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February 2019
*Gartner “Magic Quadrant for Analytics and Business Intelligence Platforms,” by Cindi Howson, James Richardson, Rita Sallam, Austin Kronz, 11 February 2019
The above graphics were published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from Microsoft. Gartner does not endorse any
vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research
organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose. GARTNER is a registered
trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved.
Personal BI
Created by the end user
For user only,
exists as document.
Team BI
Created by power user
For a small team,
managed on a server.
Corporate BI
For established corporate use,
reusable, scalable and backed up.
The BI Semantic Model transitions seamlessly
Power BI Desktop
PowerPivot for Excel
Power BI Pro Power BI Pro
SQL Server Analysis Services
THE JOURNEY TO ALIGNMENT
PBI Service
Data sources
Scheduled refresh
PBI Desktop
Consumption by end users
Reports
Model
Query
Data
ReportsDashboards
Model Data
Query
Departmental Analysis Automation
 Pros: self service modelling and reporting, sources
integration, performance
 Cons: data size & transfer
PBI Service
Data sources
Direct Query
PBI Desktop
Consumption by end users
Reports
Model
Data
ReportsDashboards
Model
Data Exploration
 Pros: self service modelling and reporting, data size
 Cons: performance, data integration
Query
PBI Service
Data sources
Live Query
PBI Desktop
Consumption by end users
Reports
ReportsDashboards
Data Visualization
 Pros: self service reporting, data size, performance, data
integration, and real time, decoupling data sources
 Cons: self modelling
Model
Query
Analysis
Services
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 Power BI Overview e la soluzione SCA per gli Atenei
 Power BI Overview e la soluzione SCA per gli Atenei

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Power BI Overview e la soluzione SCA per gli Atenei

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  • 3. February 2019 *Gartner “Magic Quadrant for Analytics and Business Intelligence Platforms,” by Cindi Howson, James Richardson, Rita Sallam, Austin Kronz, 11 February 2019 The above graphics were published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from Microsoft. Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose. GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved.
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  • 19. Personal BI Created by the end user For user only, exists as document. Team BI Created by power user For a small team, managed on a server. Corporate BI For established corporate use, reusable, scalable and backed up. The BI Semantic Model transitions seamlessly Power BI Desktop PowerPivot for Excel Power BI Pro Power BI Pro SQL Server Analysis Services THE JOURNEY TO ALIGNMENT
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  • 25. PBI Service Data sources Scheduled refresh PBI Desktop Consumption by end users Reports Model Query Data ReportsDashboards Model Data Query Departmental Analysis Automation  Pros: self service modelling and reporting, sources integration, performance  Cons: data size & transfer
  • 26. PBI Service Data sources Direct Query PBI Desktop Consumption by end users Reports Model Data ReportsDashboards Model Data Exploration  Pros: self service modelling and reporting, data size  Cons: performance, data integration Query
  • 27. PBI Service Data sources Live Query PBI Desktop Consumption by end users Reports ReportsDashboards Data Visualization  Pros: self service reporting, data size, performance, data integration, and real time, decoupling data sources  Cons: self modelling Model Query Analysis Services
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