Microsoft Fabric vs Power BI
Eugene Lebedev
??Microsoft Power BI Consultant | Over 500 Completed Projects | Expert and taking consulting projects in Power BI, Power Apps, Power Automate, and Looker Studio - vidi-corp.com
As a Power BI consultancy, we have had a chance to deliver client projects using both of these technologies. We are summarizing our practical experience in working with them in this article.
In short, Power BI is a part of Microsoft Fabric. Microsoft Fabric is an online platform uniting multiple data processing and analytics technologies whereas Power BI is the business intelligence technology inside of this platform.
When to Use Microsoft Fabric vs. Power BI
Let’s now consider 2 different case studies. The use of Power BI is more appropriate for the first one whereas the second one requires Microsoft Fabric.
Using Power BI
Scenario: An organization needs to improve the inventory management process by keeping track of their data and making more data-driven decisions.
Solution: The company uses Power BI to create interactive and automated management reports that analyze the inventory management process. These reports were built by a single data analyst and shared with the team of 5 people in the operations department.
A use-case like this does not require any large-scale implementation to solve the problem that this organization faces. A data analyst can simply load the data to the report, analyze it and provide the management reporting to the operations team.
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If the operation team has any new business questions as they work with the Power BI report, they will send an email to the data analyst and ask to create additional analysis. A day later they would receive a new version of their Power BI report with the new graphs.
Using Microsoft Fabric
Scenario: A sales and finance department of a large organization is striving to create a self-service platform. The goal is enable the sales staff to answer their questions from data themselves without requesting more analysis from the finance team.
The finance team also uses the same datasets as the data science team for their analysis. There is some overlap in the way the 2 teams transform data for their analysis
Solution: The organization implements Microsoft Fabric to improve collaboration between teams. As a result shared datasets are prepared and loaded to One Lake. These datasets can now be used by the finance and data science team for their analysis.
The sales team start to use Microsoft Co-pilot to find answers to their data-related questions. Microsoft Co-pilot give the sales-team a chat-like functionality where the sales staff can ask questions and AI responds to them instantly. The sales team can also explore the data themselves by using Microsoft co-pilot to build new graphs and dashboards.