Power BI Templates
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$16.00
I am excited to share sales dashboard with the help of power bi desktop.
The whole process involved the following
1.Fetch the data
2.Cleaning the data
3.Use functions
4.Use KPIs ,Donut chart ,Bar chart ,Slicers
Feedbacks and suggestions are welcomed.
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$50.00
You can use this template to analysis any kind of sales data.
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$20.00
The Bank Customer Segmentation Analytical Dashboard empowers banks to gain valuable insights into their customer base and optimize their strategies accordingly. By analyzing customer data based on income band, relationship time frame, city, banking relationship, sex, and risk level, banks can develop personalized offerings, target specific customer segments, and enhance customer satisfaction. The dashboard’s visualizations, tables, and KPIs provide a comprehensive view of customer characteristics and financial relationships, enabling banks to make data-driven decisions to improve profitability, mitigate risks, and drive customer loyalty
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$20.00
The Consumer Sales Goods Dashboard offers a comprehensive and interactive overview of sales performance in the consumer goods sector. By analyzing sales by customer type, state, geographical location, warehouse, and date, businesses can gain valuable insights into their sales trends and make informed decisions to optimize their operations and maximize revenue.
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$17.00
I have created an interactive dashboard on sample superstore from Microsoft Power BI desktop for business intelligence learning .It gives an overview of Sample superstore data.
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$11.00
This Sales dashboards present relevant and actionable sales data, allows you to make data-driven decisions quickly. Having the right sales dashboards based on current data leads to time savings.
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$16.00
I have created superstore sales dashboard using power BI. This dashboards provide lot of insights such as sales performance and overall trends of an organization.
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$25.00
You can use this template to analysis any kind of sales data.
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$14.00
Here I am going to share my recent report on HR dataset.
Steps used for this report :
1.Imported the dataset from power BI Desktop .
2.Data Cleaning and transformation done in power query editor.
3. Used different charts ,slicers and filter for analyzing and getting better insights.
4.Conclusion
