Defining project
In this step the
project title and basic abstract should be defined so that required datasets
can be imported depending upon the project For Example If my project is “Best
IPL Players of 2022” I need a dataset of IPL 2022
Connecting data sources
In this step the
data source should be connected to Power Bi and the data in the dataset is to
be loaded for further operations over data
Data transformation
Once the data is
connected to Power BI Desktop, the next step is to transform the data based on
the business requirements. In data transformation, we define the relationship
between different variables, remove redundancies, add default values, and
create new columns through calculated fields.
Data visualization
This stage is to
convert the transformed data into graphical representations such as charts,
graphs, maps, etc. Data visualization makes it easier for a user to
comprehend complex numbers and use them to make informed decisions. In Power
BI, you can create stunning visualizations with simple drag-n-drop features.
Building the dashboard or reports
The last step in
your project is to assemble all visualizations on a single interface like
tiles. A single page of visualizations is known as a dashboard, while multiple
pages are eligible to create a report. These reports and dashboards are now
ready to be published and shared with other users via the Power BI service.
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