Integrated Predictive Analysis System for Reporting Tools
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Solution Overview
Problem
Conventional reporting tools are insufficiently integrated with predictive analysis tools, requiring cumbersome user-initiated steps to extract, convert, and import data for forecasting, and vice versa, which hampers efficiency and flexibility in data analysis.
Innovation Solution
An integrated system architecture that includes a data store, database management system, and server, enabling efficient data retrieval and visualization, with a semantic layer for user-friendly query execution and seamless integration of predictive analysis tools, allowing users to initiate predictive analyses directly from visualizations and incorporate forecast data back into the original data source.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional reporting tools are used separately from predictive analysis tools, then data extraction and conversion steps are required, but this increases operational complexity and time consumption
Solution Approach 1:
The patent combines reporting tools and predictive analysis tools into a single integrated system. The reporting module and predictive analysis module share common data access interfaces and workspaces, eliminating the need for separate data extraction and conversion steps. Users can perform both reporting and predictive analysis within the same environment, directly accessing backend data sources through unified query mechanisms.
2Adaptability or versatility
If data is extracted and converted between reporting and predictive analysis tools, then forecasting capability is available, but the process becomes cumbersome and less flexible
Solution Approach 1:
The integrated system provides universal data access capabilities where both reporting and predictive analysis modules can directly access backend data sources using common interfaces. The system supports multiple analysis types (reporting, forecasting, what-if analysis) within a single platform, eliminating the need for specialized data conversion processes for different analysis types.
Solution Approach 2:
The patent introduces a semantic layer and unified query interface as intermediaries between users and backend data sources. This intermediary layer handles data retrieval and preparation automatically, providing a standardized format that both reporting and predictive analysis modules can consume without requiring manual conversion steps.
3Productivity
If forecast data is generated separately and then imported back into original data, then predictive insights are obtained, but integration efficiency is reduced
Solution Approach 1:
The integrated system enables continuous workflow where reporting and predictive analysis operations can be performed sequentially without interrupting the data flow. Forecast data generated by the predictive analysis module is automatically available in the same workspace for immediate use in subsequent reporting operations, eliminating idle time between analysis stages.
Data Source
AI summary
A system includes determination of a query context comprising a measure and one or more dimension values of a data source, generation of a query of the data source for the measure over time and aggregated over the one or more dimension values, reception of a result set of the query, providing of the result set to a predictive analysis engine, and reception of forecast data based on the result set, the forecast data comprising forecast values of the measure over time, aggregated over the one or more dimension values.