View the full Rumble Px platform and dig deeper in the Resources and Dev Center pages of the website
The full loop of personalization and optimization: collecting and centralizing enterprise-grade data around a single user, auto-creating segmentation, deriving and predicting insights, and processing it through your own self-designed logic.
Harvested data from multiple data streams is combined and processed and stored in an intricate system of data bases so it can be optimally accessed for both real-time presentation layer and other Personalization BI components
Data Centralization Around Persona
The platform uses real-time and offline data-base and triangulation methods to create user personas and centralize raw and enriched data and around them. The centralization process results in a data base of personas and their specific and individual attributes which are then used in the Classification process (please refer to the Dev Center for more info).
Optimization engine uses derivative and predictive methods on the harvested and stored real-time and offline data to auto-generate and manage pre-integrated micro-segments. Micro-segments are used in tandem with the personas in a Classification process by which the actual personalization capability comes to life.
Input Predictive Scheme
The outcome of the Classification process is pushed through the domain-specific business logic in order to output a personalized recommendation purposed to generate business uplift. Rumble offers domain-specific algorithms but we encourage you to create your own prediction algorithm using Microsoft Azure ML studio; utilize your knowledge and experience in your domain to maximize uplift.
The bottom line of the Rumble Personalization BI platform is to generate the personalized recommendation output which can be used in numerous variations to generate business uplift. The recommendation output is pushed via the Rumble SDK and served to the end user through the business tool of choice, a Rumble’s pre-integrated or your own.
With the personalized recommendation output you are free to serve your end-users with personalized content, experience, interface and more, purposed at increasing business uplift. View the Rumble offering of various autonomous Business Tools with which you may get started fairly quickly to gain business uplift.
Machine Learning Optimization
Serving the end-user with the personalized experience is not the end of the optimization process: the Rumble SDK keeps updating the platform with actual real-time results of the recommendation output. The engine processes these results and optimizes the recommendation even further in a closed loop that’s ongoing so far as the optimization campaign is running.