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Cognos: History, Products & Companies
Cognos Incorporated was an Ottawa, Ontario-based company making business intelligence (BI) and performance management (PM) software. Founded in 1969, at its peak Cognos employed almost 3,500 people and served more than 23,000 customers in over 135 countries until being acquired by IBM on January 31, 2008. While no longer an independent company, the…
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Cognos topic overview
The analysis highlights History, Products and Companies as prominent areas in the source structure around Cognos. 1 topic appears in more than one source area, which can help identify connections that are less obvious in a linear reading.
Related topics
44
Source areas
6
Connected nodes
51
Extracted relationships
107
Concept neighborhoods
22
Bridge connections
51
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 · 12 topics
Federal investigation · 10 topics
Acquisition of Cognos by IBM · 7 topics
Overview · 7 topics
Products · 6 topics
BI market · 3 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
1969
Industry
Software
Headquarters
Ottawa, Ontario, Canada
Defunct
2009 (2009)
Fate
Acquired
Founder
Alan Rushforth Peter Glenister
Explore all related topics Closing gaps
A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.
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.
How Cognos connects Entity context
Entity context groups extracted connections by relationship type. Counts show recurrence in the analyzed source; the examples are research signals, not claims about importance.
The extracted context around Cognos shows recurring relationship patterns in the source. For example, Cognos → DiMasi's, Education, IBM, In, In August, Information Technology Division, Inspector General Gregory Sullivan, Joseph Lally, Massachusetts, Massachusetts Department, Massachusetts House, Representatives Salvatore DiMasi, Richard Vitale, Speaker, State, State Ethics Commission, Steven Topazio, The, These, This Another extracted example is Cognos → Alan Rushforth, August, Canadian, COGN, CSN, During, IBM, It, Its, January, Latin, Michael, NASDAQ, Originally Quasar Systems Limited, Peter Glenister, Potter, QUIZ, Toronto Stock Exchange. Use these groups to spot repeated connection types before inspecting the individual relationships.
Cognos
Top relations
related to Federal investigation· 24
Cognos → DiMasi's, Education, IBM, In, In August, Information Technology Division, Inspector General Gregory Sullivan, Joseph Lally, Massachusetts, Massachusetts Department, Massachusetts House, Representatives Salvatore DiMasi, Richard Vitale, Speaker, State, State Ethics Commission, Steven Topazio, The, These, This
related to history· 18
Cognos → Alan Rushforth, August, Canadian, COGN, CSN, During, IBM, It, Its, January, Latin, Michael, NASDAQ, Originally Quasar Systems Limited, Peter Glenister, Potter, QUIZ, Toronto Stock Exchange
related to Acquisition of Cognos by IBM· 17
Cognos → Business Objects, CA, Hyperion Solutions, IBM, IBM Cognos Analytics, IBM Information Management Software, IBM Infosphere, IBM Planning Analytics, In, It, January, November, Oracle's, PA, SAP's, Software Group, The
related to BI market· 14
Cognos → Another, BI, Due, Gartner, IBM, IBM Cognos, IBM's, Microsoft, MicroStrategy, Oracle, SAP, SAP Business Objects, SAS, This
related to Products· 13
Cognos → BI, BlackBerry, Business Analytics Forum, Cognos Business Intelligence, Cognos CEO Rob Ashe, IBM, IBM Cognos, IBM Cognos Analytics, IBM Insight, Las Vegas, On October, The, Watson Analytics
Defunct· 1
Cognos → 2009 (2009)
Fate· 1
Cognos → Acquired
Founded· 1
Cognos → 1969
Founder· 1
Cognos → Alan Rushforth Peter Glenister
Headquarters· 1
Cognos → Ottawa, Ontario, Canada
Important terminology
Frequent words and multi-word phrases across the lead, headings, infobox and body. Useful for terminology coverage.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
Relationships are represented as Subject → Predicate → Object triples. Confidence describes extraction strength, not the real-world importance of a relationship; lower-confidence rows may be contextual rather than explicit.
TTTA extracted 107 structured relationships around Cognos. Examples in this analysis include Cognos → Defunct → 2009 (2009) and Cognos → Fate → Acquired. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
Cognos
Defunct
2009 (2009)
1.00
infobox
Cognos
Fate
Acquired
1.00
infobox
Cognos
Founded
1969
1.00
infobox
Cognos
Founder
Alan Rushforth Peter Glenister
1.00
infobox
Cognos
Headquarters
Ottawa, Ontario, Canada
1.00
infobox
Cognos
Industry
Software
1.00
infobox
Cognos
Key people
Rob Ashe, General Manager, IBM Business Analytics
1.00
infobox
Cognos
Products
Business intelligence Data visualization Analytics
1.00
infobox
Cognos
Type
Brand (of IBM)
1.00
infobox
Cognos
Website
Official website
1.00
infobox
Cognos
is a
fragment scissored off the Latin word
0.90
text
iPad
instance of
online or through mobile devices
0.80
text
No triples extracted yet.
Related concept clusters Concept neighborhoods
Concept neighborhoods group terms that sit near one another in the extracted graph. They are useful for discovering adjacent language and context, but proximity does not by itself imply a factual relationship.
The concept neighborhoods around Cognos bring nearby vocabulary together. In this analysis, examples include Ibm, Business and Software. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Cognos
Ibm
Business
Software
Intelligence
Analytics
Bi
Company
Also
Announced
Awarded
Features
January
cognos
Ibm
Business
Software
Intelligence
Analytics
Bi
Company
Also
Announced
Awarded
Features
January
company
Management
Intelligence
Products
Ottawa
Software
Federal
General
Industry
Line
Performance
Product
Founded
business intelligence
Intelligence
Ibm
Cognos
Analytics
Bi
Software
Products
Company
Ottawa
Announced
Industry
Manager
ibm
Analytics
Software
Intelligence
January
Manager
Announced
Features
Products
Web
People
Acquisition
Experience
business analytics
Intelligence
Ibm
Cognos
Analytics
Business
Bi
Manager
Software
Company
General
Also
Announced
business objects
Intelligence
Ibm
Cognos
Analytics
Bi
Software
Company
Announced
Manager
Products
Ottawa
Acquisition
ibm infosphere
Analytics
Software
Intelligence
January
Manager
Announced
Features
Products
Web
People
Acquisition
Experience
Connections between topic areas Semantic bridges
Semantic bridges connect parts of the graph that would otherwise be more separate. A bridge is a structural signal in this analysis, not a claim that the two topic areas are equivalent.
For Cognos, one of the stronger structural bridges in this analysis connects Cognos 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.
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
Cognos
Nodes52
Edges51
Triples107
Avg. degree1.96
Density0.038462
Components1
Source & methodology
TTTA analyzes the structure around Cognos to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Products & Companies, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
