Operational Data Processor for IT Resource Interdependency Analysis
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Solution Overview
Problem
Current systems face challenges in processing, storing, and analyzing vast amounts of data associated with information technology operational activities, struggling to evaluate interdependencies between technology resources and activities effectively, leading to inefficiencies in data compression and storage.
Innovation Solution
A computerized system that performs operational data processing, technical language processing, and categorical data encoding to identify relationships between IT activities, correct data defects, and reduce storage requirements through dynamic data decoding, enabling efficient evaluation and modification of technology change incidents.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If existing systems process and store massive amounts of IT operational data, then data storage capacity increases, but memory requirements and processing time increase significantly
Solution Approach 1:
The patent applies parameter changes by transforming operational data from its original descriptive format into categorical encoded format. This transformation changes the state of the data parameters, enabling compact representation. The system identifies categorical attributes in the operational data and encodes them using optimized data structures, thereby reducing memory requirements while preserving the ability to retrieve and analyze the original information when needed.
2Loss of information
If existing systems store detailed IT operational records, then data completeness improves, but retrieval and analysis time increases
Solution Approach 1:
The patent applies segmentation by dividing operational data into distinct categorical components or attributes. Each categorical attribute is encoded separately using optimized data structures. This segmentation allows the system to store comprehensive operational information in a fragmented, organized manner that enables selective retrieval and analysis of specific categories without processing the entire dataset, thereby reducing retrieval time while maintaining data completeness.
3Measurement precision
If existing systems analyze interdependencies of IT activities, then evaluation accuracy improves, but processing complexity increases
Solution Approach 1:
The patent introduces an intermediary encoding layer that sits between the raw operational data and the analysis processes. This intermediary categorical encoded representation simplifies the data structure while preserving the relationships and interdependencies between IT activities. By using standardized categorical encodings, the system reduces processing complexity in analyzing interdependencies, as the encoded format facilitates more efficient pattern recognition and relationship analysis compared to processing raw descriptive data directly.
Data Source
AI summary
Embodiments of the present invention relate to apparatuses, systems, methods and computer program products for a technology configuration system. Specifically, the system typically provides operational data processing of a plurality of records associated with information technology operational activities, for dynamic transformation of data and evaluation of interdependencies of technology resources. In other aspects, the system typically provides technical language processing of the plurality of records for transforming technical and descriptive data, and constructing categorical activity records. The system may be configured to achieve significant reduction in memory storage and processing requirements by performing categorical data encoding of the plurality of records. The system may employ a dynamic categorical data decoding process, which delivers a reduction in processing time when the encoded records are decoded for evaluating the exposure of technology change events to technology incidents and modifying such technology change events.