We live in a data-driven world where Business and Data Analytics is a trending science. Analytics is concerned with the discovery, interpretation, and processing of data. However, data and Business Analysts have many tools to select, and determining the ideal option for a particular project can be difficult.
The Power BI tool is a set of tools, data connectors, and software services used to acquire data from many sources, process it, and generate usable reports. It’s a software framework developed by Microsoft.
This power BI tutorial will help you choose the right tools for business management.
In this power BI tutorial, we will first understand BI Basics.
Business Intelligence is a tech-driven methodology for analyzing and providing meaningful data to facilitate corporate leaders, business professionals, and other users to make the right business choices.
Power BI is a Data Visualization and Business Intelligence tool for processing data from data sources into engaging dashboards and analysis reports. Power BI offers cloud-based services for attractive visualizations with a simple interface for end-users to create reports and dashboards.
Power BI learn versions like Desktop, SaaS, and mobile Power BI applications are used for many platforms. It offers a wide range of software interfaces and Business Intelligence services.
Power BI is an overarching term that encompasses various distinct types of services.
Further, in this power BI tutorial for beginners, let us understand a few things related to why Power BI is an essential tool for businesses and why we need it.
Now, in this power BI tutorial, we will know different types of Power BI tools.
Power BI desktop is Power BI’s principal composition and distribution tool. Professionals and power users leverage it to build entirely new models and BI reports.
Costs: No cost
Power BI data models, reports, and dashboards are hosted online via SaaS. Administration, sharing, and collaboration all take place on the cloud.
Pro license: $10/user/month
Power BI Data Gateway serves as a connection point between the Service and on-premise data sources like Import, DirectQuery, and Live Query. BI Admin sets it up.
It can host KPIs and mobile and Desktop reports. The IT department implements and manages it and updates it every four months. Users can make changes to reports and other BI reports made by the development team.
The Power BI mobile application is available for Android, iOS, and Windows devices. Microsoft Intune CAN be used to manage it. This tool lets you view reports and dashboards from the Service Report Server.
In this power BI tutorial, we will comprehend different data connections to get information.
You can retrieve information for Power BI from several data sources. You can link to data files on your Excel files, local system, Facebook, Azure SQL Database, Power BI datasets, Google Analytics, and more.
You can use online services, gateways, direct connections, and other methods to link to cloud-based and on-premises data sources. Below are some most used data sources.
| A visual representation of the data used to achieve one or more objectives. It displays
information on a single screen. It notifies users of administrative, efficiency, and personal
| A dataset is something to which you can connect or import. Renaming, refreshing,
removing, and exploring datasets can be done.
| The dashboard is a set of zero or more modules and widgets. It represents a personalized
perspective of a segment of the core datasets.
| A Power BI report consists of one or more pages of visualizations. It can be built from the
base, loaded into a dashboard, or built with datasets.
| It is a single visualization found in a report or on a dashboard box containing all of the
Businesses have to work with the various data originating from multiple sources, which can be in different formats. The data should be retrieved from a source, which might be servers or databases. This data is consolidated into a standard format in a staging point.
The consolidated data is processed for visualization. For example, repetitive and incomplete values will be deleted from the data set.
Once the data has been imported and processed, it can be visualized more effectively using the different visualization tools available in Power BI. The use of dashboards and reports allows for more comprehensible data representation. This graphic report assists business end-users in making the right business decisions.
Power BI is a Microsoft Business Intelligence and data mining software package that includes several services. These services have a specific purpose and coordinate to ensure that Power BI functions as a whole.
In this part of the Power BI tutorial, we will understand the components of power BI and their uses.
Power Query is a service that enables users to access, search, and manipulate data from various data sources.
This provides various tools for visually representing and analyzing data.
This gives tools to model data extracted from the in-memory data source to use it for analysis.
Power Map includes tools for displaying geographical data and information in a 3D model on a map. These maps are used in a Power BI report.
Power BI Desktop is a tool that works in tandem with Power Query, Power View, and Power Pivot. In Power BI Desktop, import data from a data source, analyze and convert it, and then utilize it in visualizations to produce reports.
The Power Service allows users to share spreadsheets and data views with other users. The data is updated regularly from cloud-based or on-premises data sources.
An online platform for viewing and sharing Power BI apps or solutions. Using BI Website, you can make dashboards from reports, share them with other users, and segment data inside a report.
With the Power Q&A option, search for data or uncover insights by using natural language queries. It recognizes your inquiry promptly and offers relevant answers.
Through mobile hosted Power BI instances, business users see and engage with reports and dashboards published on a cloud service. The Power BI mobile apps are compatible with Android, iOS, and Windows devices.
The Data Catalog option allows you to search and reuse searches.
This component handles data updates regularly and data feed reading.
In this power BI tutorial, we will now comprehend the Dax function.
DAX is a mathematical expression language also known as a functional language. The entire code is contained within a function that can be utilized with various visualization tools such as Power BI. Data types in DAX programming formulae include Numeric and Other. Each is related to the other by having shared columns.
Power BI can be used in three things:
Explore all these Power BI examples and understand how DAX functions work.
Calculated columns help you make new columns depending on the information.
For example, there is no ‘Last price’ column in the Goods table. In this, the DAX function calculates a new column when the last price & quantity are given.
Price = List_Goods[MRP]*List_Goods[Qty]
In this Power BI example, now each row will have the calculated price.
You can do a calculation using the measure function without adding data. This is useful for reports where the price can be shown without needing a new column to keep it.
Total of the maximum retail price column * Quantity column
DAX functions in table format returns the tables. For example, To get a list of all the clients from different countries. Use the function:
countries = DISTINCT(Client [City])
Some Important DAX functions are:
Average function allows you to calculate the average from a set of values.
AvgCommission = AVERAGE(List_Goods[Price])
Get the maximum value from a set of values.
Example – Find out the highest price.
HighestSale = MAX(List_Goods[Price])
Get the minimum value from a set of values.
Example – Find the lowest price.
LowestSale = MIN(List_Goods[Price])
Count the numerical data.
Example – Count the number of passes sold.
PassValue = COUNT(Invoice[Pass])
Use to join values in calculated columns.
Example – Concatenate the Product names and selling prices will give a code for all the price points.
ProductMrp = CONCATENATE(List_Goods[Good], List_Goods[MRP])
Used to calculate the sum from the beginning of the Year to the given date. It calculates based on a calendar year.
Example – Calculate total sales for the selling price column.
CumiSale = TOTALYTD(SUM(List_Goods[Price]),Invoice[Date])
Here are some of the advantages of using Power BI:
In this Power BI tutorial, we have read Power BI is a Business Intelligence application that allows you to create innovative reports and dashboards for improved decision-making. We have also comprehended Business Intelligence and its significance, how Power BI works, and firms that use power BI basics for getting visual insights. We hope this blog has helped you lay a solid foundation for the Power BI tool. This software offers enterprise-grade analytics, smart tools, and secure data. Your business deserves a stronger supply chain and enriched retail execution.
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