More than the overall Human population, trillions and zillions of data are generating every day. That information is securely stored in many platforms like servers, databases, cloud storage arenas, pocket mobiles, hard disks, etc. The information or data which is stored in the small storage devices can be effectively and successfully managed within a minimal effort in a short period. Imagine a scenario, the online shipping industry with 100 varieties of products will commodity with an enormous number of customers with specified data, such as login credentials, address details, product details, dealer details, delivery, and shipment details. Based on the logged details, the annual turnover, customer feedback, and reviews can be predicted effectively. For this entire flow of the process, every organization needs a Business Intelligence tool. In this way, many of the organizations are accessing and utilizing Microsoft’s Power BI. Let’s dig deeper into the data utilization and exploration using Power BI.

What is Power BI?

Power BI is a Business Intelligence and Data Visualization tool for converting data from various data sources into interactive dashboards and analysis reports. It offers cloud-based services for interactive visualizations with a simple interface for end-users to create their reports and dashboards. Different Power BI versions like Desktop, Service-based (SaaS), and mobile Power BI apps are used for other platforms.

Categories of Power BI tools

Some essential tools are the Power BI Desktop, Power BI Service, Power BI Report Server, Power BI Data Gateway, and Power BI Mobile Apps. The report server allows you to view reports and dashboards on the Power Bl Service Report Server. It can host paginated reports, KPIs, Mobile reports, & Power Bl Desktop reports.

Power BI effectively supports Data Utilization and Data exploration through connecting various data resources. Power BI has the feature to communicate with multiple data resources such as Excel, CSV, Databases in Cloud, Databases on-premises.

The table will excel in the effective management of Data using Power BI with Data sources.

Data Source Description Extension
Excel Data can be manually entered into a worksheet or queried and loaded from
external data sources.
.xlsx, .xlxm
CSV (Comma Separated Values) Simple text files with rows of data are known as files. Each row can have one
or more values that are separated by a comma.
.csv
Databases in Cloud It allows you to connect to Azure SQL Database, Azure SQL Data Warehouse,
and other Azure services in real-time.
On-premises SQL Server Analysis Services Relational model databases can be
accessed directly. It's necessary to have a Power BI Enterprise Gateway.

Once connected to the data resources, Power BI has the core features for Visualization and Analysis. Let’s check out the requirements,

  1. Visualization: Data visualization puts numbers to life, allowing you to become the master storyteller of hidden insights. Data visualization aids users in quickly and effectively developing meaningful business insight through live data dashboards, interactive reports, charts, graphs, and other visual representations.
  2. Dashboard:A Power BI dashboard is a single page, also known as a canvas, telling a story using visuals. A well-designed dashboard contains only the most relevant aspects of the tale because it is confined to one page.
  3. Reports: A Power BI report is a collection of visualizations on one or more pages. It can be built from the ground up, loaded into a dashboard, or built using datasets.

These are the pillars of the Power BI to explore, analyze, and visualize the data, which is structured, unstructured, semi-structured.

Summary

Data must answer business questions and be oriented toward company objectives; it must be a competitive advantage. Companies should develop the technology for working with data rather than the data itself. It’s always better to increase the productivity of 100 employees by 5% than to increase the productivity of one employee by 50%; to be effective, entire teams should be data-driven.