Analytics Engine Segmentation for CMS Resource Optimization
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Solution Overview
Problem
Existing content management systems (CMS) face challenges in efficiently managing and analyzing data related to content items, which can lead to reduced performance and barriers in user interaction when generating multi-dimensional reports and analytics.
Innovation Solution
A computer-implemented method that involves receiving data associated with the use of content items in a CMS, measuring the use of CMS resources, assigning usage metrics, and generating a database schema to optimize resource usage and facilitate efficient access to content items.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If analytics are performed by the CMS itself, then comprehensive business intelligence is achieved, but CMS performance deteriorates due to processor-intensive operations
Solution Approach 1:
The system segments the analytics function from the CMS by introducing a separate analytics engine. The CMS generates events and transmits them to the analytics engine, which performs processor-intensive analytics operations. This segmentation allows the CMS to maintain optimal performance while the analytics engine comprehensively processes business intelligence requirements.
2Productivity
If an analytics engine is separated from the CMS, then CMS performance is improved, but user interaction between CMS and analytics becomes barriered
Solution Approach 1:
The system merges the CMS and analytics engine into a unified user interface environment. Both the CMS interface and analytics reports are accessible through the same client device and interface paradigm, allowing users to interact with both systems seamlessly without switching applications or learning different interaction models.
Solution Approach 2:
The system introduces an event data warehouse and standardized event protocols as intermediaries between the CMS and analytics engine. Events generated by the CMS are transmitted through this intermediary layer to the analytics engine, enabling smooth data flow and interaction while maintaining system separation.
3Loss of information
If multi-dimensional reports are generated, then comprehensive analytics are achieved, but resource consumption increases
Solution Approach 1:
The system performs preliminary action by pre-processing and storing event data in an event data warehouse in the same time zone as the CMS. Events are normalized and organized beforehand, allowing the analytics engine to efficiently generate multi-dimensional reports without performing intensive real-time processing, thus reducing overall processor resource consumption.
Data Source
AI summary
An analytics engine is described that can receive data associated with use of a content item in a content management system and measure a use of content management system resources required to maintain the content item. Values of a usage metric can be assigned to the content item based on the received data associated with the use of the content item. A database schema can be generated by the analytics engine that is configured to reduce the use of content management system resources required to maintain the content item. The database schema can be provided to the content management system for implementation in a database associated with the content management system.