Power BI by Lamees El-Ghazily.pptx
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The document provides an overview of Microsoft Power BI, a cloud-based business intelligence tool that helps organizations visualize and analyze data from various sources to enhance decision-making. It describes key components such as Power BI tenants, workspaces, and data connectors, as well as the process of data sourcing, transformation, report building, and dashboard creation. Additionally, it includes insights into the use of Power BI for market research, specifically a survey conducted at Cairo University.
Power BI by Lamees El-Ghazily.pptx
- 1. Microsoft Power BI Submitted by: ASSOC. PROF. DR. AHMED BAHGAT EL SEDDAWY Lamees Mahmoud El-Ghazoly ID: 21226930 Management Information System Data and information visualization
- 2. Introduction • Today, companies must react quickly to changing trends in the industry to spot and capitalize on new business opportunities. This calls for prompter decision-making, development cycles, and operations. 2 • Agility at every step is the need of the hour. Therefore, companies are pursuing new approaches integrating Big Data Analytics solutions, Business Intelligence, and DevOps to streamline their decision-making and delivery processes.
- 3. Microsoft Power BI • An innovative and well-established business reporting platform, cloud- based business intelligence tool that provides an organization with the necessary data visualization tool to aggregate, analyze and visualize data using various data sources. • It enables A Company to create and share interactive visual dashboards for making future-proof business decisions. 3
- 4. Power BI Career Opportunities & Job Trends 4
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- 6. 6 Power BI Tenant when a user logs into power BI for the first time, a new auto-generated power BI tenant is created based on the user’s email address. Similarly, an admin user can provision a power BI tenant for the organization. The power BI tenant is the main storage component for all the organization’s power BI objects. Power BI workspace the power BI workspace is a collaborative workspace for power BI users. It holds a collection of datasets, dashboards and reports for sharing. Report authors publish their artefacts to the power BI workspace and share them with the target audience. B u s in es s An alysts Develo p er Su b j ect Matter Ex p ert I T Profes s ion al Who Uses Power BI
- 9. Power BI Architecture 9 There are several components /steps that work together in power BI services to deliver the reporting solution. 9 The Power BI Gateway is a piece of software that you can install in your local environment that builds the bridge between local on premise data sources and the Power BI cloud service.
- 10. Power bi reports can be comprised of data from various data sources. These data sources can be either online or in an organization’s local data stores. The power BI service has its own inbuilt data connectors which allows easier connectivity to many common data source types, such as sql server, oracle, my sql & flat files, csv, excel and XML. There are other various connectors to source data from online websites, news feeds, saas services and social media. 1. Data sourcing/integration Power BI Architecture 10
- 11. To summarize it, you can connect with the following data sources using Power BI connectors: •Files (e.g. excel .xlsx, .pdf, .csv, .xml, .json) •Data Bases (e.g. MS SQL, Oracle, SAP HANA, PostgreSQL, MySQL, Amazon Redshift, Snowflake, others) •Folders (cloud-based e.g. SharePoint and locally-based) •Azure Services (Azure SQL Database, Azure Blob Storage, Azure Data Lake, others) •Online Services (e.g. Microsoft Exchange, Dynamics 365, Salesforce Objects, Google Analytics) •Other Sources (e.g. websites, OData feed, ODBC, Active Directory, others) •Indirect connection via other services (e.g. Microsoft Azure Data Factory) The data is processed and transformed with Power BI queries to the apparent data model. The data objects required to be a part of a Power BI report are created in the form of measures, calculated columns and parameters.
- 12. 3. Data Transformation • At this stage, imported data in the staging area may not be in a form that is suitable for reporting. it may be necessary to transform this unstructured data into a more structured and usable format. • The Inbuilt Power Query engine in Power BI Desktop provides a lot of transformation capabilities, such as: Removing duplicates Removing or renaming columns Replacing values with something else Building relationships Creating user defined hierarchies After sourcing and transforming data, report authors can build Power BI reports and dashboards. Two main tools which can be used to build reports in Power BI: 1) Power BI Desktop is a free tool available to download. 2) Power BI Service is an online tool that provides similar capabilities in report building. 11 2. Report Building
- 13. 12 5 . Creatin g Das h b oard s o Often the last step in building reporting content is creating dashboards. o Create Dashboards by pinning visuals from different reports or an entire report as a live page. o Power BI Dashboards get refreshed every 30 minutes unless you are allocated to a Power BI Premium capacity. There are two main areas where reports can be published: 1) My Workspace No one else can access reports published to My Workspace unless shared. It is a good testing area for report authors. 2) Other Authorised Workspaces This can act as a central repository for all authorised users to share their reports and collaborate. 4. Publishing Reports
- 16. Building Blocks of Power BI Visualization Data- Sets Reports Dashboard Tiles 16
- 18. Demo 18 Power BI Demo for Customer Survey- Cairo University, as a tool of market research for university students as a target segment for new business inside the University food court Implementing Power BI Create impactful reports faster
- 19. The following is a survey we conducted inside Cairo University to collect data for a client who wants to open a restaurant on the university campus.https://docs.google.com/forms/d/1rpCe0xetG11UcAMxjyR93rJvANm2Nhh7skZ zS5tPrCk/prefill 19
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- 22. Thank You 22