Cloud Analytics Platform for Resource Visibility and Cost Control
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Solution Overview
Problem
Organizations face challenges in optimizing operational efficiency and reducing costs due to a lack of comprehensive insights into their application and infrastructure usage, leading to unused licenses and inefficient resource allocation.
Innovation Solution
A cloud-based system that collects and processes data from applications, infrastructure, and employee bases to provide actionable insights, including usage analytics and productivity metrics, enabling organizations to identify savings opportunities and optimize resource allocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If organizations move applications and infrastructure to cloud environments, then operational flexibility and scalability are improved, but visibility and control over resource usage deteriorate
Solution Approach 1:
The patent introduces a cloud-based analytics system as an intermediary that collects, processes, and analyzes usage data from multiple cloud applications and infrastructure components. This mediator aggregates dispersed information from various sources (SaaS applications, IaaS infrastructure, employee data) and transforms it into actionable insights, restoring visibility and control while maintaining cloud-based operational flexibility.
2Adaptability or versatility
If organizations expand cloud infrastructure and application portfolio, then service capabilities are improved, but cost control and resource optimization deteriorate
Solution Approach 1:
The system implements continuous feedback loops by monitoring usage data in real-time, analyzing spending patterns, and providing actionable insights about resource utilization. This feedback mechanism enables organizations to adjust their cloud resource allocation and application portfolio based on actual usage patterns, maintaining service capabilities while improving cost control through data-driven decisions.
Solution Approach 2:
The patent analyzes multiple parameters including usage metrics, spending data, employee information, and application performance to identify optimization opportunities. By changing operational parameters based on analytical insights (such as adjusting license allocations, consolidating underutilized resources, or reconfiguring infrastructure), organizations can maintain service capabilities while reducing unnecessary costs.
3Measurement precision
If organizations collect comprehensive data from multiple sources, then insight quality is improved, but system complexity and data processing requirements worsen
Solution Approach 1:
The patent creates a universal cloud-based analytics platform that handles multiple data types (usage data, spending data, employee data, application metadata) through a single integrated system. This multi-functional platform performs diverse analytical tasks including usage pattern recognition, cost analysis, productivity measurement, and optimization recommendation, reducing the need for separate specialized systems while maintaining high insight quality.
Data Source
AI summary
Systems and methods for collecting and displaying business insights in a cloud-based system. Steps include obtaining data from a cloud-based system associated with any of applications, infrastructure, and employees of an organization, wherein the cloud-based system includes a plurality of organizations with the applications, infrastructure, and employees each assigned thereto; processing the data associated with the organization to determine a plurality of insights; and displaying the plurality of insights on a per-organization basis based on the processing.