Microsoft Power BI – Best Data Analytics Software

Description

Microsoft power bi is an business Analytics tool used to transformraw data into meaningful insights for individual and the organisation.

This visualisations can be shown with interactive dashboard reports. power bi is mostly used business intelligence tools for data visualisation and interactions.

How to work in Microsoft Power bi

1. Create raw data to structured data file format.
2. Import data into the power bi desktop.
3. Create a data model using the existing tables from the data.
4. Create power bi visualisations through the data.
5. Save the power bi file.
6. Create power bi a workspace if not exist.
7. Publish the report on the power bi service which selection of the works any required workspace.
8. Publish the report on the power bi apps if required.

Important components of the Microsoft Power BI

1. Power BI Desktop : Power BI desktop is used to create power bi reports and dashboards on your local desktop.
2. Power BI service : Power bi service consists of reporting server and workspaces on which we publish the reports. With power bi service we can on the fly create new reports, edit new reports and create dashboards
3. Power BI Mobile : Power bi also offers a solution for to be display on mobile so you can access you are reports on the mobile.
4. Power BI gateway : Power bi gateway is used to runtime data visualisation in the reports. we can connect reports time data sources the power bi gateways.
5. Power BI Apps : Power bi apps is used to display power bi reports and dashboards to the end users.
6. Power BI report server : Power bi service is one kind of server where can publish the reports online end users can check the reports online wit the links.

Features of Microsoft Power BI

Data connectivity

1. Direct Query :  It allows users to connect huge data set to the power bi without importing data and provide real time data analysis with data residing in external resources.
2. Inbuilt Data Connectors : Power bi has plenty of inbuilt data connectors with which users can connect data with the popular services like Microsoft Azure, Microsoft Excel, SQL server, Salesforce and many more.
3. Custom Data Connectors : Users can create custom data connectors to connect with proprietary or neech data sources.

Data transformation :

We can do data transformation in the power BI with power query which is same like the Microsoft Excel. in power query we can help of front manipulation functions which are inbuilt in the power query.

Data Modelling :

We can do data modelling in the power bi to get centralised data which are connecting Which are which are imported from the different source.We can perform task like joining the tables, relationships, hierarchies, calculated columns and that’s queries for calculated measures and kpis. In Power BI data modelling support star and snowflake schema.

Data Visualisation :

In power bi we have 30 plus inbuilt data visualisation like bar chart, pie chart, column chart, Line chart etc.

We can also get custom visuals the Microsoft app source. Power bi provides robust and highly interactive reports with features of drill down, tool tips and slicers.

Pricing :

1. Power bi desktop : Power Bi desktop comes with solution to create the reports
2. Power bi pro : Power bi pro has charges $10 /User/Month. power bi pro has advantage that full collaboration and sharing feature.
3. Power bi premium : Power bi premium hack charges $20 /user/month. This plan can have advanced AI, paginated reports and larger data models

Pros :

• Affordable in pricing than other visualisation tools.
• Seamless service as it is in the Microsoft ecosystem.
• Strong community and documentation
• Plenty of options available for visuals and templates.
• The best dax engine for data modelling.
• Regular update from Microsoft power bi

Cons :

• Performance may be slow down with large data models.
• custom visual charts sometimes looks cluttered.