Categorical Data Encoding for IT Stability Evaluation
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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 inept at evaluating interdependencies between technology resources and activities, leading to inefficiencies in data evaluation and storage.
Innovation Solution
A computerized system that performs operational data processing, technical language processing, categorical data encoding, and dynamic data decoding to evaluate technology stability, likelihood of change incidents, and impact of incidents, using a processor, memory device, and network communication device to retrieve, encode, and decode records efficiently.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If existing systems process and store massive amounts of data associated with information technology operational activities, then data storage capacity increases, but memory requirements and processing time increase significantly
Solution Approach 1:
The patent segments data into categorical groups (technology resources, operational activities, interdependencies) and encodes each category separately. This segmentation allows the system to process and retrieve specific categorical data efficiently without handling the entire massive dataset, thereby reducing processing time while maintaining adequate storage capacity.
Solution Approach 2:
The patent transforms data from its original form into encoded categorical representations, changing the parameter of data structure. By converting raw operational data into categorized and encoded formats, the system reduces the effective size of data requiring processing while preserving the ability to retrieve and analyze relevant information when needed.
2Quantity of substance
If existing systems store massive amounts of data, then data storage capacity increases, but memory requirements increase
Solution Approach 1:
The patent divides the massive dataset into distinct categorical segments (technology resources, operational activities, interdependencies, incidents). By storing data in segmented categorical form rather than as a monolithic dataset, the system reduces the memory footprint required for storage while maintaining the capacity to store comprehensive operational data over time.
Solution Approach 2:
The patent applies data encoding transformations that change the parameter of data representation. By encoding categorical data in a compressed format and storing only essential categorical identifiers rather than complete raw data, the system achieves reduced memory requirements while preserving data storage capacity for historical and analytical purposes.
3Measurement precision
If existing systems analyze massive amounts of data, then evaluation capability increases, but processing time increases significantly
Solution Approach 1:
The patent segments data into meaningful categories (technology resources, operational activities, interdependencies, incidents) that align with evaluation objectives. This segmentation enables the system to perform targeted analysis on specific categorical data rather than processing entire datasets, thereby maintaining evaluation capability while significantly reducing processing time.
Solution Approach 2:
The patent performs preliminary categorization and encoding of data before analysis is required. By pre-organizing data into categorical structures and encoding relationships in advance, the system prepares data for efficient retrieval and analysis, reducing the processing time required during actual evaluation while maintaining comprehensive evaluation capability.
4Measurement precision
If existing systems evaluate interdependencies between technology resources and activities, then evaluation capability increases, but system complexity increases
Solution Approach 1:
The patent segments the complex evaluation task into distinct categorical components (technology resources, operational activities, interdependencies, incidents). By evaluating each category separately and then integrating results, the system maintains comprehensive evaluation capability while reducing the apparent complexity of the overall system through structured modular analysis.
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.