Compliant and complete clickstream data for data scientists
Stop building on sand: Data science projects often rely on measuring user behavior. However, legal and technical limitations erode that data. Our privacy-first approach captures as much data as legally and technically possible, supplemented by synthetic data points, to provide you with a rock-solid foundation for your projects.
Avoid this problem: Failed data initiatives and the risk of fines
If you work with incomplete data, your data initiatives will most likely underperform or fail altogether. Unfortunately, data scientists often have to work with data they don’t have a lot of control over. This often leads to a lot of unproductive work to fix the data to the extent that that’s possible.
If you work with non-compliant data, your company could be fined and lose money on data initiatives that haven’t even paid off yet. Additionally, getting caught using data illegally can lead to significant reputational damages and may require you to delete any work derived from non-compliant data.
Our approach: Analytics data that is both compliant and complete
Contrary to popular belief, lawful data doesn’t mean less data. It can still be complete, but it requires a much more sophisticated approach:
We call it the Data Cape because of its ability to resist data erosion and data loss, similar to how a geological cape is able to resist land erosion.
Likewise, a data cape provides a solid foundation that can withstand even the worst storm, or in other words: Your data initiatives won’t come crashing down like a house of cards.
The outcome: No more data worries, you can focus on data science
Data science projects are full-time jobs, often even more than that, and they require your undivided attention. Therefore, we want to ensure that you have all the necessary data by offering you not only our compliance platform, but also corresponding implementation services.
We know the many problems data can cause and try to eliminate all of them for you. Because we take care of the entire process, you don’t have to worry about anything that happens upstream before you receive the data.