Unstructured Data Structuring for Operations Management
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Solution Overview
Problem
Business entities face inefficiencies in processing unstructured computer-mediated communication data, such as social media data, due to its inability to be seamlessly processed by operations management engines, leading to inconsistencies and manual analysis requirements.
Innovation Solution
A system and method that transforms unstructured data into structured data by parsing keywords, identifying tasks, and generating workflows, allowing the data to be processed by various operations management engines and communicated across different channels and listeners in agnostic formats.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If unstructured computer-mediated communication data is collected from multiple channels, then data coverage and comprehensiveness are improved, but data processing capability and system compatibility deteriorate
Solution Approach 1:
The patent introduces a data translation layer that acts as an intermediary between unstructured communication data and operations management systems. This layer translates diverse unstructured data formats from multiple communication channels into a standardized structured format, enabling compatibility with various operations management engines without requiring changes to the original data sources or processing systems.
Solution Approach 2:
The system transforms data from unstructured to structured format by changing key parameters such as data organization, formatting, and schema definition. This parameter transformation enables the same data to be processed by different operations management engines with different requirements, thereby improving adaptability while maintaining comprehensive data coverage.
2Measurement precision
If manual analysis of unstructured data is performed, then data relevance can be determined, but processing time and consistency deteriorate
Solution Approach 1:
The patent replaces manual mechanical analysis with automated computational processing. The system uses algorithms and translation engines to automatically parse, interpret, and structure unstructured data, eliminating the need for human intervention while maintaining accurate relevance determination and improving processing speed and consistency.
Solution Approach 2:
The data translation and structuring process is performed autonomously by the system itself without requiring human analysts. The automated translation engine independently processes unstructured data, determines relevance, and generates structured outputs, enabling the system to serve itself and eliminate time-consuming manual operations.
3Adaptability or versatility
If multiple disparate operations management engines are used, then functional capability is improved, but data compatibility and integration deteriorate
Solution Approach 1:
The patent creates a universal data translation layer that serves multiple operations management engines simultaneously. This single layer handles data translation for various engine types, providing multi-functionality and eliminating the need for separate integration solutions for each engine. The system maintains functional capability across diverse engines while simplifying integration through a common standardized interface.
Data Source
AI summary
A system, method and the like for structuring computer-mediated communication data, such as social media data, determining a relevant operations management case/event type(s) based at least on the structured data and generating an applicable case type-specific workflow for the case implementing the structured data. Unstructured data is received, from various different computer-mediated communication channels and/or related listeners, and transformed into structured data. Additionally, data originating at various different computer-mediated communication channels is translated into a format that is operations management tool-agnostic and vice versa. Moreover, in response to structuring the computer-mediated communication data, one or more case/event types are determined that are applicable to the computer-mediated communication data and one or more case-type specific workflows are generated implementing the structured data.