[PowerBI] Primeiros Passos
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O documento apresenta uma introdução ao Power BI, definindo o que é Business Intelligence (BI) e Power BI, descrevendo as principais ferramentas do Power BI como Power BI Desktop, Power BI Service e a linguagem DAX. O documento também fornece referências adicionais para aprendizagem.
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[PowerBI] Primeiros Passos
- 1. Power BI Primeiros Passos Orlando Gomes - MSP
- 2. Sobre • Formado em Redes de Computadores - FIAP; • Graduando do 2º Ano de Engenharia Mecatrônica - FIAP; • Experiência em suporte a Microsoft SharePoint; • MSDN Tech Advisor; • MSP - Microsoft Student Partner; • Colunista no Blog da Comunidade MSP Brasileiros (http://mspinactionbrazil.com/).
- 3. Agenda O que é BI; Power BI; Principais Elementos; Power BI Desktop; Power BI Service; DAX; -Referencias.
- 4. The world of data is changing
- 5. O que é BI ? “Um termo genérico que inclui aplicações, infraestrutura, ferramentas e melhores práticas que permite o acesso e análise de informações para melhorar e otimizar decisões e desempenho“ -Gartner
- 6. Power BI “O Power BI é um conjunto de ferramentas de análise de negócios para analisar dados e compartilhar ideias. Com um clique, os usuários podem explorar os dados em seu painel usando ferramentas intuitivas que facilitam encontrar as respostas” -Google
- 7. Power BI Desktop • Aplicativo da Área de Trabalho; • Permite a criação de customização de relatórios; • Recebe atualizações mensais; • Integração com linguagem R; • Diferentes tipos de gráficos (também importáveis).
- 8. Power BI Desktop • Aplicativo da Área de Trabalho; • Permite a criação de customização de relatórios; • Recebe atualizações mensais; • Integração com linguagem R; • Diferentes tipos de gráficos (também importáveis);
- 9. Power BI Service • Serviço SaaS (Software as a Service); • Exibe o que é visto pelo usuário final; • Disponibilizado pelo Office 365 (http://app.powerbi.com); • Gerenciamento de Usuários e Grupos; • Compartilhamento de Relatórios (Apenas Licença Pró).
- 10. Principais Elementos Datasets: bases de dados, oriundos de fontes (também chamados de conectores) como abaixo:
- 11. Principais Elementos Relatórios: conjunto de visualizações, são vistos em uma ou mais páginas. Painel: conjunto de visuais, podem ser provindos de um ou mais relatórios. Bloco: parte do painel ou relatório, podem ser movimentados e dimensionados conforme necessidade. Pacote de Conteúdo: conjunto de relatórios que são disponibilizados a um grupo de pessoas.
- 12. DAX (Data Analysis Expression) • Linguagem amplamente usada em PowerPivot/Power BI / SSAS; • Usada para geração de formulas e criação de medidas e colunas para analises de negócio. Exemplos: Genero = IF('UK-Bank-Customers'[Gender]="Male";"Homem";"Mulher") SquaredBalance = 'UK-Bank-Customers'[Balance] * 'UK-Bank-Customers'[Balance]
- 13. Referencias • Data Stories Gallery: http://community.powerbi.com/t5/Data-Stories- Gallery/bd-p/DataStoriesGallery • Aprendizagem Orientada: https://powerbi.microsoft.com/pt- br/guided-learning/ • Votação de Recursos: https://ideas.powerbi.com/forums/265200- power-bi-ideas • Livro: The Definitive Guide to DAX.
Notas do Editor
- Big Data – the size, type, shape of data that business are analyze is changing. Data from sensors: RFID tags in manufacturing, or location data for company’s with large fleets. Data from social media like facebook, twitter, Linked-In – for analyzing the success of a marketing campaign or to assess customer sentiment or to gather feedback to help shape products or services. Public data – traffic or weather feeds, or data published from data.gov initiatives etc Being able to easily tap into these data sources from smarter analytics to drive business insight is a prevalent theme. Consumerization of IT – this is about choice. I as an individual want to work on the device of my choice. From wherever I want to work. This extends beyond devices to include apps and user experiences. I search for information all the time at home on the web, I want to have that same experience at the office. I’ll talk today about how we’re bringing these experiences to the world of data as well.
- Big Data – the size, type, shape of data that business are analyze is changing. Data from sensors: RFID tags in manufacturing, or location data for company’s with large fleets. Data from social media like facebook, twitter, Linked-In – for analyzing the success of a marketing campaign or to assess customer sentiment or to gather feedback to help shape products or services. Public data – traffic or weather feeds, or data published from data.gov initiatives etc Being able to easily tap into these data sources from smarter analytics to drive business insight is a prevalent theme. Consumerization of IT – this is about choice. I as an individual want to work on the device of my choice. From wherever I want to work. This extends beyond devices to include apps and user experiences. I search for information all the time at home on the web, I want to have that same experience at the office. I’ll talk today about how we’re bringing these experiences to the world of data as well.
- Big Data – the size, type, shape of data that business are analyze is changing. Data from sensors: RFID tags in manufacturing, or location data for company’s with large fleets. Data from social media like facebook, twitter, Linked-In – for analyzing the success of a marketing campaign or to assess customer sentiment or to gather feedback to help shape products or services. Public data – traffic or weather feeds, or data published from data.gov initiatives etc Being able to easily tap into these data sources from smarter analytics to drive business insight is a prevalent theme. Consumerization of IT – this is about choice. I as an individual want to work on the device of my choice. From wherever I want to work. This extends beyond devices to include apps and user experiences. I search for information all the time at home on the web, I want to have that same experience at the office. I’ll talk today about how we’re bringing these experiences to the world of data as well.
- Big Data – the size, type, shape of data that business are analyze is changing. Data from sensors: RFID tags in manufacturing, or location data for company’s with large fleets. Data from social media like facebook, twitter, Linked-In – for analyzing the success of a marketing campaign or to assess customer sentiment or to gather feedback to help shape products or services. Public data – traffic or weather feeds, or data published from data.gov initiatives etc Being able to easily tap into these data sources from smarter analytics to drive business insight is a prevalent theme. Consumerization of IT – this is about choice. I as an individual want to work on the device of my choice. From wherever I want to work. This extends beyond devices to include apps and user experiences. I search for information all the time at home on the web, I want to have that same experience at the office. I’ll talk today about how we’re bringing these experiences to the world of data as well.
- Big Data – the size, type, shape of data that business are analyze is changing. Data from sensors: RFID tags in manufacturing, or location data for company’s with large fleets. Data from social media like facebook, twitter, Linked-In – for analyzing the success of a marketing campaign or to assess customer sentiment or to gather feedback to help shape products or services. Public data – traffic or weather feeds, or data published from data.gov initiatives etc Being able to easily tap into these data sources from smarter analytics to drive business insight is a prevalent theme. Consumerization of IT – this is about choice. I as an individual want to work on the device of my choice. From wherever I want to work. This extends beyond devices to include apps and user experiences. I search for information all the time at home on the web, I want to have that same experience at the office. I’ll talk today about how we’re bringing these experiences to the world of data as well.
- Big Data – the size, type, shape of data that business are analyze is changing. Data from sensors: RFID tags in manufacturing, or location data for company’s with large fleets. Data from social media like facebook, twitter, Linked-In – for analyzing the success of a marketing campaign or to assess customer sentiment or to gather feedback to help shape products or services. Public data – traffic or weather feeds, or data published from data.gov initiatives etc Being able to easily tap into these data sources from smarter analytics to drive business insight is a prevalent theme. Consumerization of IT – this is about choice. I as an individual want to work on the device of my choice. From wherever I want to work. This extends beyond devices to include apps and user experiences. I search for information all the time at home on the web, I want to have that same experience at the office. I’ll talk today about how we’re bringing these experiences to the world of data as well.
- Big Data – the size, type, shape of data that business are analyze is changing. Data from sensors: RFID tags in manufacturing, or location data for company’s with large fleets. Data from social media like facebook, twitter, Linked-In – for analyzing the success of a marketing campaign or to assess customer sentiment or to gather feedback to help shape products or services. Public data – traffic or weather feeds, or data published from data.gov initiatives etc Being able to easily tap into these data sources from smarter analytics to drive business insight is a prevalent theme. Consumerization of IT – this is about choice. I as an individual want to work on the device of my choice. From wherever I want to work. This extends beyond devices to include apps and user experiences. I search for information all the time at home on the web, I want to have that same experience at the office. I’ll talk today about how we’re bringing these experiences to the world of data as well.
- Big Data – the size, type, shape of data that business are analyze is changing. Data from sensors: RFID tags in manufacturing, or location data for company’s with large fleets. Data from social media like facebook, twitter, Linked-In – for analyzing the success of a marketing campaign or to assess customer sentiment or to gather feedback to help shape products or services. Public data – traffic or weather feeds, or data published from data.gov initiatives etc Being able to easily tap into these data sources from smarter analytics to drive business insight is a prevalent theme. Consumerization of IT – this is about choice. I as an individual want to work on the device of my choice. From wherever I want to work. This extends beyond devices to include apps and user experiences. I search for information all the time at home on the web, I want to have that same experience at the office. I’ll talk today about how we’re bringing these experiences to the world of data as well.
- Big Data – the size, type, shape of data that business are analyze is changing. Data from sensors: RFID tags in manufacturing, or location data for company’s with large fleets. Data from social media like facebook, twitter, Linked-In – for analyzing the success of a marketing campaign or to assess customer sentiment or to gather feedback to help shape products or services. Public data – traffic or weather feeds, or data published from data.gov initiatives etc Being able to easily tap into these data sources from smarter analytics to drive business insight is a prevalent theme. Consumerization of IT – this is about choice. I as an individual want to work on the device of my choice. From wherever I want to work. This extends beyond devices to include apps and user experiences. I search for information all the time at home on the web, I want to have that same experience at the office. I’ll talk today about how we’re bringing these experiences to the world of data as well.
- Big Data – the size, type, shape of data that business are analyze is changing. Data from sensors: RFID tags in manufacturing, or location data for company’s with large fleets. Data from social media like facebook, twitter, Linked-In – for analyzing the success of a marketing campaign or to assess customer sentiment or to gather feedback to help shape products or services. Public data – traffic or weather feeds, or data published from data.gov initiatives etc Being able to easily tap into these data sources from smarter analytics to drive business insight is a prevalent theme. Consumerization of IT – this is about choice. I as an individual want to work on the device of my choice. From wherever I want to work. This extends beyond devices to include apps and user experiences. I search for information all the time at home on the web, I want to have that same experience at the office. I’ll talk today about how we’re bringing these experiences to the world of data as well.
- Big Data – the size, type, shape of data that business are analyze is changing. Data from sensors: RFID tags in manufacturing, or location data for company’s with large fleets. Data from social media like facebook, twitter, Linked-In – for analyzing the success of a marketing campaign or to assess customer sentiment or to gather feedback to help shape products or services. Public data – traffic or weather feeds, or data published from data.gov initiatives etc Being able to easily tap into these data sources from smarter analytics to drive business insight is a prevalent theme. Consumerization of IT – this is about choice. I as an individual want to work on the device of my choice. From wherever I want to work. This extends beyond devices to include apps and user experiences. I search for information all the time at home on the web, I want to have that same experience at the office. I’ll talk today about how we’re bringing these experiences to the world of data as well.
- Big Data – the size, type, shape of data that business are analyze is changing. Data from sensors: RFID tags in manufacturing, or location data for company’s with large fleets. Data from social media like facebook, twitter, Linked-In – for analyzing the success of a marketing campaign or to assess customer sentiment or to gather feedback to help shape products or services. Public data – traffic or weather feeds, or data published from data.gov initiatives etc Being able to easily tap into these data sources from smarter analytics to drive business insight is a prevalent theme. Consumerization of IT – this is about choice. I as an individual want to work on the device of my choice. From wherever I want to work. This extends beyond devices to include apps and user experiences. I search for information all the time at home on the web, I want to have that same experience at the office. I’ll talk today about how we’re bringing these experiences to the world of data as well.
- 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