How Immuta Unlocked Public Health Data Analysis for a Non-Profit

Public health data analysis can be complicated due to the volume of sensitive information involved. Ensuring that personally identifiable information (PII) and protected health information (PHI) are appropriately identified, masked, and used by only the right people is difficult at such a large scale.

This was the case for a non-profit research company that needed to move quickly to analyze the spread of the Covid-19 virus during a major holiday travel season.

Read this case study to see how this organization leveraged Immuta to enable public health data analysis, and in doing so:

  • Saved over $1 million annually in data engineering costs
  • Simplified the data request process for researchers, reducing the time to data by 30x, from 90 days to 3 days
  • Eliminated the need to manage hundreds of individual data access policies by moving from RBAC to ABAC
  • Reduced the number of data access control policies to fewer than 10, which can be easily authored by non-technical data governance experts