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FactSet: History, Art, Technology & Measurement

FactSet Research Systems Inc., trading as FactSet, is an American financial data and software company headquartered in Norwalk, Connecticut, United States. The company provides integrated data and software. For fiscal year 2024, FactSet's total ASV and professional services revenues were $2.2 billion. FactSet's total market value is approximately $17…

Language: English [EN]

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FactSet topic overview

The analysis highlights History, Art, Technology and Measurement as prominent areas in the source structure around FactSet.

Related topics: 29
Source areas: 3
Connected nodes: 32
Extracted relationships: 92
Concept neighborhoods: 13
Bridge connections: 32

What this topic covers Research coverage

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.

History · 19 topics

Overview · 8 topics

Investor concerns · 2 topics

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.

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Founded: September 1978; 47 years ago (1978-09)
Founders: Howard Wille · Charles Snyder
Industry: Financial services · Technology
Headquarters: Norwalk, Connecticut, U.S.
Key people: Sanoke Viswanathan (CEO) · Helen L. Shan (CFO)
Net income: US$597 million (2025)

Suggested research paths

A focused starting point derived from the topic graph, ranked independently of the source article order.

Start with these areas

History

Arcesium Asia-Pacific Compustat Computer-based Data Explorers

Investor concerns

Dow Jones Lipper

Explore all related topics Closing gaps

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.

Overview

History

Wall Street
Faulkner, Dawkins & Sullivan
Shearson
Computer-based Computer-based?action=edit&redlink=1
Compustat
Value Line
New York City
Greenwich, Connecticut
London
Europe
Asia-Pacific
Tokyo
New York Stock Exchange
Data Explorers
Trucost
Industry taxonomy Industry classification
RepRisk
S&P 500
Arcesium

Investor concerns

Dow Jones Dow Jones & Company
Lipper

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

How FactSet connects Entity context

The extracted context around FactSet shows recurring relationship patterns in the source. For example, FactSet → As, At, Chuck Snyder, Compustat, Dawkins, Faulkner, Howard Wille, Snyder, Snyder's, Sullivan, Their, Wall Street, When Shearson, Wille Another extracted example is FactSet → Asia-Pacific, Connecticut, Europe, Greenwich, In, London, New York City, That, The, Tokyo, Windows. Use these groups to spot repeated connection types before inspecting the individual relationships.

FactSet

Top relations

related to 1977–1980 · 14

FactSet → As, At, Chuck Snyder, Compustat, Dawkins, Faulkner, Howard Wille, Snyder, Snyder's, Sullivan, Their, Wall Street, When Shearson, Wille

related to 1990–2000 · 11

FactSet → Asia-Pacific, Connecticut, Europe, Greenwich, In, London, New York City, That, The, Tokyo, Windows

related to 2009–2015 · 11

FactSet → Also, Data Explorers, DIRECTIONS, Factset Research Systems, FirstRain, FirstRain's, IBCentral, In, In January, Marquee, The

related to 1981–1989 · 8

FactSet → Another, For, In, Private Database Service, Snyder, Universal Screening, Users, Visicalc

related to 2015–present · 7

FactSet → Code Red Inc, EMS, LLC, On February, On October, Portware, Research Management

related to Investor concerns · 6

FactSet → Barra, Dow Jones, Lipper, Russell, Since, The

related to Products · 4

FactSet → Amazon Web Services, AWS, FactSet's Workstation, In November

Traded as · 3

FactSet → Nasdaq: FDS, NYSE: FDS, S&P 500 component

related to External links · 3

FactSet → FactSet Research Systems Inc, GoogleReutersSEC, Official

Founders · 2

FactSet → Charles Snyder, Howard Wille

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

data company management research acquired portfolio services provider factset's systems inc financial market connecticut ceo industry wille snyder billion analysis

FactSet relationships Subject–Predicate–Object triples

TTTA extracted 92 structured relationships around FactSet. Examples in this analysis include FactSet → Founded → September 1978; 47 years ago (1978-09) and FactSet → Founders → Howard Wille. The table shows each extracted connection, where it came from and its confidence.

Subject	Predicate	Object	Confidence	Src
FactSet	Founded	September 1978; 47 years ago (1978-09)	1.00	infobox
FactSet	Founders	Howard Wille	1.00	infobox
FactSet	Founders	Charles Snyder	1.00	infobox
FactSet	Headquarters	Norwalk, Connecticut, U.S.	1.00	infobox
FactSet	Industry	Financial services	1.00	infobox
FactSet	Industry	Technology	1.00	infobox
FactSet	Key people	Sanoke Viswanathan (CEO)	1.00	infobox
FactSet	Key people	Helen L. Shan (CFO)	1.00	infobox
FactSet	Net income	US$597 million (2025)	1.00	infobox
FactSet	Number of employees	12,800 (2025)	1.00	infobox
FactSet	Number of locations	35, in 19 countries	1.00	infobox
FactSet	Operating income	US$748 million (2025)	1.00	infobox
FactSet	Revenue	US$2.32 billion (2025)	1.00	infobox
FactSet	Total assets	US$4.30 billion (2025)	1.00	infobox
FactSet	Total equity	US$2.19 billion (2025)	1.00	infobox
FactSet	Trade name	FactSet	1.00	infobox
FactSet	Traded as	NYSE: FDS	1.00	infobox
FactSet	Traded as	Nasdaq: FDS	1.00	infobox
FactSet	Traded as	S&P 500 component	1.00	infobox
FactSet	Type	Public	1.00	infobox
FactSet	Website	factset.com	1.00	infobox

Related concept clusters Concept neighborhoods

The concept neighborhoods around FactSet bring nearby vocabulary together. In this analysis, examples include Data, Acquired and Provider. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

FactSet
- Data
- Acquired
- Provider
- Management
- Research
- Systems
- Portfolio
- Financial
- Inc
- Market
- Services
- Acquisition
factset
- Data
- Acquired
- Provider
- Management
- Research
- Systems
- Portfolio
- Financial
- Inc
- Market
- Services
- Acquisition
financial data
- Technology
- Inc
- Research
- Factset
- Norwalk
- Snyder
- Systems
- Wille
- Management
- Company
- Provides
- Public
data management
- Provider
- Research
- Factset
- Acquisition
- Portfolio
- Management
- Acquired
- Inc
- Solutions
- Systems
- Market
- Services
data explorers
- Research
- Factset
- Management
- Inc
- Systems
- Company
- Provides
- Including
- Platform
- Financial
- Market
- Portfolio
norwalk, connecticut
- Norwalk
- Financial
- Public
- Software
- Technology
- Trading
- Ceo
- United
- Year
- Industry
- New
- Services
greenwich, connecticut
- Norwalk
- Financial
- Public
- Software
- Technology
- Trading
- Year
- Ceo
- New
- United
- Inc
- Industry
industry taxonomy
- Technology
- Snyder
- Wille
- Norwalk
- Public
- Including
- Risk
- Solutions
- Analysis
- Services
- Portfolio
- Provider

Connections between topic areas Semantic bridges

For FactSet, one of the stronger structural bridges in this analysis connects FactSet 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.

Min side: 3

FactSet — History · splits 13 ⟂ 20

FactSet — Overview · splits 24 ⟂ 9

FactSet — Investor concerns · splits 30 ⟂ 3

Map overview Semantic statistics

FactSet

Nodes33

Edges32

Triples92

Avg. degree1.94

Density0.060606

Components1

Source & methodology

TTTA analyzes the structure around FactSet to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Art, Technology & Measurement, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — FactSet · EN edition · Analysis: TopicsToTalkAbout

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