Power BI

Microsoft Power BI is a technology which processes the data analysis and provides practicable data that helps managers, workers, and executive to make informed decisions. This kind of platform provides non- technical business users with implements for convergence, conceive, analysis, and sharing data.

Now let’s see the uses of Power BI are: –

• Microsoft Power BI amalgamates operation analytics and self-services.
• It stimulates big data preparation with Azure (an open and flexible platform for cloud computing).
• It quickly searches the answers with companies in leading AI.
• It enhances print efficiency and the Authority of Power BI content.
• It helps in making attractive dashboards just to clarify the newest trend and circulate the tactics for the development of the company.
• This course gives a planned and functional understanding for the company along with presenting data in a visual form.

• Power BI Desktop: It is a free application that can be installed in the local computers that make sure you connect, transfigure, or conceive your data. With the help of Power BI desktop, one can associate with different various sources of data and compose them into structured data.
• Power BI service: A Power BI service is software in the form of SaaS. It can be also termed as Power BI online. To get the access to Power BI services, one needs to log in to it. Power BI services give you access to connect to the data, generate reports and dashboards, and to ask questions regarding your data.
• Power BI mobile : Power BI grants a collection of mobile apps for iOS, Windows 10, and android. Through these mobile apps, one can connect to cloud data.

Since Power BI is so versatile and packed with useful features, professionals in many different roles use it, including:

• Administrators
• Professionals (accountants, sales professionals, marketers)
• Designers
• Developers

• It’s easy to use
• It lets you access over 70 data connectors
• It’s one of the most cost-effective, inexpensive solutions available
• It offers interactive visual dashboards
• It is easily accessible from anywhere
• It provides data sharing and collaboration
• It supports natural language search

Microsoft has added a number of data analytics features to Power BI since its inception, and continues to do so. Some of the most important features include:

• Artificial Intelligence -- Users can access image recognition and text analytics in Power BI, create machine learning models using automated machine learning capabilities and integrate with Azure Machine Learning.
• Hybrid deployment support -- This feature provides built-in connectors that allow Power BI tools to connect with a number of different data sources from Microsoft, Salesforce and other vendors.
• Quick Insights -- This feature allows users to create subsets of data and automatically apply analytics to that information.
• Common data model support -- Power BI's support for the common data model allows the use of a standardized and extensible collection of data schemas (entities, attributes and relationships).
• Cortana integration-- This feature, which is especially popular on mobile devices, allows users to verbally query data using natural language and access results, using Cortana, Microsoft's digital assistant.
• Customization -- This feature allows developers to change the appearance of default visualization and reporting tools and import new tools into the platform.
• APIs for integration -- This feature provides developers with sample code and application performance interfaces (APIs) for embedding the Power BI dashboard in other software products.
• Self-service data prep -- Using Power Query, business analysts can ingest, transform, integrate and enrich big data into the Power BI web service. Ingested data can be shared across multiple Power BI models, reports and dashboards.
• Modeling view -- This allows users to divide complex data models by subject area into separate diagrams, multiselect objects and set common properties, view and modify properties in the properties pane, and set display folders for simpler consumption of complex data models.