Client cases
Synthetic data for analytics
We are in the middle of the digital revolution and data-driven solutions (e.g. dashboards [BI] and advanced analytics [AI & ML]) are about to change our entire world. However, those data-driven solutions are only as good as the data that they can utilize. This is challenging due to strict data / privacy regulations.
Hence, having a strong data foundation with easy and fast access to usable, high quality data is essential to develop data-driven solutions (e.g. dashboards [BI] and advanced analytics [AI & ML]). However, many organizations are affected by a sub-optimal data foundation where data cannot simply be used and shared.
Challenge
No data = no analytics. Many organizations have a sub-optimal data foundation where data cannot simply be used and shared
- Data is critical to be smarter than the competition
- Without (timely access to) data, data driven innovation and analytics is not possible
- You miss valuable data-opportunities due to “locked” data
Getting access to data takes ages
- Privacy regulations like the GDPR are strict and limit access to data
- You will be confronted with a lot of bureaucracy and paperwork, causing dependencies and “legacy-by-design”
- Overhead like internal processes, risk assessments, data access requests are time consuming
Anonymization does not work
- Anonymization destroys your data, making it no longer suitable for analytics (garbage in = garbage out)
- Anonymization does not result in anonymous data. Privacy risks will always be present
- Classic anonymization techniques are not scalable, because they work different per dataset and per data type
Our solution: AI generated synthetic data
Mimic (sensitive) data with AI to generate synthetic data twins
Our Syntho Engine software mimics (sensitive) data by utilizing the power of AI to generate a synthetic data twin of the original data. We apply AI to model the synthetic data in such a way that we preserve those statistical patterns, relations and characteristics to such an extent that it can even be used for analytics. As with the maximized data accuracy of the generated synthetic data by Syntho, one can use the synthetic data even for developing analytics solutions (e.g. dashboards [BI] and advanced analytics [AI & ML]).
Use synthetic data in the development process of analytics solutions
In the development process of analytics solutions, one can use synthetic data with our platform. This synthetic data can be used via ad-hod data synthetization. As alternative, as we support various out-of-the-box connectors, we can also establish and load the generated synthetic data in a synthetic data warehouse or sandbox infrastructure with synthetic data.
As-good-as-real?
How does Syntho evaluate the quality of the generated synthetic data?
Part 1
Syntho’s quality assurance report
Syntho provides a quality report for every generated synthetic dataset to demonstrate the accuracy of the generated synthetic data compared to the original data. This quality report contains many metrices, such as the distributions, correlations, multivariate distributions, privacy metrices and many more.
Part 2
External assessment by the data experts of SAS
Next to our own QA report, Syntho’s synthetic data is assessed by the data experts of SAS. The SAS data experts assessed and approved our synthetic data from an external point for the use of analytics.
Our solution: AI generated synthetic data
Build your future-proof data foundation with easy and fast access to AI generated synthetic data
Unlock (sensitive) data
- Synthetic data is exempt from privacy regulations, such as the GDPR
- Unlock personal data and have access to more data that was previously restricted (e.g. due to privacy)
As-good-as-real data
- An AI generated synthetic data twin is statistically identical in comparison to the original data
- Use AI generated synthetic data as-if it is original data
Easy, fast and scalable
- Bypass internal bureaucracy, processes, risk assessments, data access requests and similar time consuming overhead
- Scalable solution that works the same for each dataset and for each datatype
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Value
Build your strong data foundation with easy and fast access to as-good-as-real AI Generated Synthetic Data
- Be smarter than (and even beat) the competition
- Leverage new and more innovation opportunities
- Unlock data, and thereby valuable insights
- Mitigate overhead and bureaucracy
Save your synthetic data guide now!
- What is synthetic data?
- How does it work?
- Why do organizations use it?
- Value adding synthetic data client cases
- How to start
