Data 100

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Data 100 topic overview

The analysis highlights History, Companies and Products as prominent areas in the source structure around Data 100.

Related topics: 40
Source areas: 2
Connected nodes: 42
Extracted relationships: 29
Related term clusters: 17
Bridge connections: 42

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 · 34 topics

Overview · 6 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: December 1968; 57 years ago (1968-12) in Minneapolis, Minnesota, United States
Founders: Bruce Bambrough · Marvin Bookin · David Jerry Eckberg · Edward Orenstein
Defunct: July 1978; 48 years ago (1978-07)
Fate: Acquired by Northern Telecom
Formerly: American Data Corporation (1968–1969)
Number of employees: 3,063 (1977, peak)

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Data 100

6Minneapolis · Control Data Corporation · Remote batch terminal

14Joint Computer Conference · IBM 2780 · Line printer

8Recession of 1969–1970 · Chichester · Hemel Hempstead

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.

For the semantics nerds

You can skip this section if you’re here for content ideas and keyword inspiration.

Advanced semantic analysis

How Data 100 connects Entity context

The extracted context around Data 100 shows recurring relationship patterns in the source. For example, Data 100 → American Data Corporation, Bloomington, Bruce Bambrough, CDC, CDC's, Control Data Corporation, Corporation, CRT, Data, Data Display, David Jerry Eckberg, December, Edward Orenstein, IBM, Marvin Bookin, Minneapolis, Minnesota, Orenstein, Soon, US Another extracted example is Data 100 → Bruce Bambrough, David Jerry Eckberg, Edward Orenstein, Marvin Bookin. Use these groups to spot repeated connection types before inspecting the individual relationships.

Top relations

related to history · 20

Data 100 → American Data Corporation, Bloomington, Bruce Bambrough, CDC, CDC's, Control Data Corporation, Corporation, CRT, Data, Data Display, David Jerry Eckberg, December, Edward Orenstein, IBM, Marvin Bookin, Minneapolis, Minnesota, Orenstein, Soon, US

Founders · 4

Data 100 → Bruce Bambrough, David Jerry Eckberg, Edward Orenstein, Marvin Bookin

Defunct · 1

Data 100 → July 1978; 48 years ago (1978-07)

Fate · 1

Data 100 → Acquired by Northern Telecom

Formerly · 1

Data 100 → American Data Corporation (1968–1969)

Founded · 1

Data 100 → December 1968; 57 years ago (1968-12) in Minneapolis, Minnesota, United States

Number of employees · 1

Data 100 → 3,063 (1977, peak)

Important terminology

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

Important terminology

data 100 model company corporation ibm 1978 remote batch founded acquired 1969 american terminal 70 computer entry equipment orenstein minnesota

Data 100 relationships Subject–Predicate–Object triples

TTTA extracted 29 structured relationships around Data 100. Examples in this analysis include Data 100 → Defunct → July 1978; 48 years ago (1978-07) and Data 100 → Fate → Acquired by Northern Telecom. The table shows each extracted connection, where it came from and its confidence.

Subject	Predicate	Object	Confidence	Src
Data 100	Defunct	July 1978; 48 years ago (1978-07)	1.00	infobox
Data 100	Fate	Acquired by Northern Telecom	1.00	infobox
Data 100	Formerly	American Data Corporation (1968–1969)	1.00	infobox
Data 100	Founded	December 1968; 57 years ago (1968-12) in Minneapolis, Minnesota, United States	1.00	infobox
Data 100	Founders	Bruce Bambrough	1.00	infobox
Data 100	Founders	Marvin Bookin	1.00	infobox
Data 100	Founders	David Jerry Eckberg	1.00	infobox
Data 100	Founders	Edward Orenstein	1.00	infobox
Data 100	Number of employees	3,063 (1977, peak)	1.00	infobox
Data 100	related to history	Data	0.60	section
Data 100	related to history	Corporation	0.60	section
Data 100	related to history	American Data Corporation	0.60	section

Related concept clusters Related term clusters

The concept neighborhoods around Data 100 bring nearby vocabulary together. In this analysis, examples include Model, Founded and Acquired. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

Data 100
- Model
- Founded
- Acquired
- Batch
- Remote
- Cdc
- Entry
- Terminal
- Ibm
- Employees
- Independent
- Minnesota
data 100
- Model
- Founded
- Acquired
- Batch
- Remote
- Cdc
- Entry
- Terminal
- Ibm
- Employees
- Independent
- Minnesota
control data corporation
- American
- Minneapolis
- Employees
- Minnesota
- United
- Model
- Data
- Northern
- Telecom
- Cdc
- Computer
- Founded
electronic data processing
- Model
- Founded
- Acquired
- Batch
- Remote
- Cdc
- Entry
- Terminal
- Ibm
- Employees
- Independent
- Minnesota
remote batch terminals
- Remote
- Entry
- Job
- Equipment
- Batch
- Terminals
- Ibm
- Independent
- Introduced
- Model
- Terminal
- Corporation
joint computer conference
- Based
- Minnesota
- System
- Corporation
- Data
- Company
- Minneapolis
- Model
- July
- Orenstein
- Cdc
- Founded
remote job entry
- Terminals
- Job
- Equipment
- Remote
- Ibm
- Introduced
- Model
- Independent
- Terminal
- Manufacturer
- Orenstein
- Cdc
cdc 6600
- Orenstein
- Corporation
- Job
- Data
- Equipment
- System
- Terminals
- Computer
- Entry
- Terminal
- Ibm
- Remote

Connections between topic areas Semantic bridges

For Data 100, one of the stronger structural bridges in this analysis connects Data 100 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

Data 100 — History · splits 8 ⟂ 35

Data 100 — Overview · splits 36 ⟂ 7

Map overview Semantic statistics

Data 100

Nodes43

Edges42

Triples29

Avg. degree1.95

Density0.046512

Components1

Source & methodology

TTTA analyzes the structure around Data 100 to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Companies & Products, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — Data 100 · EN edition · Analysis: TopicsToTalkAbout

Data 100: History, Companies & Products

Data 100 topic overview

What this topic covers Research coverage

Key facts & relationships

Start with your topic. Discover where to go next.

Questions to explore

Explore all related topics Closing gaps

Overview

History

For the semantics nerds

Advanced semantic analysis

How Data 100 connects Entity context

Data 100

Top relations

Important terminology

Important terminology

Data 100 relationships Subject–Predicate–Object triples

Related concept clusters Related term clusters

Connections between topic areas Semantic bridges

Map overview Semantic statistics

Data 100

Source & methodology