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Power Pivot, formerly known as PowerPivot (without spacing), is a self-service business intelligence feature of Microsoft Excel which facilitates the creation of a tabular model to import, relate, and analyze data from a variety of sources.
The analysis highlights History, Products and Measurement as prominent areas in the source structure around Power Pivot.
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.
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The extracted context around Power Pivot shows recurring relationship patterns in the source. For example, Power Pivot → Along, Amir Netz, Excel, May, Microsoft, Microsoft Excel, Microsoft's Business Intelligence, Prior, Project Gemini, R2, SharePoint, SQL Server, SQL Server Analysis Services, SQL Server Reporting Services, SSAS Another extracted example is Power Pivot → Analysis Services Server, Data Analysis Expressions, DAX, Excel, Excel's, MDX, Microsoft Access, Multi Dimensional Expressions, OData, Practically, Queries, SQL, SQL Server, The VertiPaq. 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.
pivot power excel data model microsoft analysis server sql 2013 may available tabular version services used 2010 2016 business intelligence
TTTA extracted 33 structured relationships around Power Pivot. Examples in this analysis include Power Pivot → Developer → Microsoft and Power Pivot → License → Microsoft EULA. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Power Pivot | Developer | Microsoft | 1.00 | infobox |
| Power Pivot | License | Microsoft EULA | 1.00 | infobox |
| Power Pivot | Operating system | Microsoft Windows | 1.00 | infobox |
| Power Pivot | Type | OLAP, Data analysis, Business intelligence | 1.00 | infobox |
| Power Pivot | related to Features | Excel | 0.60 | section |
| Power Pivot | related to Features | Excel's | 0.60 | section |
| Power Pivot | related to Features | SQL Server | 0.60 | section |
| Power Pivot | related to Features | Microsoft Access | 0.60 | section |
| Power Pivot | related to Features | OData | 0.60 | section |
| Power Pivot | related to Features | The VertiPaq | 0.60 | section |
| Power Pivot | related to Features | Practically | 0.60 | section |
| Power Pivot | related to Features | Analysis Services Server | 0.60 | section |
The concept neighborhoods around Power Pivot bring nearby vocabulary together. In this analysis, examples include Power, Excel and Microsoft. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Power Pivot, one of the stronger structural bridges in this analysis connects Power Pivot 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 Power Pivot to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Products & Measurement, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Power Pivot · EN edition · Analysis: TopicsToTalkAbout
