IT Operational Data Encoding for Storage and Processing Efficiency
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Solution Overview
Problem
Existing systems face challenges in processing, storing, and analyzing massive data associated with information technology operational activities, and are inadequate in evaluating interdependencies between technology resources and activities, leading to inefficiencies in data storage and retrieval.
Innovation Solution
A computerized system that performs operational data processing, technical language processing, categorical data encoding, and dynamic data decoding to evaluate interdependencies, reduce storage requirements, and enhance data retrieval efficiency by transforming descriptive data into binary values and encoding records for efficient storage and decoding for retrieval.
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 transforms operational data from descriptive format into categorical encoded format using binary values. This parameter transformation reduces the storage requirements from storing full descriptive text to storing compact binary representations, directly addressing the contradiction between storage capacity and memory requirements
Solution Approach 2:
The system creates encoded copies of the original operational data through categorical encoding. These encoded representations preserve the essential information while occupying significantly less memory space, allowing the system to maintain data utility while reducing storage demands
2Loss of information
If existing systems store detailed operational records, then data completeness improves, but data retrieval processing time increases
Solution Approach 1:
The patent segments operational data into distinct categorical elements that can be independently encoded and retrieved. This segmentation allows the system to store complete information in a structured format that enables faster retrieval by processing only relevant categorical segments rather than entire records
Solution Approach 2:
By transforming data into categorical encoded format with binary values, the system changes the parameter representation to enable more efficient processing and retrieval operations, reducing the time required to access and analyze operational data while preserving information completeness
3Measurement precision
If existing systems analyze interdependencies between technology resources, then evaluation accuracy improves, but system complexity increases
Solution Approach 1:
The patent transforms complex interdependency relationships into categorical encoded parameters that can be systematically analyzed. This parameter transformation simplifies the representation of relationships between technology resources while maintaining the accuracy needed for evaluation, resolving the contradiction between evaluation precision and system complexity
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.