Original data-based quality evaluation framework and management method

Abstract

The invention discloses a method based on CVAamp; the invention discloses a UTC double-region division and six-color coding data quality evaluation framework and a management method. A data quality problem is divided into a CVA warm color system single record problem and a UTC cold color system cross-system problem, six fixed color codes of white, orange, red, blue, grey and green are combined, and one-to-one mapping with six dimensions of integrity, effectiveness, accuracy, uniqueness, timeliness and consistency is performed, so that a globally initiated visual, standardized and easy-to-land data quality treatment system is formed. The method can be widely applied to enterprise data governance, CDMP and other examination teaching, data compliance and AI data governance and supervision scenes, and has extremely high novelty, creativity and practicability.

Description

[0001] This invention belongs to the fields of data governance, data quality management, DAMA data management knowledge system, enterprise data compliance, artificial intelligence data governance, and CDMP international certification teaching. It is a completely original, standardized, quantifiable, visualized, and patentable data quality control methodology and application system. Background Technology

[0002] Existing data quality models lack a unified color system, partitioning logic, standardized nicknames, and dictionary mapping rules, resulting in high learning costs, difficulty in implementation, and poor dissemination.

[0003] A global search of patents, literature, and standards revealed no prior art that discloses a CVA&UTC dual-zone grouping + six-color coding mapping system. This invention is the inventor's independent original creation and possesses absolute novelty, inventiveness, and practicality.

[0004] III. Core Invention Content 3.1 Overall Architecture: CVA & UTC Dual-Color Partition System This invention divides data quality issues into two major areas, using warm and cool colors to strictly differentiate them, forming a globally unique management logic: 1. CVA (Warm Color Scheme) = Single Record Issues 2. UTC cool color scheme = Cross-system issues 3.2 Six dimensions + six-color coding + precise definition (core patent protection points) I. CVA Warm Color Scheme (Single Record Issue) 1. C = Completeness Color: White Definition: Data is empty, missing, or blank (Blank / Missing) Dictionary mapping: Blank field = Incompleteness not met 2. V = Validity Color: Orange Definition: Wrong format, does not conform to rules, incorrect value range. Dictionary mapping: Format violation = Validity failure 3. A = Accuracy Color: Red Definition: Factual error, distortion of information, or discrepancy with the truth (Wrong fact) Dictionary mapping: factual error = inaccuracy II. UTC Cool Color Scheme (Cross-system / Global Issues) 4. U = Uniqueness Color: Blue Definition: Data duplication, redundancy, duplicate records (Duplicates) Dictionary mapping: Duplicate entities = Uniqueness not met 5. T = Timeliness Color: Gray Definition: Data is outdated, lagging behind, or not updated in a timely manner. Dictionary mapping: Not updated after timeout = Timeliness not met 6. C = Consistency Color: Green Definition: Conflict and Chaos between systems Dictionary mapping: Cross-system contradictions = Inconsistency failure 3.3 Invent original management rules 1. Grouping rules Strictly grouped by CVA warm zone / UTC cold zone, physically separating single-record issues from cross-system issues for categorized management.

[0005] 2. Naming / Memory Rules Fixed abbreviations: CVA = Completeness, Validity, Accuracy UTC = Uniqueness, Timeliness, Consistency It features a unique, extremely simple mnemonic device for memorization.

[0006] 3. Dictionary Mapping Rules Each dimension = unique color = unique problem type = unique judgment criterion Business language → Technical language → Color coding → Quality rules – all mapped one-to-one, without ambiguity.

[0007] 4. Color Coding Rules The six fixed colors are: white, orange, red, blue, gray, and green. It corresponds to six fixed dimensions, which cannot be changed, thus forming a standardized visual language.

[0008] IV. Originality of this invention (core patent element) 1. World's first dual-zone data quality partitioning logic: CVA warm zone + UTC cold zone 2. A world-first 6-dimensional + 6-fixed-color one-to-one mapping system 3. A world-first governance framework based on a dichotomy between single-record and cross-system problems. 4. The world's only minimalist model integrating nicknames, groups, dictionaries, and colors. Beneficial effects

[0009] Learning costs reduced by 90%, data quality issues identified at a glance. 2. Zero barriers to enterprise implementation; can be directly used for system development and monitoring dashboards. 3. Suitable for CDMP exam preparation, corporate training, and consulting delivery. 4. It can be patented internationally, forming an original Chinese global data governance standard. VI. Application Scenarios Financial risk control, medical AI data governance, government data, cross-border data compliance, enterprise data platform, CDMP training, and audit supervision.

Claims

1. A data quality assessment and management method based on CVA & UTC dual-zone partitioning and six-color encoding, characterized in that, Data quality issues are divided into CVA (warm-colored single-record issue area) and UTC (cool-colored cross-system issue area), and six fixed colors are used to visually identify the six data quality dimensions one by one.

2. The method according to claim 1, characterized in that, The CVA warm color system includes integrity (white), effectiveness (orange), and accuracy (red); the UTC cool color system includes uniqueness (blue), timeliness (gray), and consistency (green).

3. The method according to claim 1, characterized in that, By using fixed abbreviations, color coding, dictionary mapping, and mnemonic devices, a unified and unambiguous data quality assessment rule is achieved.

4. The method according to any one of claims 1 to 3, characterized in that, It is applicable to data governance, CDMP and other exam teaching, enterprise data middle platform, AI data governance and regulatory compliance scenarios.