Personagraph

PersonagraphTM

Personagraph

Insightful in purpose. Private by design.

Personagraph is a customer data platform (CDP) that enables marketers to manage customer relationships across devices and platforms. With a single unified view of customers, data owners can better understand and segment their audiences, while ensuring that both businesses and consumers maintain control of their sensitive data assets.

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

Data ingestion and storage
Data qualification and enrichment
Unified consumer identity across devices and platforms
Data segmentation by audience
Detailed reporting capabilities

Policy-driven data processing, linking, and sharing
Data security – PII is protected by encryption
Rich support for system auditing – user access audits, transaction audits, & data audits
Consumer consent management – fully trackable and auditable – supporting data protection and privacy regimes
ID attribution

Use Cases

Data Processing

Data analytics
Audience segmentation for targeted campaigning
Cross device linking and identity creation
Combining offline (CRM) and online data

Data Sharing

Cross-division data aggregation
Partner data onboarding
Data marketplace development
Desensitization of identifiers for monetization purposes (ad-tech)
Cross-competitive data collaboration

Target Industries

Retail

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.

Connecting CRM data, like transaction histories, to online data, like web visits, interaction with previous marketing campaigns and app downloads, store visits, and many other attributes.
Visualization features that allow you to view and interact with customer attributes as well as segment audiences by predetermined categories.
Ways for a marketer to serve their customer targeted ads, reallocate budget based a customer journey, or port in their own analytics model.
A policy driven cooperative model. Custom taxonomies and policies can be created that address how data is stored, organized and shared.
Granular data rights applied to groups that sit within sub-organizations, determining what data they can both see and work with.

Personagraph supports:

Platform development deployed in your cloud with the capacity to handle and process billions of device signals and millions of offline attributes.
Creation of identity graphs and audience segmentation.
The platform handles any PII data in accordance with relevant policies.
It allows biddable anonymized IDs to be populated within our proprietary ad exchange or through your preferred partner.
Partner interaction with data is governed, giving them the ability to reach their intended audience without exposing or proliferating data in the open market.

Telecom

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

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.

The deployment of a data platform in their cloud (PaaS) or as a hosted service (SaaS).
Performs audience segmentation of TV audiences based on viewer behavior, viewer history, content metadata as well as subscriber data, location, and IP.
The development of detailed analysis by providing a flexible framework for operators to run their own analysis in their cloud.
It ensures that PII is not be shared with third parties without owners permission and will only be shared under policy driven by various regulations governing sharing and further usage.

Personagraph supports:

Collecting the various data types generated by home IoT devices and providing in-depth view into how users consume electricity, listen to music, and even order their groceries.
Developing signals into meaningful categorizations, providing the mechanism for Home IoT companies to deliver a “next best offer” or system maintenance alerts.
Data ingestion, processing, and storage in a secure and policed environment.

Smart Home

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.

Data Company

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.

Various mechanisms for onboarding and exporting data into and out of the platform.
Centralization of data assets in your cloud or a hosted environment.
Normalization of structured and unstructured data.
The creation of device graphs, audience profiles and data marketplaces.
Framework for applied data governance, implement policies at a system level that decide which data partners have access to what data.
De-identifcation, pseudonymization and similar requirements under regulatory policies like GDPR.

Personagraph supports:

The aggregation of consumer data from various sources through various means such as SDK, API or FTP.
Centralization of data assets in your cloud or a hosted environment.
Processing of signals into device graphs and audience attributes.
Rich support for system auditing.
Policy driven processing, linking and sharing.

Smart City

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.