Categorical Data Encoding for IT Operational Records
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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, particularly in evaluating interdependencies and technical language processing, 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 compression.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If existing systems store and process massive amounts of IT operational data using traditional methods, then data completeness is maintained, but memory requirements and processing time become excessively large
Solution Approach 1:
The patent applies parameter changes by transforming categorical data from descriptive text format into encoded numerical representations. The system identifies categorical fields in IT operational data, determines the number of unique categories for each field, and encodes categories as integers from 0 to n-1. This parameter transformation dramatically reduces memory requirements while preserving data integrity and enabling efficient processing.
Solution Approach 2:
The patent creates simplified copies of the original data by generating encoded representations that capture the essential categorical information without storing the full descriptive text. The encoding process creates a compact copy of categorical data that can be stored and processed more efficiently while maintaining the ability to retrieve and interpret the original information when needed.
2Productivity
If existing systems process and analyze vast amounts of IT operational data, then comprehensive analysis is achieved, but processing time increases significantly
Solution Approach 1:
The patent reduces processing time by changing the parameter representation of categorical data from text strings to numerical codes. This transformation enables faster comparison, filtering, and aggregation operations during data analysis. The encoded numerical format allows for more efficient computational operations while maintaining the ability to perform comprehensive analysis of IT operational data.
Solution Approach 2:
The patent segments the data processing task into distinct phases: identifying categorical fields, determining category counts, encoding categories as integers, and storing the encoded data. This segmentation allows each phase to be optimized independently and enables parallel processing of multiple categorical fields, thereby reducing overall processing time for comprehensive data analysis.
3Ease of operation
If traditional data storage methods are used for IT operational records, then data retrieval is straightforward, but storage efficiency is poor
Solution Approach 1:
The patent improves storage efficiency by changing the parameter format of categorical data from verbose text descriptions to compact numerical encodings. The system stores the mapping between category names and encoded integers in a reference structure, allowing efficient retrieval by storing only the encoded values in the main dataset. This approach maintains ease of operation through the reference mapping while achieving significant storage efficiency improvements.
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.