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ADATA Technology Co., Ltd. (Chinese: 威剛科技股份有限公司; pinyin: Wēigāng Kējì Gǔfènyǒuxiàngōngsī) is a Taiwanese fabless hardware manufacturer, founded in May 2001 by Simon Chen (Chinese: 陳立白). Its main product line consists of DRAM modules, USB flash drives, hard disk drives, solid state drives, memory cards and mobile accessories. ADATA is also expanding into…
The analysis highlights History, Technology and Products as prominent areas in the source structure around ADATA.
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 ADATA shows recurring relationship patterns in the source. For example, ADATA → ADATA Lighting, ADATA Technology, ADATA Technology's, ADATA's Chairman Chen Libai, Boda Investment, China Times Electronic News, December, Executive Yuan, In, In July, In October, January, June, LED, NT, On August, On December, On June, On October, OTC Another extracted example is ADATA → ADATA Industrial SolutionsADATA Lighting, ADATA Powertrain, Archived, Traditional Chinese, Wayback Machine, XPG. 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.
technology xpg lighting archived dram also led chen gaming main accessories product taiwan founded usb flash drives memory cards revenue
TTTA extracted 49 structured relationships around ADATA. Examples in this analysis include ADATA → Brands → XPG and ADATA → Founded → 4 May 2001; 25 years ago (2001-05-04). The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| ADATA | Brands | XPG | 1.00 | infobox |
| ADATA | Founded | 4 May 2001; 25 years ago (2001-05-04) | 1.00 | infobox |
| ADATA | Founder | Li-Pai (Simon) Chen | 1.00 | infobox |
| ADATA | Headquarters | New Taipei City, Taiwan | 1.00 | infobox |
| ADATA | Industry | Computer storage Computer memory | 1.00 | infobox |
| ADATA | Native name | 威剛科技股份有限公司 | 1.00 | infobox |
| ADATA | Net income | TWD$ 441.769 million (2019) | 1.00 | infobox |
| ADATA | Number of employees | 1,400 (2019) | 1.00 | infobox |
| ADATA | Operating income | TWD$ 2.826 billion (2019) | 1.00 | infobox |
| ADATA | Products | Memory cards USB flash drives External hard drives DRAMs Solid state drives Industrial technology LED lighting Powerbanks | 1.00 | infobox |
| ADATA | Revenue | TWD$ 25.597 billion (2019) | 1.00 | infobox |
| ADATA | Total assets | TWD$ 24.465 billion (2019) | 1.00 | infobox |
| ADATA | Total equity | TWD$ 8.007 billion (2019) | 1.00 | infobox |
| ADATA | Traded as | TPEx: 3260 | 1.00 | infobox |
| ADATA | Type | Public | 1.00 | infobox |
| ADATA | Website | www.adata.com www.xpg.com | 1.00 | infobox |
The concept neighborhoods around ADATA bring nearby vocabulary together. In this analysis, examples include Technology, Led and Lighting. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For ADATA, one of the stronger structural bridges in this analysis connects ADATA with Overview. 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 ADATA to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Technology & Products, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — ADATA · EN edition · Analysis: TopicsToTalkAbout