Most businesses use dashboards for making the right decisions about their business problems. While the simplest dashboards can be created on free spreadsheet applications, such as Microsoft Excel, BI tools such as Google Studio that deliver deeper data-driven evidence are becoming increasingly popular.
Although Google Studio is also a free tool that works with Google Analytics, Google Ads, and other products, businesses realize that they begin to outgrow it quickly as they begin accumulating data.
Most enterprises require business intelligence tools that are more flexible in the types of visualizations and offer advanced analytical functions, and Microsoft Power BI is a frontrunner in both these aspects. In this blog post, we will focus on migrating from Google Studio to Microsoft Power BI.
What Are the Benefits of Migrating to Microsoft Power BI?
Microsoft Power BI is fast emerging as one of the industry leaders in BI and analytics, primarily because of its deep integration with existing Microsoft solutions. Here are some of the advantages of switching from Google Studio to Microsoft Power BI.
Microsoft Power BI is a significantly more complex data visualization software than Google Studio. While Google Studio is available only as a cloud-only application, Power BI is available as a comprehensive suite of products, that include Power BI Desktop, Power BI Online, Power BI Embedded, Power BI Report Server, Power BI Builder, and Power BI Mobile apart for integrations to Excel, SharePoint, Teams, and other applications. In addition to this, Power BI offers a wider range of out-of-the-box visualization options and widgets.
Data Handling Capabilities
While Google Data Studio is relatively easy to use and can generate most standard reports, using in-report filters for high-cardinality dimensions could become an issue. Additionally, it is limited in the functions that can be written to create custom fields. On the other hand, Power BI can support several database sources and offers more tools for complex uses such as predictive modeling and such applications.
Powerful Data Transformation Capabilities
Data is rarely available in the form in which it can be consumed readily. So, cleaning and transforming data into a suitable format is critical for business applications. While Google Data Studio allows users to blend data from different sources using the JOIN key, Power BI offers several tools, such as Power Query and Data Analysis Expressions (DAX) for complex data transformations.
How to Upgrade from Google Studio to Microsoft Power BI?
The complexity of migrating from Google Studio to Microsoft Power BI depends on several factors, such as the current data estate architecture, and the end goal of implementing Power BI. Here is an overview of the workstream involved in migrating from Google Studio to Power BI.
- The process of migrating from Google Studio to Power BI commences with an audit of the existing system. This will help in understanding the way data is used by upstream and downstream users and applications.
- Subsequently, a modern data estate architecture is designed for implementing Power BI and appropriate licenses have to be procured.
- Data has to be imported from sources such as spreadsheets, database servers, CRM, and other applications.
- This data is cleaned and visualized using reports and dashboards in Power BI.
Apps4Rent Can Help Migrate from Google Studio to Power BI
Although Power BI is a powerful analytics and visualization solution, the key to making the best use of the package lies in its implementation and customization. A disintegrated BI implementation with several tools and applications could result in budget leaks and even inaccurate analysis.
As a Tier 1 Microsoft CSP and a Power Platform Partner, Apps4Rent assists companies that need to modernize the BI architecture with implementation, post-installation, and maintenance support. Contact our Microsoft-certified business intelligence consultants available 24/7 via phone, chat, and email for Power BI migration and deployment assistance.
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