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Power Pivot

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.

History, Products & Measurement

Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.

Research this topic

Explore the main themes, entities and connections around Power Pivot. Start with the topic map, then use the sections below for research and deeper semantic analysis.

Explore this topic

Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Developer
Microsoft
License
Microsoft EULA
Operating system
Microsoft Windows
Type
OLAP, Data analysis, Business intelligence

Topics to explore

Browse the full topic structure. Each item opens a new analysis centered on that subject.

Overview

Product history and naming

Features

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

Map overview Semantic statistics

Power Pivot

Nodes20
Edges19
Triples40
Avg. degree1.9
Density0.1
Components1

How this topic connects Entity context

See the strongest relationship patterns around the current topic before diving into the raw triples.

Power Pivot

Top relations

related to history · 19
Power Pivot → Along, Amir Netz, Excel, In, It, May, Microsoft, Microsoft Excel, Microsoft's Business Intelligence, Prior, Project Gemini, R2, SharePoint, SQL Server, SQL Server Analysis Services, SQL Server Reporting Services, SSAS, This, While
related to Features · 16
Power Pivot → Analysis Services Server, As, Data Analysis Expressions, DAX, Excel, Excel's, In, MDX, Microsoft Access, Multi Dimensional Expressions, OData, Practically, Queries, SQL, SQL Server, The VertiPaq
Developer · 1
Power Pivot → Microsoft
License · 1
Power Pivot → Microsoft EULA
Operating system · 1
Power Pivot → Microsoft Windows
Type · 1
Power Pivot → OLAP, Data analysis, Business intelligence
related to External links · 1
Power Pivot → Power Pivot Help

Important terminology Word statistics

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

pivot power excel data model microsoft analysis server sql 2013 may available tabular version services used 2010 2016 business intelligence

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
Power PivotDeveloperMicrosoft1.00infobox
Power PivotLicenseMicrosoft EULA1.00infobox
Power PivotOperating systemMicrosoft Windows1.00infobox
Power PivotTypeOLAP, Data analysis, Business intelligence1.00infobox
Power Pivotrelated to External linksPower Pivot Help0.60section
Power Pivotrelated to FeaturesExcel0.60section
Power Pivotrelated to FeaturesIn0.60section
Power Pivotrelated to FeaturesExcel's0.60section
Power Pivotrelated to FeaturesSQL Server0.60section
Power Pivotrelated to FeaturesMicrosoft Access0.60section
Power Pivotrelated to FeaturesOData0.60section
Power Pivotrelated to FeaturesThe VertiPaq0.60section

Related concept clusters Concept neighborhoods

These clusters group vocabulary that occurs around closely connected concepts in the source material.

    Connections between topic areas Semantic bridges

    Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.

    Min side: 3
    For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.