Every day an employee is off sick costs organizations money and speed. Additionally, keeping employees healthy and engaged is essential to avoid spending up to multiple times an annual salary on replacement hires. To find out what drives health & engagement at work, access to high quality data is therefore essential.

Sensitive employee data and survey records are stored in separate systems and are typically only accessible in summarized and de-identified form. To understand root causes of workplace issues and identify improvement opportunities, you want the ability to connect and analyse across datasets including engagement surveys, performance & promotion data, payroll data, absence & sick leave.  

For most companies, this is difficult for one or more reasons:  

• Data is siloed, with access restricted to specific departments  
  
• Data is partially processed by external vendors, and no longer linkable 
• Bringing data together would expose the organization to unacceptable risk levels 
• Countries with strict privacy legislations restrict processing of sensitive personal data  

Connecting engagement surveys to HR data

At Roseman Labs, we solve these challenges with a unique form of encrypted computing. In our platform, data analysts work in a standard python environment and can perform analyses on combined datasets as if they were a single data source. Yet in reality, the sensitive data remains distributed and encrypted at all times.  

The platform provides closed-loop control with upfront script approval. It is also possible to set thresholds and other conditions to ensure sufficient aggregation of results. 

AI on encrypted data

Beyond providing statistics, Roseman Labs’ python packages enables training and running of machine learning and AI models. Bringing the power of AI to sensitive data provides unprecedented opportunities to benefit from people analytics.  

Keeping sensitive employee records secure

Roseman Labs not only protects sensitive employee data, but also keeps proprietary company data and model training parameters secure. Our technical safeguards ensure the strongest and most efficient form of data protection and information security available today.  

Read more about our commitment to cyber security. 

You can also check out our blog on addressing occupational disease in the workplace.

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.