Personagraph turns raw data
into actionable insights while ensuring the privacy of consumers
Security, integrity, and governance are intrinsic features of Personagraph, allowing customers to share data while respecting applicable regulations.
Features and Functions
Use Cases
Data Processing
Data Sharing
Retailers come in all shapes and sizes. With the expansion of e-commerce as a prolific and disruptive force, it is now more important than ever for Retailers to engage with their customers in meaningful ways across multiple platforms. This requires a solution that manages first-party CRM data in conjunction with the various signals collected from actions such as web visits, app downloads/usage, and store engagement. It can also require a comprehensive data strategy, wherein brands sitting within a companywide umbrella need to pool their data resources. Doing this comes with its own set of problems–data policies and attitudes around sharing data vary from brand to brand.
Telecom companies possess data that is as rich as Google’s and Facebook’s. They are also trusted utilities to the end consumer. They provide the core infrastructure on which most Internet content companies run their businesses, meaning that they are also burdened by the associated costs. They must deploy a cloud data management platform that ensures their vast collection of sensitive data is secured, and that this infrastructure can scale up or down seamlessly depending on their need. They need to connect their various data types in a way that allows the creation of monetizable audiences. They must also govern that data so that the data can become actionable without putting the company in jeopardy.
Media Operators are increasingly plagued by middle-men who are increasing the distance between them and the end consumer, reducing the data feedback loop that has in recent years become critical to success. They need a way to regain control of their data, and just like Netflix, use these data to do things like create the next hit show.
Utilities and service providers are being squeezed out of the Home IoT space by the Amazon’s and Google’s of the world. They need a way to regain control, secure and monetize consumer data thereby empowering them to use their data to cater to their customers more effectively and increase profitability.
21st century data companies require a platform that helps them create the greatest value from their consumer data. This means commingling and combining various signals to form meaningful insights. They don’t want to write the code to do this themselves. They want to make sure that data sharing can be constrained by a timeframe or internal framework. Lastly, they never want to share the underlying raw data, or any data for that matter, unless under a given policy.
Consumer interaction with urban environments is more sophisticated than ever. When a consumer parks, they use a municipality sponsored parking app, when they travel they use digital metrocards. Smart cities want to ensure their services are efficient and reliable but provided in the most cost-effective way. They know aggregating various consumer data points is a good first step, but struggle with buy-in from the numerous partners and departments that make up the municipal architecture.
