Whatever you build, in this privacy age you need to take care of data privacy.
Building from privacy-by-design principles is hard, and teams are often slowed down by the additional coordination imposed by legal and security constraints. If you're allowed to build it in the first place.
With STRM, you can reduce coordination, unlock new use cases and build confidently. So you deliver more and faster, without spending time and resources on a conditional like privacy.
Build more and faster with privacy covered
Enable more use cases
Reduce coordination and increase velocity.
More and better data
Define the data you need in data schemas, without constraints from an analytics "solution" or selling people's data.
Encode the privacy implications of your data on a per-field level, just make sure Legal approves.
Send your data in real-time at event level, schedule batch intervals or even re-process existing data.
Add privacy and build more
Privacy-by-design data pipelines enable many product dreams: better experimentation, decreased dependence on third-party data, higher velocity or even real-time machine learning and personalization.
Experiment on more and better data. Freely define data needs, measure both front- and back-ends.
Deeply measure user behavior with event-level data, privacy included.
Move away from nosey analytics tools and enable more and deeper data.
Build and experiment with new data science applications, or safely feed existing applications.
Run a privacy-safe event pipeline in real-time and enable predictions as user actions happen.
Enable personalization on anonymous data and offer more users a personalized experience.
Our tools to build confidently with data
Add privacy right where you collect your data and make sure you don't lose time and tears on legal coordination and building for a conditional.
Attach legal grounds
Event or batch
Sinks and connectors