Time Metric Database Visualization Platform
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Solution Overview
Problem
The analysis of time series datasets is cumbersome due to the lack of integrated tools for managing and visualizing large volumes of timestamped data, leading to inefficiencies in extracting actionable information from these datasets.
Innovation Solution
The development of systems and methods that integrate multiple processes into a single platform for generating reports and charts from time series datasets, utilizing a dynamic user interface to select data sources, apply mathematical operations, and configure visualizations, enabling automated and streamlined production of reports.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple separate tools are used for managing and analyzing time series datasets, then comprehensive analysis capability is achieved, but system complexity and operational difficulty increase
Solution Approach 1:
The patent combines multiple separate tools for data management, analysis, and visualization into a single integrated platform. The system unifies database connectivity, time series data processing, mathematical operations, and chart generation capabilities into one cohesive application, eliminating the need to switch between multiple external tools while maintaining comprehensive analytical functionality.
Solution Approach 2:
The application is designed as a universal platform that performs multiple functions: connecting to various database types, retrieving and managing time series datasets, applying mathematical transformations, and generating visualizations. This multi-functional design allows a single tool to replace several specialized tools while adapting to different data sources and analysis needs.
2Ease of operation
If manual analysis processes are used for time series datasets, then flexibility in customization is maintained, but time consumption and productivity decrease
Solution Approach 1:
The system performs preliminary actions by automatically retrieving data from databases, pre-processing time series datasets, and preparing analysis results before the user needs them. The application proactively manages data retrieval and transformation processes, reducing manual intervention time while maintaining customization options through the graphical interface.
3Loss of information
If comprehensive data retrieval and analysis operations are performed, then information completeness is improved, but processing time and resource consumption increase
Solution Approach 1:
The patent segments the data analysis process into distinct modular operations: data retrieval from databases, time series data processing, mathematical transformations, and visualization generation. This segmentation allows the system to process different aspects of data independently and efficiently, retrieving only necessary information for each analysis step rather than processing all data uniformly, thus reducing overall processing time while maintaining completeness.
Data Source
AI summary
Disclosed herein are applications and platforms for streamlined production of charts and reports from databases containing time series datasets and/or timestamped data. The applications described herein may employ dynamically retrieve data from data centers to quickly provide options to the user. The platform further allows configuration of the charts and/or reports by providing lists of metrics that may be available in the selected data, and lists of transforms that may be applied to the data. The application may employ dynamic user interfaces, which provide processing of the received time series datasets in a data agnostic manner. As a result, the systems and methods described herein may allow generating charts and reports using a streamlined workflow.