Introduction to Microsoft Power BI

Editor's Notes

• #3: Introduce Sami
• #4: Key message: in this workshop we will cover the breath of Power BI capabilities. After analyzing and visualizing the dataset provided in the workshop, you will use these skills to get started on your own data.
• #7: Key message: Dashboard in a Day is a hands-on workshop for Business Analysts, covering the breadth of Power BI capabilities. During the day attendees will be working to build a set of Reports and a Dashboard. The view you see here is the end result that students will be building during the day
• #8: Every industry is undergoing a fundamental transformation. In the future all companies will be digital companies – not only building products, but services to capture new business opportunities and engage with customers differently to meet their evolving expectations. To disrupt and innovate, organizations must take on a strategy that connects their customers, employees, products and operations as effectively as possible. Streamlining their business so: Customers have ideal experiences Employees are empowered to do their best Operations can ensure effectiveness and efficiency across the business And that the best products and services are being developed and delivered Organizations have focused on those 4 core areas for a long time. Digital transformation is happening across those 4 areas <Click>
• #9: But if you ask people what is digital transformation you will get different answers. So Microsoft created this framework called digital feedback loop to highlight how digital transformation is enabled. And at the center is data. Data is coming out of everything. Every single product at this point is being wired up with telemetry and the ability to collect data – for example, my thermostat at my house knows when I'm changing my temperature. Every motor that's manufactured at this point is emitting telemetry. Every time I browse the web there's telemetry being created. And so this torrent of information allows us to better understand our customers, our operations, the use of our products and services is fuel for this transformation…. <click> ….which then allows us to go mine for intelligence, predict what customers may need, understand when a piece of equipment is on its way to a challenging spot or to a failure before it gets there. <click> Taking all of this information, these predictions, and then feeding that back into your business processes, this is where the change is occurring.
• #10: USE AS OPTIONAL The digital feedback loop concept across your core business processes is ultimately what enables the transformation. It allows you, to change your business, to change your processes and ultimately transform your industry. <click>
• #11: When it comes to analytic tools and solutions, it’s important to know what’s out there and to leverage solutions that work with Power BI to support better and faster decision making. As such, we’d like to introduce you to the Microsoft Power platform. It is a system that enables users to do three key actions on data that help them drive the business: Analyze | Make sense of your data through interactive, real-time dashboards and unlock the insights needed to drive your business forward Act | Build apps in hours—not months—that easily connect to data, use Excel-like expressions to add logic, and run on the web, iOS, and Android devices Automate | Include powerful workflow automation directly in your apps with a no-code approach that connects to hundreds of popular apps and services You do this with Power BI, PowerApps, and Flow, all working together on top of your data to help EVERYONE, from the CEO to the front-line workers, drive the business decision with data. Its’s one connected platform that empowers everyone to innovate.
• #12: The way business intelligence is used in organization has changed significantly over the years. One way of understanding these changes is using the analogy of these three waves of BI: In the early days of BI, organizations would typically have a team or person handling all the requests for insights from the business. This model is not very scalable, and it can take a long time for the answer to get back to the user. By the time it does, a new question probably has already come up. To solve for this lack of scalability and gap between BI team and end users, the second approach to BI was to get BI capabilities in the hands of analysts, who understand the business and can support decisions with analytics. With Power BI, we want to enable everyone in the organization to analyze their data, ask the questions will help them run their business better, and act based on the insights they find.
• #13: Microsoft 2016
• #14: Power BI adheres to lots international and regional compliance certifications and attestations, privacy and data protection policies and processes, data transfer and location policies, and security features and functionality. Learn more about all Power BI certifications and attestations in the Microsoft Trust Center (https://www.microsoft.com/en-us/trustcenter/compliance/complianceofferings?product=PowerBI)
• #15: I like to keep a pulse on the tech landscape. As a developer, my value comes from my skills, so its good to know how it stacks up against other technologies. And that the trend doesn’t appear to be slowing down.
• #16: That’s enough big picture. Lets bring it back. If we want to deliver on this vision, the best place to start, is the end user’s needs. It turns out that end users needs 6 things: Access to data: the ability to easily connect to data that lives in different systems and locations. Clean data: The data does not usually come in the required form, errors and inconsistency can be found in the data. End users need an easy way to clean the data and model it in a format that is optimized for their reporting. Mash-up data: Users need to combine data from multiple data sources in order to produce the reports that they need. They need an easy way to connect data from multiple data sources and mash it up together Explore: Then once they do all this users need an easy way to explore that data, drill-down, slice and dice ,and find the insights and hidden trends in the data. Visualize: Once they identify the insights, they need to be able to Visualize that data so that is easy to share those insights with other users. As we usually say a picture is worth a 1000 words. Share: Finally, they need an easy way to share these insights with other users. Once the data is shared with others, the same process starts again for that user, where he/she might want to add sources, look at the data form a different perspective, ask new or different questions. Iterate and innovate
• #17: Key message: Power BI connects to a variety of data sources, enabling you to view and explore data from hybrid sources in a single location. Talking points: The Power BI Get Data feature lets you quickly and easily connect to all your data This includes a range of both cloud sources, on premises sources and specific data files —from the SaaS solutions you already use to your organization’s on-premises data Many sources have been integrated with Power BI, connecting in minutes with pre-built dashboards and reports For the first time, you can easily get a consolidated view of your data, no matter where the data actually lives
• #18: Power BI provides powerful capabilities that allow users to shape, transform, and clean their data for analysis. Data is rarely in the right format for analysis and a self-service business analysis tool must provide the flexibility to transform and clean data before it can be properly analyzed. Power BI provides these capabilities as an integrated part of the data preparation experience, enabling more flexible, and ultimately a faster, experience for business analysts to work with data and build reports. Power BI provide one of the industries leading modeling experiences, for joining this data from multiple data sources together across different types and sources, for analysis and for creation of custom calculations and measures. We provide business analyst with a complete range of modeling capabilities. OLAP building capabilities Power BI Desktop enables extensive data analysis, enabling you to produce rich data models using formulas and relationships Automatically create a model simply by importing data Power BI Desktop detects relationships automatically, categorizes data and applies default summarization Refine models to enable complex calculations Identify relationships between datasets from a variety of sources Create relationships between tables manually or using the AutoDetect feature Desktop’s AutoDetect feature accelerates your analysis Adjust relationship type (one-to-one, many-to-many or many-to-one) and cross-filter data for specific insights Define calculations – known as measures – to generate new fields for use in reports. Measures create new information from existing data already in your model Measures are used in some of the most common data analysis; for example, sums, averages, minimum or maximum values, counts, or more advanced calculations you create yourself using a DAX formula. The calculated results of measures are always changing in response to your interaction with your reports, allowing for fast and dynamic ad-hoc data exploration You can use automatically generated measures, or create custom measures with Data Analysis Expressions (DAX) formulas This helps you enrich your data model Produce exactly the results you need using the DAX library of 200+ formula elements Use DAX library to create calculated tables too… Develop advanced analytics using a combination of measures and relationships Uncover correlations, highlight exceptions and understand business outcomes
• #19: Explore data in a variety of ways and across multiple visualizations Select data elements and sort data Filter data, leveraging cross-filter capability Drill into and across datasets Pivot and slice data Change visualization types Quick Insights - providing a new ways to help users find hidden insights in their data. The new Quick Insights feature allows users to automatically scan and detect patterns and trends in the data that they publish to Power BI. Through a partnership with Microsoft Research, the Quick Insights feature uses a growing list of algorithms to automatically discover and visualize correlations, outliers, trends, seasonality, change points in trends, and other factors in your data in seconds. Natural Language Interface - With Power BI we continue to find new ways to simplify how people analyze and gain insight from data, providing industry leading features such as natural language query. Natural language query provides users with an easier way to interact with their data, allowing them to type questions of their data and receive answers in the form of live visualizations.
• #20: You can experiment with visualizing data in different ways, enabling previously inaccessible business insights Select from a growing number of visualization types different chart types Use visualizations that go beyond standard charts – such as slicers, maps, tiles, stand alone images and others Cross-filter across visualizations within a report to surface new insights We’re also enabling developers to easily add custom visuals into Power BI for use in dashboard, reports and content packs. To help you get started, we’ve published the code for all of our visualizations to GitHub. Along with the visualization framework, we’ve provided our test suite and tooling to help the community build high quality custom visuals for Power BI. All of this is available as an open source project on GitHub. You can also visit www.powerbi.com/visuals to visit our community authored visuals gallery , download visuals and get started.
• #21: Once you are ready to publish your report and the visualizations within it, you can surface it to a broader audience by publishing to the Power BI service This enables you to give Power BI users access to richer data models and reports than they could create on their own Cross-platform, native mobile apps. In addition to its rich Web client, there are native Windows, iPhone, iPad and Android apps that keep mobile users connected with their data, wherever they may be. Team collaboration is enhanced with Power BI integrated with Office 365. Create Office 365 Groups so that only the members of the group can view and edit specific reports and dashboards. Navigate from Power BI to any of the other Office 365 workloads as you view conversations, documents, notes etc all in the context of your work group. Power BI premium provides a flexible content distribution model, empowering a broader set of people with read access to critical intelligence without requiring per user licensing. To distribute content to these readers, a Pro user simply assigns workspaces to Premium capacity and publish Power BI apps to these workspaces. Readers throughout the organization can just consume these apps without having to have a per user license. Finally one can embed Power BI visuals in websites and blogs for public anonymous access. This will allow enterprises to tell public facing data stories with ease .