Statice tell us about their aspirations for Data Pitch and beyond.
Privacy and control of personal data is increasingly becoming a business concern in light of recent high profile cases and the implementation of the European General Data Protection Regulation (GDPR).
For many organisations, data protection is both a technical obstacle and a legal problem, and potentially also a disruption to their ongoing operations, such as focused marketing to providing smart city solutions. This means there are opportunities to build products and services which enable greater control over personal data for individuals while at the same time enabling new business models and markets.
German startup Statice offers an automatic data anonymisation software that enables companies to use sensitive data in a privacy-compliant manner. . We spoke to CEO and Co-Founder Sebastian Weyer about their plans for Data Pitch.
What do you hope to achieve on the Data Pitch accelerator?
We want to show how companies can perform highly complex statistical analysis on anonymous, privacy-preserving data.
What shared data will you work with and how will you use it?
We are working with data provided by a digital health company as part of the Privacy & Consent Control Challenge (creating products and services to ensure individual privacy and control). We want to show how statistical analysis and research questions can be answered with the use of anonymous synthetic data.
Why do you think it is important for startups to work with large scale data providers?
Startups can help large scale data providers develop new insightsIn return startups receive a more solid foundation to build their products on.
What’s the best thing about working with data?
Statistics! And how it can unlock undiscovered insights, solve research problems, and accelerate product development – especially in healthcare, where there is a major trend towards “precision medicine”.
If you could change one thing about the data ecosystem what would it be?
We want more data to be more accessible to encourage new data-driven innovations and collaboration.