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![1. How much / how many?
2. Which category?
3. Which groups?
4. Is it weird?
5. Which action?
[algorithm]](https://image.slidesharecdn.com/dataanalyticsusingpowerbi-170405120945/85/Data-analytics-using-Power-BI-20-320.jpg)
![Which category?
Is this an image of a cat or
a dog?
Which aircraft is causing
this radar signature?
What is the topic of this
news article?
[classification]](https://image.slidesharecdn.com/dataanalyticsusingpowerbi-170405120945/85/Data-analytics-using-Power-BI-22-320.jpg)
![Diamonds
[prediction]](https://image.slidesharecdn.com/dataanalyticsusingpowerbi-170405120945/85/Data-analytics-using-Power-BI-38-320.jpg)
Uploaded byMing Man Chan
Data analytics using Power BI
This document provides an overview of Power BI and its capabilities for data analytics. Power BI allows users to analyze data and share insights across devices. It connects to various data sources and allows users to clean, transform and visualize data through reports and dashboards. Examples shown include visualizing diamond data and using algorithms for classification, prediction and other tasks. Power BI provides tools for business users to gain insights from metrics in a centralized location.
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Data analytics using Power BI
- 1. Data Analytics usingPower BI Ming Man MVP Visual Studio Technology
- 2. Objectives • Data Analysisvs Data Analytic • Date Science Process • Machine Learning • Power BI
- 4. Microsoft Data ScienceProcess
- 5. Power BI Power BIis a suite of business analytics tools to analyze data and share insights, with tools for business users to gain access to their most important metrics in a single location across all devices and platforms.
- 9. Building Block Associations DATA SOURCES REPORTSVISUALIZATIONS DEVICES DASHBOARDS
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- 17. Power BI canconnect to wide variety of data sources, including on-premises databases, Azure storage, Excel worksheets and a large number of 3rd party services. Getting Data • Clean and transform data with the Query Editor • Connect to advanced data sources and create transformations • “Massage” irregularly formatted data
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- 20. 1. How much/ how many? 2. Which category? 3. Which groups? 4. Is it weird? 5. Which action? [algorithm]
- 21. How much /how many? What will the temperature be next Tuesday? What will my fourth quarter sales in Portugal be? How many new followers will I get next week?
- 22. Which category? Is thisan image of a cat or a dog? Which aircraft is causing this radar signature? What is the topic of this news article? [classification]
- 23. Which groups? Which shoppershave similar tastes in produce? Which viewers like the same kind of movies? What is a natural way to break these documents into five topic groups?
- 24. Is this weird? Isthis pressure reading unusual? Is this internet message typical? Is this combination of purchases very different from what this customer has made in the past?
- 25. Which action? Should Iraise or lower the temperature? Should I vacuum the living room again or stay plugged in to my charging station? Should I brake or accelerate in response to that yellow light?
- 26. Visualizations Line, bar, pie,stacked Matrix/pivots Key performance Tree maps Geo and filled maps Slicers/filters Custom visualizations A visualization is a visual representation of data, such as a chart, graph, map, or other “visual” representations of data.
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- 47. Ways to useyour answer Make a web service (Azure Machine Learning) Make a decision Set a price Publish your code on GitHub Write a PDF showing your results Build a dash board (Power BI)
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Editor's Notes
- #6 Power BI can unify all of your organization’s data, whether in the cloud or on-premises. Using the Power BI gateways, you can connect SQL Server databases, Analysis Services models, and many other data sources to your same dashboards in Power BI. If you already have reporting portals or applications, you can embed Power BI reports and dashboards into web and app scenarios for a unified experience across any device or platform.
- #10 The basic building block for all Business Intelligence elements in Power BI begins with the data itself. Data from various sources is filtered, cleaned, and combined into Reports via Visualizations, and optionally published to Dashboards. Dashboard data is surfaced to users on any device, based on permissions and organization needs.
- #18 A primary goal of Microsoft Power BI is to enable report creators, managers, and stakeholders to connect to any data source necessary to create a unified experience that makes sense to audiences and viewers of the content. Along with full support for more typical, legacy systems such as an Excel spreadsheet or SQL Server database, Power BI can authenticate and access data across a wide variety of data sources via “Connectors”, including Azure, Oracle, or even external services such as Facebook, Salesforce, or MailChimp,
- #24 cluster
- #25 Reinforcement learning
- #27 Visualizations or “Visuals” are the end-result of any Business Intelligence effort. Ultimately, the aim is to access data, any data that makes sense in our organization, and present it to users in a meaningful, compelling, interactive, and insightful way. Power BI exposes a large number of out-of-the-box visualizations found in common Business Intelligence tools, such as numerous graphs, charts, maps, and filters, while also enabling visualization “extensibility” for creating organization-specific or scenario-specific custom visuals to be created by developers and power users.
- #53 Built into the Power BI experience is the ability for users to glean additional information “on-the-fly” via a natural language question and answer paradigm, as well as providing quick “insights” into a dashboard, report, or the associated data based on intelligent analysis of current datasets. Power BI makes it easy to access these features by keeping the front and center during the user experience.