Comparative Power BI Report: Devices and Customers
Budget: ₹750 – ₹1,250 INR
I am in need of an expert in Power BI to create a report centered on customer data. The report should provide a comparative analysis between two devices (Lapdog and Lapcat) against other metrics and customer groups.
Specifically, I am interested in:
- comparing the average daily steps between the 2 devices (displaying trends over time by year and month). (page 1)
- Customer ratings for the 2 devices. (page 1)
- Demographics of pets for each device and other insights (page 2)
- Pets' families insights (page 3)
- Each page should include 5 slicers: drop down, slide, hierarchy and a select all slicer.
- 2 bookmarks: a. dynamically swap one visual with another one and b. reset all filter
- buttons: a. to navigate the report and b. must respond to hover by changing color or size (or both)
The ideal candidate should have:
- Strong expertise in Power BI reporting
- Deep understanding of customer metrics analysis
- Experience in comparative data visualization
- Proficiency in handling and interpreting customer data.
PS: the dataset is already modeled and prepared for visualization, and it is a very simple dataset.
Specifically, I am interested in:
- comparing the average daily steps between the 2 devices (displaying trends over time by year and month). (page 1)
- Customer ratings for the 2 devices. (page 1)
- Demographics of pets for each device and other insights (page 2)
- Pets' families insights (page 3)
- Each page should include 5 slicers: drop down, slide, hierarchy and a select all slicer.
- 2 bookmarks: a. dynamically swap one visual with another one and b. reset all filter
- buttons: a. to navigate the report and b. must respond to hover by changing color or size (or both)
The ideal candidate should have:
- Strong expertise in Power BI reporting
- Deep understanding of customer metrics analysis
- Experience in comparative data visualization
- Proficiency in handling and interpreting customer data.
PS: the dataset is already modeled and prepared for visualization, and it is a very simple dataset.