Synthetic data use case: an agile data access infrastructure
Realize an agile data infrastructure with synthetic data to eliminate time consuming data access roadblocks that you would face with original (sensitive) data.
The old situation
Time consuming data driven innovation and a non agile data access infrastructure
Agile; this is thé typical way of working that we observe within many organizations. Here, those companies aim to move and deliver fast in a complex environment to realize innovation.
However, where those organizations are (often) master in setting up an agile way of working, they typically forget setting up an agile infrastructure. Consequently, those organizations frequently face infrastructure related dependencies in many projects that aim to realize innovation (fast).
Here, specifically for the realization of data driven innovation, data access is key. It is relatively simple: without data, no data driven innovation. However, what we typically observe in practice is a non agile setup. First, we see lacking data access infrastructure and various time consuming trajectories before data access could be granted. Second, we see a variety of legal restrictions and risk assessments. Finally, we see a lot of overhead and wasted time resulting in a non agile organization for the realization of innovation.
An agile data infrastructure with synthetic data
Our solution: work with synthetic data as alternative to using original data. This allows our customers to eliminate those aforementioned time consuming and non agile trajectories. Ultimately, this creates a strong foundation to realize data driven innovation, but then, in an agile way.
Our clients realize agile analytics in 2 formats:
Ad hoc synthetic data generation
We see ad-hoc data synthetisation when agility in data access is desirable. As alternatively to realizing data driven innovation with original (sensitive) data, here one can realize data-driven innovation with synthetic data. This situation will boost agility by avoiding the data access 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 synthetic data from the synthetic data warehouse to realize data-driven innovation upon and will not face those data access hurdles.
Why our customers use synthetic data
Synthetic data allows you to build a strong foundation to realize innovations with …
Superior data quality
Easy and fast