Research any topic before you write.
Find related topics. | Discover entities. | See connections. | Build a topical map.
Business Objects (BO, BOBJ, or BObjects) was an enterprise software company, specializing in business intelligence (BI). Business Objects was acquired in 2007 by German company SAP. The company claimed more than 46,000 customers in its final earnings release prior to being acquired by SAP. Its flagship product was BusinessObjects XI (or BOXI), with…
The analysis highlights History, Companies and Products as prominent areas in the source structure around BusinessObjects.
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 BusinessObjects shows recurring relationship patterns in the source. For example, BusinessObjects → Acquires Acta Technologies, Acquires ALG Software, Acquires Blue Edge Software, Acquires Crystal Decisions, Acquires Next Action Technologies, Acquires OLAP, Acquires SRC Software, Acta, Armstrong Laing Group, Bernard Liautaud, Business, Business Objects, Business Week's, BusinessObjects Enterprise, BusinessObjects Performance Manager, BusinessWeek's, Cartesis, CEO, Clear, Continuing Another extracted example is BusinessObjects → Business Objects, Historical, SAP BusinessObjects, SEC. 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.
business objects sap company software acquires 2007 data launches bernard liautaud enterprise intelligence acquired citation needed crystal product xi customers
TTTA extracted 83 structured relationships around BusinessObjects. Examples in this analysis include BusinessObjects → Fate → Acquired by SAP (2007; 19 years ago (2007)) and BusinessObjects → Founded → 1990; 36 years ago (1990). The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| BusinessObjects | Fate | Acquired by SAP (2007; 19 years ago (2007)) | 1.00 | infobox |
| BusinessObjects | Founded | 1990; 36 years ago (1990) | 1.00 | infobox |
| BusinessObjects | Headquarters | San Jose, California and Paris, France | 1.00 | infobox |
| BusinessObjects | Industry | Software | 1.00 | infobox |
| BusinessObjects | Key people | John G. Schwarz, CEO Bernard Liautaud, Chairman and Founder | 1.00 | infobox |
| BusinessObjects | Products | Business intelligence tools Data visualization tools Analytics tools Data warehousing tools ETL tools | 1.00 | infobox |
| BusinessObjects | Website | www.sap.com | 1.00 | infobox |
| BusinessObjects | related to External links | SAP BusinessObjects | 0.60 | section |
| BusinessObjects | related to External links | Historical | 0.60 | section |
| BusinessObjects | related to External links | Business Objects | 0.60 | section |
| BusinessObjects | related to External links | SEC | 0.60 | section |
| BusinessObjects | related to Timeline | Business Objects | 0.60 | section |
The concept neighborhoods around BusinessObjects bring nearby vocabulary together. In this analysis, examples include Launches, Xi and Enterprise. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For BusinessObjects, one of the stronger structural bridges in this analysis connects BusinessObjects 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 BusinessObjects 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 — BusinessObjects · EN edition · Analysis: TopicsToTalkAbout