Real-Time CDP
Partner
Real-Time Activation
Real-time insight, supported by machine learning, determines the proper response to customers’ non-linear buying journey. A typical user journey includes the customer using multiple devices to browse for products. When adding in the different types of touchpoints that the same customer can interact with the brand, it becomes difficult to compute and determine the right messaging that will be relevant to them.
By tying all data, including behavioral, transactional, financial, operational, and beyond, together into complete, accessible, unified profiles, you can deliver personalization in real-time at scale.
Data Science Workspace
The Data Science Workspace within AEP enables machine learning to be more readily available by solving for all of the barriers faced by data scientists such as:
- Disparate and non-standardized data;
- Complex model development environment;
- Manual deployment of the intelligent services, and;
- Feedback latency.
This one-stop data access for Data Scientists allows you to perform data inventory, build, and deploy mode for real-time insights.
Journey Orchestration
Built on top of AEP, Journey Orchestration is a standalone engine that enables marketers to design event-based interactions that respond to the users so that the journey feels like one seamless experience. You also have the ability to automate interactions based on real-time user actions across your digital channels.
Query Service
AEP Query Service allows you to pull all stored customer datasets into one place. In combination with a data visualization solution, this enables you to run fast, petabyte-scale SQL queries to visually see and understand the story behind customer behavior.
Secure Profile Management
Handling personal data associated with delivering successful customer experiences means having to understand and respect customers’ privacy. AEP privacy service enables you to receive the privacy capabilities needed to use this personal customer data while meeting guidelines for the privacy of each customer. These guidelines include addressing individual data access and keeping you up to date with future regulations.
Real-Time Activation
Real-time insight, supported by machine learning, determines the proper response to customers’ non-linear buying journey. A typical user journey includes the customer using multiple devices to browse for products. When adding in the different types of touchpoints that the same customer can interact with the brand, it becomes difficult to compute and determine the right messaging that will be relevant to them.
By tying all data, including behavioral, transactional, financial, operational, and beyond, together into complete, accessible, unified profiles, you can deliver personalization in real-time at scale.
Data Science Workspace
The Data Science Workspace within AEP enables machine learning to be more readily available by solving for all of the barriers faced by data scientists such as:
- Disparate and non-standardized data;
- Complex model development environment;
- Manual deployment of the intelligent services, and;
- Feedback latency.
This one-stop data access for Data Scientists allows you to perform data inventory, build, and deploy mode for real-time insights.
Journey Orchestration
Built on top of AEP, Journey Orchestration is a standalone engine that enables marketers to design event-based interactions that respond to the users so that the journey feels like one seamless experience. You also have the ability to automate interactions based on real-time user actions across your digital channels.
Query Service
AEP Query Service allows you to pull all stored customer datasets into one place. In combination with a data visualization solution, this enables you to run fast, petabyte-scale SQL queries to visually see and understand the story behind customer behavior.
Secure Profile Management
Handling personal data associated with delivering successful customer experiences means having to understand and respect customers’ privacy. AEP privacy service enables you to receive the privacy capabilities needed to use this personal customer data while meeting guidelines for the privacy of each customer. These guidelines include addressing individual data access and keeping you up to date with future regulations.
