Business Event Analytics via Standardized Data Structure

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Solution Overview

Problem

Existing methods for capturing and analyzing business process information are inefficient due to periodic data capture, requirement for extensive formatting, and storage in disparate formats, hindering rapid analysis and utilization.

Innovation Solution

A computer-implemented method and system for capturing business event information and translating it into a standardized, common data structure, enabling efficient storage and analysis by generating unique identifiers and formatting data into final event records.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If business information is captured using traditional system logs, then the information can be collected and recorded, but the analysis is slow and inefficient due to periodic capture and extensive formatting requirements

Engineering Contradiction:

Improveanalysis speedVSAvoidtime for formatting and analysis

Core Design Contradiction:

ProductivityVSLoss of time

Solution Approach 1:

The system performs preliminary actions by capturing business event information at the moment it occurs rather than periodically, and by pre-translating the captured information into a standardized common data structure. This eliminates the need for subsequent extensive formatting operations, enabling real-time analysis while reducing time loss associated with periodic capture and post-processing.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent replaces the mechanical process of periodic log collection and manual formatting with an automated event-driven system that continuously captures and translates business event information into standardized records. This substitution eliminates the time-consuming mechanical operations of periodic sampling and formatting, significantly improving analysis speed.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Adaptability or versatility

If business information is captured in disparate formats from different business processes, then the system can handle various process types, but the information cannot be efficiently analyzed due to independent distinct formats

Engineering Contradiction:

Improveability to capture different business process typesVSAvoidanalysis efficiency

Core Design Contradiction:

Adaptability or versatilityVSProductivity

Solution Approach 1:

The system achieves universality by implementing a common data structure that can accommodate business event information from multiple different business processes. The standardized format serves as a universal container that preserves the specific characteristics of different process types while enabling unified, efficient analysis across all processes, thus resolving the contradiction between adaptability and analysis efficiency.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Solution Approach 2:

The common data structure acts as an intermediary layer between the diverse source formats of different business processes and the analysis layer. It translates and standardizes the disparate formats into a unified representation, enabling efficient analysis while maintaining the adaptability to capture various process types through the translation mechanism.

Inventive Principle:

Principle #24Intermediary (Mediator)

3Device complexity

If business information is captured periodically rather than continuously, then the system is simpler to implement, but the analysis becomes slow and inefficient

Engineering Contradiction:

Improvecapture system complexityVSAvoidanalysis speed

Core Design Contradiction:

Device complexityVSProductivity

Solution Approach 1:

The system implements continuous capture of business event information at the moment it occurs, eliminating the interruptions and delays inherent in periodic sampling. This continuous action maintains system simplicity while dramatically improving analysis speed, as the data is already captured and standardized when needed for analysis rather than requiring retrospective collection and formatting.

Inventive Principle:

Principle #20Continuity of useful action

Data Source

PatentUS20250124517A1Systems and methods for business event driven analytics

Publication Date: 2025.04.17 STATE FARM MUTAL AUTOMOBILE INSURANCE COMPANY

AI summary

A computer-implemented method obtains information related to a business process. The computer-implemented method may include (1) capturing business event information for a business event that occurs during the business process; (2) generating a unique identifier configured to identify the business event; (3) translating the business event information into a final event record including the unique identifier, the final event record being configured according to a common data structure; and (4) storing the final event record in a database for analysis. As such, the computer-implemented method permits business information to be captured from disparate business processes and to be stored in a common format to facilitate efficient and productive analysis.