Criando indicadores de time com VSTS e POWER BI
•
1 gostou•680 visualizações
O documento discute como criar indicadores de equipe usando o Visual Studio Team Services (VSTS) e o Power BI. Ele explica como analisar dados no TFS on-premises e no VSTS e como o Power BI oferece uma nova maneira de trabalhar com dados de forma colaborativa na nuvem. O documento também inclui uma demonstração de como extrair dados do VSTS para o Power BI.
Recomendados
Recomendados
Mais conteúdo relacionado
Destaque
Destaque (16)
Semelhante a Criando indicadores de time com VSTS e POWER BI
Semelhante a Criando indicadores de time com VSTS e POWER BI (20)
Mais de Adriano Bertucci
Mais de Adriano Bertucci (14)
Criando indicadores de time com VSTS e POWER BI
- 2. Criando indicadores de time com VSTS e Power BI Adriano Bertucci TRILHA | PRÁTICAS E PROCESSOS @adrianobertucci /adrianobertucciMVP adrianobertucci.com
- 4. Tópicos • Objetivo • Mundo está mundando! • Relatórios no TFS 2015 on-premises • Relatórios no VSTS • Power BI • Demo
- 5. O mundo está mundando!
- 8. Analisando dados (on-premises TFS) TWA Excel Reporting Services Sharepoint
- 9. Analisando dados (on-premises TFS) TWA Excel Reporting Services Sharepoint
- 10. Analisando dados (on-premises TFS) TWA Excel Reporting Services Sharepoint
- 11. Analisando dados (on-premises TFS) TWA Excel Reporting Services Sharepoint
- 12. Analisando dados (on-premises TFS) TWA Excel Reporting Services Sharepoint
- 13. Analisando dados (on-premises TFS) TWA Excel Reporting Services Sharepoint
- 14. Acesso a dados (on-premises TFS) ACESSO TOTAL AOS DADOS
- 20. Analisando (VSTS) ACESSO TOTAL AOS DADOS
- 21. Desafios na analise de dados - ALM “Todos devem ter acesso aos dados que precisam.”
- 23. Uma nova maneira de trabalhar com dados Analisar Visualizar Descobrir Pesquise, acesse, e transforme fontes de dados públicas e internas com Power Query Modelagem de dados fácil e rápido com análise de dados em memória com Power Pivot Visualizações de dados interativas com Power View e Power Map Compartilhar Perguntar Q&A Mobilidade Dados em consultas de trabalho atualizável a partir de uma fonte de dados em nuvem. Pergunte em linguagem natual Acesso móvel em HTML5, otimizados para diversos aplicativos. Self-service business intelligence com o poder da nuvem
- 24. Analisando dados com Excel Descobrir Analisar Visualizar Explorar
- 25. Analisando dados com Excel Descobrir Analisar Visualizar Explorar
- 26. Analisando dados com Excel Descobrir Analisar Visualizar Explorar
- 27. Analisando dados com Excel Descobrir Analisar Visualizar Explorar
- 28. Colaboração com Power BI e Office 365 Shared Queries Data Refresh Data Search Mobile Access BI Sites Natural Language Questions
- 29. Colaboração com Power BI e Office 365 Shared Queries Data Refresh Data Search Mobile Access BI Sites Natural Language Questions
- 30. Colaboração com Power BI e Office 365 Power BI for Office 365 Data Management Gateway Installed on-premises Workbook Cloud On Premise Shared Queries Data Refresh Data Search Mobile Access BI Sites Natural Language Questions
- 31. Colaboração com Power BI e Office 365 Shared Queries Data Refresh Data Search Mobile Access BI Sites Natural Language Questions Busque por: • Dados públicos • Dados corporativos • Shared Queries
- 32. Colaboração com Power BI e Office 365 Shared Queries Data Refresh Data Search Mobile Access BI Sites Natural Language Questions
- 33. Colaboração com Power BI e Office 365 Shared Queries Data Refresh Data Search Mobile Access BI Sites Natural Language Questions
- 34. Demo • Extraindo dados do Visual Studio Team Service com Power BI
Notas do Editor
- Our Vision: Today only about 10% of an organization’s business users can do business analytics. We believe everyone should have easy access to the data they need to make informed decisions. That’s our goal. The challenge is that accessing and analyzing data can be a daunting task. Where does the data live? How do I access it and get it into the right format so that I can analyze it? To solve this problem we need to make data of all types much easier to find, access, analyze, and share. This is the path we’re on.
- SUGGESTED DEMO: Demo featuring Power Query, Power View, Power Pivot and Power Map in Excel 2013. Demonstrate stage two of data science process – making it possible for everyone to form theories, analyze and refine – to work with big and small data using familiar powerful tools. Ultimately revealing insights. DEMO ASSETS: BI Demo Catalog https://microsoft.sharepoint.com/teams/BIDemoCatalog/SitePages/BI%20Demo%20List.aspx Launch in a Box http://infopedia/Pages/EventMaterials.aspx > select ‘Demos’ on the left-hand sidebar SUGGESTED DEMO: Ensure you have logged in and navigated to your Power BI site and that the setup workbook (AW Sales Analysis Demo1) has been uploaded to the Power BI site. Show that the same features are available but the PowerView sheets (Salesperson Sales, Sales by Country) can be viewed in HTML5 (Link bottom right hand side) which is good for Mobile and Tablets
- SUGGESTED DEMO: Demo featuring Power Query, Power View, Power Pivot and Power Map in Excel 2013. Demonstrate stage two of data science process – making it possible for everyone to form theories, analyze and refine – to work with big and small data using familiar powerful tools. Ultimately revealing insights. DEMO ASSETS: BI Demo Catalog https://microsoft.sharepoint.com/teams/BIDemoCatalog/SitePages/BI%20Demo%20List.aspx Launch in a Box http://infopedia/Pages/EventMaterials.aspx > select ‘Demos’ on the left-hand sidebar SUGGESTED DEMO: Ensure you have logged in and navigated to your Power BI site and that the setup workbook (AW Sales Analysis Demo1) has been uploaded to the Power BI site. Show that the same features are available but the PowerView sheets (Salesperson Sales, Sales by Country) can be viewed in HTML5 (Link bottom right hand side) which is good for Mobile and Tablets
- Our Vision: Today only about 10% of an organization’s business users can do business analytics. We believe everyone should have easy access to the data they need to make informed decisions. That’s our goal. The challenge is that accessing and analyzing data can be a daunting task. Where does the data live? How do I access it and get it into the right format so that I can analyze it? To solve this problem we need to make data of all types much easier to find, access, analyze, and share. This is the path we’re on.