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Hello,
I have data in following format
AccountName | StartDate | EndDate | MonthsActive | YearsActive | TotalBilledPremium | TotalAdmin | AvgAdmin | AvgLives | AvgPEPM |
My Account 1 | 00:00.0 | 00:00.0 | 191 | 15.91667 | 18480.48 | 938.0335 | 19.143540816326530612 | 2 | 9.571770408163265306 |
My Account 2 | 00:00.0 | 00:00.0 | 191 | 15.91667 | 18480.48 | 938.0335 | 19.143540816326530612 | 2 | 9.571770408163265306 |
I am looking to visualize this data but cannot pick the right visuals. Currently I have:
Can you please help me finding some more visuals and how to do it.
Also I am looking for a ways to show
Thank you,
Solved! Go to Solution.
Current Use: Showing accounts lost over time (LastBillingMonth).
Additional Use: Plot the Total Billed Premium over time to see the trend of billing amounts. Another line can show the total admin costs over time.
Current Use: Showing average/min/max of years active, average of PEPM, average of Admin.
Additional Use: Include metrics like Total Billed Premium, Total Admin, and Average Lives to provide a quick snapshot of key performance indicators.
Purpose: Compare Total Billed Premium and Total Admin costs for each account.
How to Use:
X-axis: AccountName
Y-axis: Values (TotalBilledPremium and TotalAdmin)
This will help in comparing the financial performance of each account.
Purpose: Show the proportion of Total Billed Premium by AccountName.
How to Use:
Values: TotalBilledPremium
Legend: AccountName
This visualizes the distribution of premium across different accounts.
Purpose: Show MonthsActive and YearsActive for each account.
How to Use:
X-axis: AccountName
Y-axis: MonthsActive and YearsActive (stacked)
This provides a clear view of the duration of each account's activity.
Purpose: Visualize the relationship between AvgAdmin and AvgPEPM.
How to Use:
X-axis: AvgAdmin
Y-axis: AvgPEPM
Tooltip: AccountName
This helps in identifying any correlation between average administrative costs and PEPM.
Purpose: Display key metrics like Total Billed Premium, Total Admin, AvgPEPM, and AvgAdmin.
How to Use:
Values: Individual metrics
This provides a quick view of essential KPIs.
Purpose: Compare the number of active clients month-over-month or year-over-year.
How to Use:
X-axis: Month/Year
Y-axis: Number of Active Clients
Series: Year (to differentiate between current and last year)
This will show trends and comparisons over time.
Purpose: Show the count of clients added vs. lost.
How to Use:
X-axis: Month/Year
Y-axis: Number of Clients
Legend: Added, Lost
This will illustrate the loss ratio effectively.
Hi, @AbhinavJoshi
Thanks for the reply from @AmiraBedh , please allow me to provide addition:
You can also enhance your visuals by adding tooltips that show additional details when the user hovers over a data point. This can provide deeper insights without cluttering the main visuals. For more information, you can check the following link:
Create report tooltip pages in Power BI - Power BI | Microsoft Learn
Consider setting up a drillthrough page in your report. This allows users to click on a visual element, such as a specific account in a chart, and drill through to a detailed page focused on that account. For guidance, check out Create a drillthrough report in Power BI:
Set up drillthrough in Power BI reports - Power BI | Microsoft Learn
How to Get Your Question Answered Quickly
Best Regards
Yongkang Hua
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi, @AbhinavJoshi
Thanks for the reply from @AmiraBedh , please allow me to provide addition:
You can also enhance your visuals by adding tooltips that show additional details when the user hovers over a data point. This can provide deeper insights without cluttering the main visuals. For more information, you can check the following link:
Create report tooltip pages in Power BI - Power BI | Microsoft Learn
Consider setting up a drillthrough page in your report. This allows users to click on a visual element, such as a specific account in a chart, and drill through to a detailed page focused on that account. For guidance, check out Create a drillthrough report in Power BI:
Set up drillthrough in Power BI reports - Power BI | Microsoft Learn
How to Get Your Question Answered Quickly
Best Regards
Yongkang Hua
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Current Use: Showing accounts lost over time (LastBillingMonth).
Additional Use: Plot the Total Billed Premium over time to see the trend of billing amounts. Another line can show the total admin costs over time.
Current Use: Showing average/min/max of years active, average of PEPM, average of Admin.
Additional Use: Include metrics like Total Billed Premium, Total Admin, and Average Lives to provide a quick snapshot of key performance indicators.
Purpose: Compare Total Billed Premium and Total Admin costs for each account.
How to Use:
X-axis: AccountName
Y-axis: Values (TotalBilledPremium and TotalAdmin)
This will help in comparing the financial performance of each account.
Purpose: Show the proportion of Total Billed Premium by AccountName.
How to Use:
Values: TotalBilledPremium
Legend: AccountName
This visualizes the distribution of premium across different accounts.
Purpose: Show MonthsActive and YearsActive for each account.
How to Use:
X-axis: AccountName
Y-axis: MonthsActive and YearsActive (stacked)
This provides a clear view of the duration of each account's activity.
Purpose: Visualize the relationship between AvgAdmin and AvgPEPM.
How to Use:
X-axis: AvgAdmin
Y-axis: AvgPEPM
Tooltip: AccountName
This helps in identifying any correlation between average administrative costs and PEPM.
Purpose: Display key metrics like Total Billed Premium, Total Admin, AvgPEPM, and AvgAdmin.
How to Use:
Values: Individual metrics
This provides a quick view of essential KPIs.
Purpose: Compare the number of active clients month-over-month or year-over-year.
How to Use:
X-axis: Month/Year
Y-axis: Number of Active Clients
Series: Year (to differentiate between current and last year)
This will show trends and comparisons over time.
Purpose: Show the count of clients added vs. lost.
How to Use:
X-axis: Month/Year
Y-axis: Number of Clients
Legend: Added, Lost
This will illustrate the loss ratio effectively.