating access but also for extracting valuable insights from data while upholding necessary protections. PACE enables you to collaborate on the reasoning and timing of policies, automating their implementation via code. With PACE, you can programmatically establish and enforce data policies across diverse platforms, enhancing flexibility. This tool is designed to integrate effortlessly with your current data platform and catalog, leveraging the capabilities already present in your technology stack. By automating the application of policies across vital data systems and catalogs, PACE greatly simplifies your governance responsibilities. This groundbreaking solution optimizes both the creation and enforcement of policies, allowing for centralized oversight while enabling decentralized execution. Furthermore, it facilitates compliance with auditing standards by providing clarity on how controls are applied. Ultimately, PACE transforms the landscape of data governance, making it not only more efficient but also significantly more user-friendly, paving the way for future advancements in data management.

In contrast to many conventional data management systems, PHEMI Health DataLab is designed with Privacy-by-Design principles integral to its foundation, rather than as an additional feature. This foundational approach offers significant benefits, including: It allows analysts to engage with data while adhering to strict privacy standards. It incorporates a vast and adaptable library of de-identification techniques that can conceal, mask, truncate, group, and anonymize data effectively. It facilitates the creation of both dataset-specific and system-wide pseudonyms, enabling the linking and sharing of information without the risk of data leaks. It gathers audit logs that detail not only modifications made to the PHEMI system but also patterns of data access. It automatically produces de-identification reports that are accessible to both humans and machines, ensuring compliance with enterprise governance risk management. Instead of having individual policies for each data access point, PHEMI provides the benefit of a unified policy that governs all access methods, including Spark, ODBC, REST, exports, and beyond, streamlining data governance in a comprehensive manner. This integrated approach not only enhances privacy protection but also fosters a culture of trust and accountability within the organization.