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*Gartner “Magic Quadrant for Analytics and Business Intelligence Platforms,” by Cindi Howson, James Richardson, Rita Sallam, Austin Kronz, 11 February 2019
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 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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