Synthetic Data for Public Organizations

Learn more about the role of synthetic data
for public organizations

Public Organizations

Research & education
Research & education
  • Reduce time to access data for researchers and PhD students
  • Improve access to more data sources
  • Provide representative data for study courses
  • Publish synthetic data for papers that require data publication
Data collectors 
Data collectors 
  • Allow data distribution in synthetic form
  • Shorten data access requests
  • Reduce bureaucracy related to data access requests
  • Utilize data better
Public authorities 
Public authorities 
  • Serve as “role model” in the way of working with sensitive data
  • Provide faster access to data, without hindering developers and data scientists
  • Privacy-by-design test data

45%

of government IT leaders indicate data infrastructure as barrier to digitalization

56%

of public organizations cited data sharing and privacy as challenge

9.5%

Improvement of utilization of resources is estimated due to a data ecosystem

56%

organizations recognized data sharing and privacy as key challenge

Public Organizations and the role of data

Public organizations are integral components of societies worldwide and operate at various levels to offer essential services and activities for the “public good”. These entities play a crucial role in public welfare by providing education, healthcare, infrastructure, and more. Data serves as the lifeblood of these organizations, enabling informed decision-making, efficient resource allocation, and the development of effective policies. However, as data usage expands, ensuring individual privacy becomes vital.

Public organizations must employ data protection to mitigate privacy risks while leveraging the power of data to serve the collective good. On top of that, public organizations serve as role models in the way of working with privacy-sensitive data.

Why do public organizations consider synthetic data?

Privacy Protection
Privacy Protection

Public organizations often manage and process privacy sensitive personal information. Synthetic data allows them to create realistic but artificial datasets that mimic the characteristics of real data, without exposing individuals’ private information. This helps protect the privacy of citizens and ensures compliance with data protection regulations.

Serve as "Role Model"
Serve as “Role Model”

Public organizations have a responsibility to demonstrate best practices in handling sensitive data and set up new standards. By adopting synthetic data as an additional practice, these organizations demonstrate commitment to privacy, while still leveraging the power of data.

Data Sharing and Collaboration
Data Sharing and Collaboration

Public organizations frequently collaborate with other government agencies, research institutions, and private organizations. Sharing real data can be challenging due to privacy concerns and legal restrictions. Synthetic data provides a safe and compliant solution, enabling collaboration without risking data exposure.

Cost-Efficient Smart Analytics
Cost-Efficient Smart Analytics

Public organizations often operate within constrained budgets funded by taxpayers. Implementing synthetic data for smart analytics can significantly reduce costs associated with data collection, storage, and maintenance.

Proud winners of the Global
SAS Hackathon

We are proud to announce that Syntho won in the healthcare and life sciences category after months of hard work on unlocking privacy-sensitive healthcare data with synthetic data as part of cancer research for a leading hospital.

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Case studies

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Why Syntho?

01
Experience working with the public sector

Drawing from its extensive involvement with numerous public and semi-public entities, Syntho has experience with public procurement regulations and the onboarding process.

02
Flexibility in way of working and support

Syntho recognizes the unique operational dynamics of public organizations and tailors its approach accordingly. We provide comprehensive (consulting) assistance throughout the entire process, from adoption and implementation to ongoing support, ensuring successful integration and customer satisfaction.

03
Easy to use

Syntho’s platform is designed with a user-friendly self-service interface, making it accessible even to non-technical users.

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What is synthetic data?

How does it work?

Why do organizations use it?

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