Unified Management Interface for Past, Current, and Forecast Data
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Solution Overview
Problem
Current systems separate the handling of past, current, and forecast data for system or network management, making it difficult for operators to ensure service level agreements are met and identify potential issues, as these data types are managed through different applications.
Innovation Solution
An apparatus and method that integrates a processing engine for storing and processing current data, a forecaster engine for generating and storing forecast data, and a user interface module to provide a unified output of past, current, and forecast data, allowing seamless access and interaction across all data types.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If separate applications are used to handle past data, current data, and forecast data, then each data type can be processed with specialized tools, but it becomes difficult for operators to access and analyze all data types together through a single interface
Solution Approach 1:
The patent combines multiple separate applications (data warehouse for past data, dashboard application for current data, and forecasting application for forecast data) into a single integrated system. The unified user interface allows operators to access and analyze all three data types simultaneously, eliminating the need to switch between different applications while maintaining the specialized processing capabilities of each component.
Solution Approach 2:
The user interface is designed as a universal interface that can handle multiple data types (past, current, and forecast data) through a single application. This multi-functional interface provides consistent access methods for different data types, allowing operators to perform analysis and monitoring tasks without needing separate specialized applications for each data type.
2Productivity
If separate applications are used for monitoring current data, processing past data, and generating forecasts, then each function can be optimized independently, but the system complexity increases and operators must manage multiple applications
Solution Approach 1:
The patent merges three separate applications into one integrated system. The processing engine consolidates the ETL process, real-time monitoring, and forecasting algorithms into a unified architecture, reducing the number of separate applications from three to one while maintaining the specialized processing capabilities needed for each data type.
Solution Approach 2:
While merging the applications, the patent maintains internal segmentation of processing functions. The processing engine handles different data types through distinct processing paths (ETL for past data, real-time monitoring for current data, and forecasting algorithms for future data), allowing independent optimization of each function while presenting a unified interface to users.
3Measurement precision
If different applications handle past data, current data, and forecast data separately, then each application can use specialized processing methods, but operators face difficulty in ensuring service level agreements are met and identifying potential issues
Solution Approach 1:
The patent combines access to past data, current data, and forecast data into a single user interface, allowing operators to view all data types together. This unified view enables comprehensive analysis for service level agreement compliance and easier identification of potential issues by comparing historical trends, current status, and future projections simultaneously.
Solution Approach 2:
The integrated system provides comprehensive feedback to operators by presenting past performance data, current status, and forecasted trends together. This allows operators to monitor service level agreement compliance more effectively and identify potential issues early by analyzing the relationship between historical patterns, current conditions, and future projections within a single interface.
Data Source
AI summary
An apparatus for processing management information, comprising; a processing engine operable to receive current data and store the current data in a data store, a forecaster engine operable to read past data and current data from the data store and generate forecast data, and store the forecast data in a forecast data store, and a user interface module operable to read the past data, current data and forecast data and generate a common output in accordance with the past data, current and forecast data.