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.
Our situation
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 to realize data-driven innovation, but then, in an agile way. where data can be accessed and shared freely.
Two formats for data-sharing solutions in practice:
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.
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.
Explore how to eliminate data sharing challenges that you will face when sharing original data