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KPMG is a British multinational professional services network headquartered in London, England. It is one of the Big Four accounting firms, alongside Deloitte, EY and PwC. As of December 2024, KPMG is operated as a network of 46 firms across 145 countries, employing 275,288 people that are affiliated with KPMG International Limited, a private English…
The analysis highlights History, Culture, Art and Companies as prominent areas in the source structure around KPMG.
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 KPMG shows recurring relationship patterns in the source. For example, KPMG → Atos, BearingPoint, Best Places, Big Four, Bloomberg Businessweek, Career, Chapter, CollegeGrad, Dispute Advisory Services, Dutch, FTI Consulting, Germany, In, IPO, It, John Griffith-Jones, Klegal, KPMG Consulting, KPMG Europe LLP, KPMG's Another extracted example is KPMG → Belarusian, Bill Thomas, BSR, Canadian, CEO, Co, During March, Each, In India, Indian, KPMG International, KPMG International Limited, KPMG LLP, KPMG's, Limited, London, Russian, Some KPMG, Swiss, Swiss Verein. 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.
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TTTA extracted 198 structured relationships around KPMG. Examples in this analysis include KPMG → Area served → Worldwide and KPMG → Founded → 1987; 39 years ago (1987). The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| KPMG | Area served | Worldwide | 1.00 | infobox |
| KPMG | Founded | 1987; 39 years ago (1987) | 1.00 | infobox |
| KPMG | Founded | (merger of Peat Marwick International and Klynveld Main Goerdeler) | 1.00 | infobox |
| KPMG | Founded | 1979 (1979) (KMG) | 1.00 | infobox |
| KPMG | Founded | 1925 (1925) (Peat Marwick) | 1.00 | infobox |
| KPMG | Founded | 1897 (1897) (Marwick, Mitchell & Company) | 1.00 | infobox |
| KPMG | Founders | William Barclay Peat | 1.00 | infobox |
| KPMG | Founders | James Marwick | 1.00 | infobox |
| KPMG | Founders | Piet Klijnveld | 1.00 | infobox |
| KPMG | Founders | Roger Mitchell | 1.00 | infobox |
| KPMG | Founders | Jaap Kraayenhof | 1.00 | infobox |
| KPMG | Founders | Reinhard Goerdler | 1.00 | infobox |
| KPMG | Founders | Thompson McLintock | 1.00 | infobox |
| KPMG | Founders | Frank Wilber Main | 1.00 | infobox |
| KPMG | Headquarters | 15 Canada Square London, England, UK | 1.00 | infobox |
| KPMG | Industry | Professional services | 1.00 | infobox |
| KPMG | Key people | Bill Thomas (Global Chairman and CEO) | 1.00 | infobox |
| KPMG | Number of employees | 275,288 (2024) | 1.00 | infobox |
| KPMG | Revenue | US$38.4 billion (2024) | 1.00 | infobox |
| KPMG | Services | Actuarial | 1.00 | infobox |
| KPMG | Services | Assurance | 1.00 | infobox |
| KPMG | Services | Financial/Legal/Tax advice | 1.00 | infobox |
| KPMG | Services | Consulting | 1.00 | infobox |
| KPMG | Type | Company limited by guarantee | 1.00 | infobox |
| KPMG | Website | kpmg.com | 1.00 | infobox |
| KPMG | is a | British multinational professional services network headquartered in London | 0.90 | text |
The concept neighborhoods around KPMG bring nearby vocabulary together. In this analysis, examples include Audit, Million and Financial. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For KPMG, one of the stronger structural bridges in this analysis connects KPMG with Lawsuits. 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 KPMG to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Culture, 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 — KPMG · EN edition · Analysis: TopicsToTalkAbout