Synthetic Data for Data Sharing
Explore how to eliminate data sharing challenges that you will face when sharing original data
Introduction to data sharing
Many organizations strive for data-driven innovation, where data plays a vital role and often requires sharing internally or externally with third parties. Without data, there can be no data-driven innovation or collaboration opportunities. A robust foundation for accessing and sharing relevant data is crucial for realizing data-driven innovation. However, accessing this data, whether by colleagues or third-party providers, presents challenges, and awareness of potential data-sharing solutions is limited.
Data Sharing challenges
- Privacy regulations like the GDPR are strict and limit data sharing
- Lack of smart solutions to share data in a secure way
- Organizations tend to discuss limitations instead of solutions for data sharing
Complex governance
- Limited knowledge on solutions
- Trapped in a lot of bureaucracy and paperwork, causing dependencies and “legacy-by-design”
- You will be confronted with a lot of bureaucracy and paperwork, causing dependencies and “legacy-by-design”
Getting access to data takes ages
- Without (timely access to) data, data driven innovation and analytics is not possible
- You miss valuable data-opportunities and momentum due to “locked” data
- Data is critical to be smarter than the competition
Share data in a synthetic form
Our situation
Our solution
Share synthetic data as alternative for sharing real data. This allows our customers to eliminate those aforementioned data-sharing challenges. Ultimately, this creates a strong foundation for data-driven innovation, enabling agile access and free data sharing.
Two formats for data-sharing solutions in practice:
Ad hoc synthetic data
We see ad-hoc data synthetization when agility in data sharing is desirable. As alternatively to realizing data-driven innovation with real (sensitive) data, here one can realize data-driven innovation on synthetic data. This situation will boost agility by avoiding the data sharing hurdles one would normally face.
Setup a synthetic data warehouse
Many organizations have a data warehouse containing original (sensitive) data. Our suggestion would be to introduce a data warehouse with synthetic data next to the data warehouse with original data. Now, your employees (or even 3th parties) can easily access and share synthetic data from the synthetic data warehouse to realize data-driven innovation upon and will not face those data access hurdles.
Previous
Next
Value
Eliminate data sharing challenges when sharing original data
- Release faster access to data
- Share the data with different parties without privacy concerns
- Faster innovation
- Increase customer retention and acquisition
Save your synthetic data guide now!
- What is synthetic data?
- Why do organizations use it?
- Value adding synthetic data client cases
- How to start
