Revolutionary Impact Of Power BI On Business Intelligence

Written by Manish Bhardia

January 29, 2021

Revolutionary Impact Of Power BI On Business Intelligence

With a quick and fast business intelligence platform for powerful data visualization, the Power BI, the Business Intelligence environment has been simplified. This Microsoft Business Analytics service brings together raw data from different sources, such as a simple spreadsheet on a desktop to cloud-based data. Easy, quick, scalable, and enterprise-grade, due to its simplicity and minimal training, it can be used by non-technical individuals to visually analyze and share data. And this makes it ready for detailed modeling, real-time analytics, and custom development. In this post, we are discussing the revolutionary impact of Power BI on business intelligence.

Therefore it comes as no surprise that in the past 6 years, Power BI has been top of Gartner’s magic quadrant leadership list year after year.

Let’s take a closer look at Power BI, what it is made of:

This Business Analytics service consists of a Power BI Desktop, a Windows desktop application, an online SaaS software service named the Power BI service, and mobile Power BI applications for Windows, iOS, and powerful Data Visualization Android devices.

The three components, Power BI Desktop, the service, and mobile apps, are designed to enable individuals to produce and exchange business insights for better decision-making. And the fourth element is there too. It’s called the Power BI Server. It helps you to publish Power BI reports after they have been generated on Power BI Desktop to an on-site report server.

Components of Power BI

Power BI’s core features include:

  • Support for hybrid deployment, which enables the business intelligence tool to link to multiple data sources and allows analytics to be automatically applied to information through the Quick Insights feature by creating data subsets.
  • Power Query, that enables data to be incorporated and transformed into the Power BI web service. For improved data visualization, this information can be shared through several users and models.
  • The common data model-This makes the use of extensible building of databases (schemas).
  • Data visualization software can adjust the appearance of the customization function and can also import new tools into the platform.
  • Via the APIs, the Power BI dashboard can be incorporated into other software products.
  • Complex data models-You can use the modeling view to break them into different diagrams. As per requirement, common properties can be set, viewed, and modified.
  • The Cortana integration, which enables users to ask for data orally using natural language, is a popular feature on mobile devices. It’s a Microsoft robotic assistant.

Doesn’t it sound like a winner?

But what’s in it for you with Power BI?

The business intelligence tool, as a whole, incredibly lets you link different data sources, clean it up and convert it into a simple data visualization data model (graphs, maps, etc and share it with other users within your company.

Top Business Intelligence Tool

Its benefits include:

  • Fair costs for accessing the Power BI dashboard make your investment worthy of this Data Visualization tool.
  • Quick learning if you are familiar with the Power Pivot and Power Query in Excel.
  • Since this Business Intelligence tool is operated by Microsoft, in terms of tips and exercises, there is always assistance at hand for you to learn from and network with other clients.
  • Simple and easy data sharing across all platforms such as Windows, Android, and IOS.

But how you use each aspect of Power BI at a given point in time can depend on what your position is within a team or a project. You might be using the Power BI service, for instance. But inside your organization, a business report maker that does a lot of number crunching might use Power BI Desktop extensively to produce reports, then publish those reports to the Power BI service, where you can access them. Similarly, in sales, another partner can involve the use of the Power BI phone app to track sales quota progress and fill in new sales lead information. In order to drive data into databases or to embed dashboards and reports into their custom applications, developers also use Power BI APIs.

And all of this in 2 easy steps to make life a lot easier for you.

For great data visualization, this is how Power BI works:

  • In Power BI Desktop, the business intelligence platform links to data sources and creates reports.
  • Reports are released from the Power BI Desktop to the Power BI service and exchanged for accessing and drawing insights with end-users on the service and mobile devices.

However, if we let you off without showing you the full picture, it would be unreasonable. There are a few down slides to the Power BI.

  • The data model developer needs to define the protection permissions, otherwise, it will be applied to all data users.
  • Only a personal dashboard can be developed by the user and not a device dashboard.
  • While it is possible to construct multiple datasets, the limit per dataset is 1 GB and the maximum number of records that can be generated on is 100,000.
  • Reports and dashboards can be shared only by users of the same email domains.

But despite the above, Power BI is a strong tool for business intelligence and is here to stay in the Data Visualization environment. In the world of Business Intelligence, it is due to the impact of Power BI, we can seamlessly link to hundreds of data sources and infuse life into our data through dashboards and reports insight.

Recent Post

How to use chatbot services for healthcare on WhatsApp

How to use chatbot services for healthcare on WhatsApp

In recent years, technology integration into healthcare has made healthcare services more accessible, personalized, and efficient. Among these high-end technological advancements, the emergence of chatbot services for healthcare on platforms such as WhatsApp has...

read more

Related Articles

Prescriptive Analytics: Turning Manufacturing Data into Operational Gold

You are sitting on gold, but don’t even know it. Those terabytes of data streaming from your machines and production lines hold the keys to transforming your manufacturing operations. Yet day after day, the precious insights remain locked away while inefficiencies and waste eat into your bottom line. What you need is a master data alchemist to spin all that raw information into operational gold. With advanced analytics techniques like predictive and prescriptive modeling, you can extract actionable intelligence to optimize processes, prevent downtime, enhance quality, and drive strategic decision-making.

Imagine the possibilities if you could predict failures before they happen, tailor products exactly to customer specifications, and simulate the impact of your decisions. The power is in your hands to unlock the full potential of your manufacturing data. You just need the right tools and techniques – data alchemy – to turn it into gold.

Empowering Frontline Workers with Self-Service Analytics Tools: A Guide for Manufacturing CIOs

As a manufacturing CIO, you oversee massive amounts of operational data across your organization. However, this data often remains siloed and inaccessible to many frontline workers who could benefit from analytics insights. By implementing self-service analytics tools, you can empower these frontline workers to independently access, analyze, and derive insights from data relevant to their roles. This democratization of data unlocks tremendous potential, as workers can leverage analytics to guide operational decisions and process improvements.

This article explores best practices for manufacturing CIOs to roll out self-service analytics platforms successfully. You will discover how to select the right technologies, encourage adoption across the workforce, govern usage appropriately, and measure ROI. By following this guide, you can foster a truly data-driven culture and amplify the impact of your data assets.

Think AI