PATENT CLAIM ANALYSIS

Application Number: 16041468
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2018-12
Patent Classification: ["726", "001000"]

Abstract:
In particular embodiments, a data processing data inventory generation system is configured to: (1) generate a data model (e.g., a data inventory) for one or more data assets utilized by a particular organization; (2) generate a respective data inventory for each of the one or more data assets; and (3) map one or more relationships between one or more aspects of the data inventory, the one or more data assets, etc. within the data model. In particular embodiments, a data asset (e.g., data system, software application, etc.) may include, for example, any entity that collects, processes, contains, and/or transfers personal data (e.g., such as a software application, “internet of things” computerized device, database, website, data-center, server, etc.). The system may be configured to identify particular data assets and/or personal data in data repositories using any suitable intelligent identity scanning technique.

Claim (Index 9):
The computer-implemented data processing method of  claim 1 , wherein the catalog comprises one or more data fields selected from the group consisting of:\n (1) name; (2) address; (3) telephone number; (4) e-mail address; (5) social security number; (6) banking information; and (7) location data;

Metadata:
- Claim Count in Document: 5.0
- Percentile: 95.0
- Lexical Diversity: 2.21951
- Patent Class: 726.0
- Transitional Phrase Type: closed
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['16041545', '15996208', '16041563', '16041520', '15619251']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3555015807919852
- 35 USC 102 Novelty (BERT): 0.5596034069758502
- Combined Prediction Score: 0.3759117634103717
- Mean Citation Score: 313.254858
- Max Citation Score: 369.46036
- Similarity Product: 275.23169603367563

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test