Remove the data preparation bottleneck holding you back from delivering on today’s AI and advanced analytics use cases.
While most organizations rely on existing data sources and third-party tools to prepare their data pipeline, AI leaders have developed end-to-end data platforms and data schemas in house, enabling them to break through traditional data constraints and execute upon advanced AI opportunities as they arise.
With Snowplow’s Behavioral Data Platform, any organization can create and capitalize on AI-Ready and behavioral data securely and at scale to power innovative use cases – regardless of size, scale and data science expertise.
Define and enrich your event definitions with unlimited custom entities.
Bespoke data from any source, across any context, from web, to servers, webhooks, wearables, IoT and more.
Unified, validated and enriched against first and third-party data.
Iglu schema technology enables you to maintain a schema versioning to support data evolution.
Deliver data to the data warehouse or lake of your choice, and generate data models as needed using SDKs in a host of languages.
Monitor the delivery of your models in real-time, with SLAs.
Ensures security end to end.
Direct to each customer’s cloud offering secure end-to-end management & control.
IP obfuscation and storage of basis for consent.
All the benefits of a CDP with extra ownership, quality and scalability
Behavioral data is the biggest missed opportunity in AI.
Fully integrate product analytics, marketing attribution, firmographic and demographic segmentation
Strava lets you track your running and riding with GPS, join challenges, share photos from your activities, and follow friends.
Their data team built an AI platform to empower dozens of teams to self-serve by generating propensity scores and training advanced ML models. Socializing data from AI has given them a massive competitive advantage.
We would not have achieved our current level of self-serve data without Snowplow. It has enabled us to democratize our data culture, significantly improving our analytics coverage and deepening our insights.Daniel Huang, Data Engineer at Strava
Gousto makes it joyfully simple to enjoy home-cooked dinners by delivering precise ingredients and easy-to-follow recipes.
Their data team built personalized menus with AI.
With Snowplow’s behavioral data they were able to power deep learning models that minimized churn and significantly improved customer retention.
Without Snowplow data, a data-driven approach to systematically improving retention would not be possible.Dejan Petelin, Head of Data at Gousto