Our solution: The high-quality data foundation for all your data use cases, fully managed end-to-end

Low-quality data jeopardizes your entire work. We take care of the hardest part for you, collecting high-quality data from digital and non-digital touchpoints in the user journey. You can easily use that data for multiple data use cases at once.

You provide your data requirements – we take care of the rest

Our platform lets you select from pre-defined use cases, but you can also add specific data requirements. We then use our technology to collect the data for you and make it accessible through our data streaming platform. You can transform the data and specify where to send it.

Solving the “garbage in, garbage out” problem: We can stream quality data into almost any MarTech or data stack

Supported data destinations include databases like BigQuery, Redshift, and Snowflake, analytics solutions like Google, Adobe, and Snowplow Analytics, and ad platforms like Google, Facebook/Instagram, and Tiktok Ads.

Our platform lets you adjust our high-quality data to all your needs

In order to deliver high-quality analytics data, we use our platform to streamline the entire process end-to-end. There we keep track of all your data requirements, the data that is being collected, data modeling, data transformations, and data integrations.

Extracting high-quality data at the source: Measuring digital and non-digital user journey touch points

Supported data destinations include databases like Postgres, BigQuery, Redshift, and Snowflake, analytics solutions like Google, Adobe, and Snowplow Analytics, and ad platforms like Google, Facebook, Instagram, and Tiktok Ads.

Highly specialized on the data creation part, works with most custom or existing solutions

  • Almost any custom data pipeline
  • Google Analytics 4 (GA4) and Universal Analytics
  • Adobe Analytics
  • Snowplow Analytics

Make sure you are compliant with state, federal and international privacy laws through consent-aware data creation

  • Coming from Europe, we have many years of experience dealing with privacy regulations
  • Stricter privacy laws in some US states
  • Established data modeling solutions for many use cases: Pseudonymization, anonymization, cohorts, etc.

Data models optimized for data science, machine learning, and AI, but also suitable for less demanding data use cases

  • Data models optimized for data science use cases
  • Enforced schemas and data contracts
  • Constantly adjusted to evolving environments
  • Best practice event and data points based on a decade of experience

Based on a decade of experience: High-quality analytics data

  • Highly standardized and automated implementation, including testing and monitoring
  • Data models optimized for data science use cases
  • Constantly adjusted to evolving environments
  • Legal compliance, e.g. CCPA and GDPR