PowerBI: Introduction of a Visualization Tool
By: Amit Chauhan
Tags: Visualization, Data Visualization, Data Analysis, Data Science, Programming

PowerBI: Introduction of a Visualization Tool

Your Business Intelligence for all data analysis

Photo by William Iven on Unsplash

PowerBI Introduction

Data analysis becomes the most popular work happening around the globe. To increase the growth of a business, data plays a significant role. Playing with data is common among Data scientists role, Artificial Intelligence, Machine Learning to visualize the information in the data.

Business growth comes with a descriptive analysis of the data related to sales, finance, and success rate. It needs a strong statistic to analyze all the performances that happened in the past.

For such analysis, some tools are developed by different companies to do an analysis and make visualization through charts and graphs.

The Discovery of patterns in the data is very much important. In short, analytics is transforming data into visual insights to make business growth decisions.

The best analytic tool in trend is PowerBI. Power BI is a business intelligence tool that will help to analyze the data, clean the data, and converting that data into visual formats. PowerBI is developed by Microsoft Corporation with an initial release in 2014.

There are more alternative tools apart from PowerBI. Some are:

1. Looker — data analysis with SQL patterns — founded in 2012.

2. Tableau — data visualization tool — founded in 2003.

3. Qlik Sense — data discovery and analysis tool — founded in 2014

4. Sisense — agile BI — data analysis tool — founded in 2004

5. Domo — Cloud-based data analysis tool — founded in 2010

6. IBM Cognos Analytics — Web-based BI suite to extract data, analyze it, and to make reports.

Why PowerBI is famous among all BI tools. It has more number of visualization graphs and charts. Business people can make reports and dashboards with PowerBI.

PowerBI is a collection of tools mainly consist of:

Power Query — it is an ETL tool — it is for cleaning the data and load the data.

— it is an ETL tool — it is for cleaning the data and load the data. Power Pivot — it is used for data modeling. Creating a relationship between different data sources.

— it is used for data modeling. Creating a relationship between different data sources. Power View — it is used for visualization. It can create more than 250+ different types of charts.

— it is used for visualization. It can create more than 250+ different types of charts. Power BI Service –this service users to share the reports with other users.

If we search PowerBI on the google trend website over 5 years, we can easily observe the volume search for powerBI.

Photo from Google Trends

People search PowerBI more because of its maximum features in the tool from data ETL for creating a dashboard. Among other tools, the cost of PowerBI is the cheapest.

PowerBI offers 90+ data connectors to connect the data sources.

Examples:

CSV, Excel, pdf, SQL, MS Access, Outlook, websites, and many more.

It can pull the data from structured, semi-structured, and unstructured data sources in PowerBI. PowerBI is a complete automated package for data cleaning, data modeling, creating reports, and visualization.