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Equifax Inc. is an American multinational consumer credit reporting agency headquartered in Atlanta, Georgia, and is one of the three largest consumer credit reporting agencies, along with Experian and TransUnion (together known as the "Big Three"). Equifax collects and aggregates information on more than 800 million individual consumers and more than 88…
The analysis highlights History, Art and Companies as prominent areas in the source structure around Equifax.
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
The extracted context around Equifax shows recurring relationship patterns in the source. For example, Equifax → American, Atlanta, By, Canada, Canadian, Cator, Even, Georgia, Guy Woolford, Most, RCC, Retail Credit Company, Retail Credit Company's, Retailers Commercial Agency, The, These, This, United States Another extracted example is Equifax → An Equifax, Experian, Fair Credit Reporting Act, FCRA, Federal Trade Commission, FTC, In, In July, Julie Miller, Justin Baxter, Marion County, Miller, Miller's, Oregon, Social Security, The, TransUnion. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
credit company breach data million 2017 information reporting security also consumer july financial consumers may equifax's october reported 000 september
TTTA extracted 141 structured relationships around Equifax. Examples in this analysis include Equifax → Area served → Worldwide and Equifax → Divisions → Equifax Canada. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Equifax | Area served | Worldwide | 1.00 | infobox |
| Equifax | Divisions | Equifax Canada | 1.00 | infobox |
| Equifax | Divisions | Equifax Workforce Solutions | 1.00 | infobox |
| Equifax | Founded | 1899; 127 years ago (1899) (as Retail Credit Company) | 1.00 | infobox |
| Equifax | Founders | Cator Woolford | 1.00 | infobox |
| Equifax | Founders | Guy Woolford | 1.00 | infobox |
| Equifax | Headquarters | Atlanta, Georgia, US | 1.00 | infobox |
| Equifax | Industry | Credit risk assessment | 1.00 | infobox |
| Equifax | Key people | Mark L. Feidler | 1.00 | infobox |
| Equifax | Key people | (Chairman) | 1.00 | infobox |
| Equifax | Key people | Mark W. Begor | 1.00 | infobox |
| Equifax | Key people | (CEO) | 1.00 | infobox |
| Equifax | Key people | John W. Gamble, Jr. | 1.00 | infobox |
| Equifax | Key people | (COO & CFO) | 1.00 | infobox |
| Equifax | Net income | US$604 million (2024) | 1.00 | infobox |
| Equifax | Number of employees | 14,700 (2024) | 1.00 | infobox |
| Equifax | Operating income | US$1.04 billion (2024) | 1.00 | infobox |
| Equifax | Revenue | US$5.68 billion (2024) | 1.00 | infobox |
| Equifax | Total assets | US$11.7 billion (2024) | 1.00 | infobox |
| Equifax | Total equity | US$4.81 billion (2024) | 1.00 | infobox |
| Equifax | Traded as | NYSE: EFX | 1.00 | infobox |
| Equifax | Traded as | S&P 500 component | 1.00 | infobox |
| Equifax | Traded as | B3: EFXB31 | 1.00 | infobox |
| Equifax | Type | Public | 1.00 | infobox |
| Equifax | Website | equifax.com | 1.00 | infobox |
The concept neighborhoods around Equifax bring nearby vocabulary together. In this analysis, examples include Data, Million and Company. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Equifax, one of the stronger structural bridges in this analysis connects Equifax with History. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around Equifax to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Art & Companies, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Equifax · EN edition · Analysis: TopicsToTalkAbout