See InfoSum in action!
Fill out the form and a member of the InfoSum team will get in touch to arrange a demo of the world’s first Unified Data Platform.
Fill out the form and a member of the InfoSum team will get in touch to arrange a demo of the world’s first Unified Data Platform.
Unify insights across all your internal data sources and channels to create a unified understanding of your customers.
The only privacy-safe and compliant way to connect first-party data sources to create a single source of customer knowledge.
Put data at the core of all marketing decisions with insights and audiences developed from a trusted and unified customer view.
Connect insights from multiple channels and devices to build an omnichannel view of your customer profile and behaviour.
A multinational media company wishes to conduct analysis across their various online publications’ CRM systems to determine where there is a crossover in audiences and where there may be a potential for cross-promotion. There are a number of challenges preventing this initiative from moving forward:
Each publication uploads its data to their own isolated Bunker. The data is normalised and mapped to the global schema.
Each Bunker owner grants permission to a nominated user at the media company. An automated process matches identities using existing identifiers, removing the need for a universal ID (where a match can not be made, a third-party identity graph may be used to create a match, but doesn’t require data to be transferred to the identity graph owner).
This user is now able to conduct statistical analysis across the totality of all CRM databases - a true unified customer view - and determine where there is an intersection between audiences, where there may be opportunities for look-alike targeting and other revenue generation.
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.
