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Access is controlled by rich permission systems. Once these have been granted, analysis is available instantly.
Utilise demographic and behavioural data in the intersection to validate and enrich your current customer knowledge.
Build accurate segments for direct activation, suppression models, and look-alikes.
A US based retailer is launching an advertising campaign and is investigating a new relationship with a multichannel video service provider to serve the ads.
The retailer wishes to validate the quality of the data and analyse the intersection in the two customer bases to better understand the synergy in customer profiles.
Aggregate level results and differential privacy features prevent any single individual being identified within a dataset.
Federated Architecture and Insights Engine overcomes trust barriers by removing the need to share and centralise data.
AI-powered normalisation and mapping removes the need for a complex and expensive ETL projects.
Each party retains complete control over their data through decentralisation and rich permission controls.