Easy start for your Private DMP
DMPkit – a set of open-source components for your Private DMP (Data Management Platform) implementation and connection to AdTech & MarTech ecosystems.
Turn your data to user and audience profiles, Customer Journey, segments, Machine Learning driven attributes
– Single point of access to whole AdTech ecosystem for data on boarding
– Audience-safety id syncing
– Data monetization and enrichment
– Segmentation and analysis of audience
– Centralized segments distribution
– Collecting web tracking data, tracking you own digital channels
– Integration with offline data sources, CRM and transactional systems
– Manage organization’s user accounts, security roles and credentials
– Collection of web data, analysis of sites and content
The heart of the DMP is the BigData allegeable storage that can easily hold and process terabytes up to petabytes of data, have proper tools manage it and can be easily scaled. We use enterprise-level Hadoop distributives to build BigData Storage on. The DMP can be started from a tiny cluster with a few nodes and can be scaled up and wide to a huge clusters with hundreds of nodes.
Collecting and storing a huge amount of data is not only thing all want to achieve. You’ll need a set of tools to look at the data, play with it, create models, analyze it and so on. We believe that the true additional value of the data and the data-to-information transformation are created through Data Mining and Analysis creative process. So, we include a set of tools that can be used by Data Scientists and Analysts to explore data and get value of it. It includes Hive, Spark that can be used directly and Data Scientist tools like notebooks achievable through Data Scientist UI.
DMP is almost always is about people-related data, collected from different sources. That data should be accumulated, matched and stored for further processing. We developed a unified profile format for such data, that supports people-related with many attributes that can be collected from different sources or calculated. This format is easily usable for calculating data insights on your audience, using it for Machine Learning algorithms and models and for audience segmentation.
• Private DMP for on premise data processing and internal system integration
• Data safety, USER PRIVACY and opt-out functionalities
• AI and Machine Learning focused solution
• AdTech ecosystem integration
(20+ data providers, 50+ data consumers, 10+ audience channels
• Open data marketplace
• Self-service interfaces
• Customization and your unique features implementation