According to statistics, the internet created 4.4 billion data by 2019, with an estimated increase to 44 Zettabytes by the beginning of 2020. Analyzing this immense data worldwide poses challenges. To improve efficiency and save time, many introduced analytics tools, with Microsoft Power BI taking priority.
Microsoft launched Power BI as a business analytics service. Organizations use it to uncover insights. Power BI finds dissimilar datasets, transforms and cleans the data, and visualizes it through graphs and charts.
Advantages and Few Scenarios where Microsoft Power BI is relevant:
Advantages of Microsoft Power BI:
- Prototyping: Adopted immediately, prototyping combines ideas through functional duplication, informing solution scope and investment potential—a significant advantage in development.
- Easy access to data: It provides easy access to analyze the localized and cloud data sources.
- Data fixing and blending: By Prepping and mixing, the data results in a strong semantic layer. It allows us to scrap the data and make modifications to it.
- Enables rapid content creation: Content generation and publishing to the marketing groups is the added advantage for the analytics projects.
- Security implementation: With the help of row-level security(RLC), power BI restricts data access only to a few users.
- Easy collaboration: Integration of channels within the Microsoft team is an easy way to collaborate with the team members.
- Promotes self-service: There are quick deployment options and easy access given to source data for analysis and reporting.
Microsoft Power BI Business Scenarios:
Since we have discussed the advantages of Microsoft Power BI, let us go through a few scenarios within the organizations and how Microsoft Power BI fits in those scenarios.
Scenario 1:
The organization’s sales team utilizes a CRM for data logging and tracking. Seeking collaborative meetings and analytics reporting to enhance channel activity among sales representatives and managers in various regions, they explore the relevance of Power BI in this process.
- Power BI can analyze the data from the CRM.
- Make use of the Power BI desktop to inquire about the data and prepare the content.
- Once the content is completed, publish it to Power BI and allow the sales team members to collaborate with each other.
- It secures the Power BI content producing area.
Scenario 2:
In a company with a vast data lake, analysts seek flexibility to merge data without hindering the lake. Let’s explore Power BI’s role here.
- Power BI examines the data from the data lake.
- The use of power BI can ingest the attribute data in the excel.
- It combines the attribute data and data from the data lake
- Creates the content, shares, and collaborates with the team members.
Scenario 3:
The Analytics driven by the IT team generates the content from the data from an enterprise data warehouse. Let us find the power BI relevance here.
- Allow the self-service analytics of Power BI for the organization on administered data supported by the IT team for the enterprise.
- It provides simpler, customizable, and collaborative end interfaces.
- For reporting and analysis, access to the store data is simpler.
Scenario 4:
Let’s explore Power BI’s relevance for a team heavily reliant on Excel and macros, spending significant time on data collection and access.
- Firstly disconnect from using excel and try to build business logic and establish a robust semantic layer with the help of Power BI.
- Power BI provides multiple insights in a single graph.
- Cross filtering which is a lack in excel, is available in Power BI
- It provides a different setup of the dashboard to download and share with others.
Conclusion:
Technology evolves with new applications and tools, reducing user effort and enhancing productivity. Microsoft Power BI exemplifies this trend, recognized as the premier Business Analytics tool for improving analytics and generating quick reports and insights in graphical formats.
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