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Precisely Software, LLC, doing business as Precisely, is a software company specializing in data integrity tools, and also providing big data, high-speed sorting, ETL, data integration, data quality, data enrichment, and location intelligence offerings. The company was originally founded as Whitlow Computer Systems before rebranding as Syncsort…
The analysis highlights History, Products and Companies as prominent areas in the source structure around Precisely (company).
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 Precisely (company) shows recurring relationship patterns in the source. For example, Precisely (company) → Burlington, Massachusetts, U.S. (2020s), Englewood Cliffs, New Jersey, U.S. (1970s–1980s), Pearl River, New York, U.S. (2010s), Woodcliff Lake, New Jersey (1980s–2010s) Another extracted example is Precisely (company) → 1968; 58 years ago (1968) in Englewood Cliffs, New Jersey. 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.
syncsort company data precisely ibm mainframe software acquired product systems ceo whitlow 2020 location sort computer new business also quality
TTTA extracted 12 structured relationships around Precisely (company). Examples in this analysis include Precisely (company) → Founded → 1968; 58 years ago (1968) in Englewood Cliffs, New Jersey and Precisely (company) → Founder → Duane Whitlow and Stan Rintel. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Precisely (company) | Founded | 1968; 58 years ago (1968) in Englewood Cliffs, New Jersey | 1.00 | infobox |
| Precisely (company) | Founder | Duane Whitlow and Stan Rintel | 1.00 | infobox |
| Precisely (company) | Headquarters | Englewood Cliffs, New Jersey, U.S. (1970s–1980s) | 1.00 | infobox |
| Precisely (company) | Headquarters | Woodcliff Lake, New Jersey (1980s–2010s) | 1.00 | infobox |
| Precisely (company) | Headquarters | Pearl River, New York, U.S. (2010s) | 1.00 | infobox |
| Precisely (company) | Headquarters | Burlington, Massachusetts, U.S. (2020s) | 1.00 | infobox |
| Precisely (company) | Industry | Data Management | 1.00 | infobox |
| Precisely (company) | Key people | Walid Abu-Hadba (CEO) | 1.00 | infobox |
| Precisely (company) | Number of employees | 2,000 (2019, 2021) | 1.00 | infobox |
| Precisely (company) | Revenue | $600 million (2020) | 1.00 | infobox |
| Precisely (company) | Type | Private | 1.00 | infobox |
| Precisely (company) | Website | precisely.com | 1.00 | infobox |
The concept neighborhoods around Precisely (company) bring nearby vocabulary together. In this analysis, examples include Intelligence, Quality and Location. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Precisely (company), one of the stronger structural bridges in this analysis connects Precisely (company) 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 Precisely (company) 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.
Source: Wikipedia — Precisely (company) · EN edition · Analysis: TopicsToTalkAbout