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SAP je německá softwarová firma se sídlem ve Walldorfu (Bádensko). Její produkty jsou z oblasti ERP. Název firmy vznikl ze zkratky „Systeme, Anwendungen, Produkte in der Datenverarbeitung“, což je analogicky anglicky „Systems - Applications - Products in data processing“. Do češtiny by se dalo přeložit jako Systémy – Aplikace – Produkty ve zpracování dat.
The analysis highlights Produkty, Historie and Overview as prominent areas in the source structure around SAP.
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 SAP shows recurring relationship patterns in the source. For example, SAP → ABAPMožné, AIX, AS/400, CRM, ERP, HP-UX, IBM DB/400, IBM DB2, Informix, Linux, MaxDB, MS SQL, Oracle, SaaS SAP Cloud, SAP DB, SAP HANAMožné, SAP NetWeaver, SCM, Solaris, SRM Another extracted example is SAP → HANA, Help, IBM Archivováno, NetworkPodepsána, NovellemIn-memory, Obrázky, PC, SAP LibraryThe SAP Developer, SAP SE, SAP Training MaterialsSAP Business, SAPem, SAPu, Wayback Machine, Wikimedia CommonsFiremní. 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.
mld 2023 2022 produkty data 30 hana dietmar hopp hasso plattner erp vlastní business in systems applications products processing 1972
TTTA extracted 82 structured relationships around SAP. Examples in this analysis include SAP → Adresa sídla → Walldorf, 691 90, Německo and SAP → Celková aktiva → 68,3 mld. € (2023) 72,2 mld. € (2022). The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| SAP | Adresa sídla | Walldorf, 691 90, Německo | 1.00 | infobox |
| SAP | Celková aktiva | 68,3 mld. € (2023) 72,2 mld. € (2022) | 1.00 | infobox |
| SAP | Datum založení | 1. dubna 1972 | 1.00 | infobox |
| SAP | Dceřiné společnosti | Business Objects SAP SuccessFactors SAP Ariba SAP Concur Fieldglass KXEN Inc. Systems Applications and Products in Data Processing (United States) Systems Applications and Produ… | 1.00 | infobox |
| SAP | ISIN | DE0007164600 | 1.00 | infobox |
| SAP | Klíčoví lidé | Christian Klein | 1.00 | infobox |
| SAP | LEI | 529900D6BF99LW9R2E68 | 1.00 | infobox |
| SAP | Majitelé | Dietmar Hopp (13 %) Hasso Plattner (7,1 %) BlackRock (5,1 %) Government Pension Fund Global (1,8 %) | 1.00 | infobox |
| SAP | Oblast činnosti | softwarový průmysl a vývoj softwaru | 1.00 | infobox |
| SAP | Obrat | 31,2 mld. € (2023) 30,9 mld. € (2022) | 1.00 | infobox |
| SAP | Oficiální web | www.sap.com | 1.00 | infobox |
| SAP | OpenCorporates ID | de/B8535_HRB719915 | 1.00 | infobox |
| SAP | Produkty | mySAP | 1.00 | infobox |
| SAP | Provozní zisk | 8,2 mld. € (2023) 4,5 mld. € (2022) | 1.00 | infobox |
| SAP | Právní forma | evropská společnost | 1.00 | infobox |
| SAP | Předchůdce | SAP AG | 1.00 | infobox |
| SAP | Souřadnice sídla | 49°17′36,5″ s. š., 8°38′30,5″ v. d. | 1.00 | infobox |
| SAP | Vlastní kapitál | 43,2 mld. € (2023) 40,2 mld. € (2022) | 1.00 | infobox |
| SAP | Výsledek hospodaření | 6,1 mld. € (2023) 2,3 mld. € (2022) | 1.00 | infobox |
| SAP | Zakladatelé | Dietmar Hopp Hasso Plattner Klaus Tschira Claus Wellenreuther Hans-Werner Hector | 1.00 | infobox |
| SAP | Zaměstnanci | 106 043 (2023) | 1.00 | infobox |
The concept neighborhoods around SAP bring nearby vocabulary together. In this analysis, examples include Hana, Business and Vlastní. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For SAP, one of the stronger structural bridges in this analysis connects SAP with Produkty. 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 SAP to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Produkty, Historie & Overview, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — SAP · CS edition · Analysis: TopicsToTalkAbout