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11-07-2024 08:48 AM - last edited 11-07-2024 08:54 AM
An Accounts Receivable (AR) can mean the amount of money a customer owes a company for goods or services they received, or the process of converting their debt into cash. Therefore, managing AR is such a critical business process, and the quality of AR can determine whether or not a company thrives. A dashboard that presents receivables data graphically can offer valuable insights about an organization's receivables status and provide a clear picture of its cash position.
The use of highly interactive dashboards with drill-down capabilities into different breakdowns such as geography, period, customer, and invoice details can provide transparency and insight across the entire process for AR. Having such a solution in place can help a company shorten the order-to-cash cycle and maximize its cashflow and working capital.
The report contains two pages: Overview and Customer Insights
OVERVIEW
The Overview page contains high-level information and shows 360-degree view of the company's current receivables position. Data for this fictitious company are available from 1 January 2017 through 31 May 2020. By selecting a desired date slicer at the top of the report, you will be able to dynamically recalculate the receivable balances as of any previous date.
The top info bar displays KPIs, including the customer balance as of selected date, broken down by non-due and overdue balances. DSO (Days Sales Outstanding) is shown along with the Overdue % for the past 12 months. DSO is the average number of days it takes to receive cash from customers. This metric measures the very heart of the AR process.
Age Analysis of Due Balances shows balances broken down by age groups. The aging calculation is dynamic, which means that if you change the end date of the date range on top, the balances are recalculated. I have used Calculation Group to achieve this setup. You can right-click on any age group and go to the relevant detail page to see the customers and invoices that belong to the selected aging group.
The donut chart shows the overdue balances with percentages by regions
The clustered column chart on the upper right shows the actual vs estimated & forecasted cashflow. This chart is useful to know future cash inflow based on customers’ average past settlement days. The chart shows the expected inflow in the next three months.
The chart on the bottom left explains AR efficiency by comparing monthly sales with the running due balances, broken down by within-due and overdue balances.
The matrix visual shows the top 10 customers based on overdue balances with number of invoices within overdue periods and flagging customers who exceed their credit limits. You can drill down to the detail page for more details from here.
CUSTOMER INSIGHTS
The 2nd page shows customer specific receivable information with the hierarchy by country, city, and customers.
Each line in the matrix visual represents receivable balances along with due balances and the breakup of the age groupings. You are also able to drill through to invoice details from this visual
Your thoughts and opinions on how to enhance and expand this report are much appreciated.
Thanks and kind regards
Fowmy Abdulmuttalib
Fowmy is a Microsoft-certified business intelligence professional with extensive experience in finance, accounting, and data analytics. He founded ExcelFort Consulting Services, which specializes in training, consulting, and building business intelligence solutions using the Microsoft Power BI. Interested in everything data-related, he would like to share his passion and knowledge with the data community.
Website https://excelfort.com/
YouTube channel https://www.youtube.com/c/ExcelFort
LinkedIn: https://www.linkedin.com/in/fowmy/
Twitter: https://twitter.com/excelfort
Email: fowmy@excelfort.com
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I would love to get the .pbix file for this if possible. brandy.texter@gmail.com
hello, possibility to share this report with me? peka23000@gmail.com
Would you be willing to share your file to lisawsurvey@gmail.com? This report is very informative and would a useful tool for any business.
Thank you very much, is it possible to share the file to manuel1977177@gmail.com
Hello,
Amazing works. Recently, I am also developing an aging analysis report.
Could you please share the pbix file to eric4781cool@gmail.com?
THank you!
great Job..
Could you please share the pbix file to gowthamreddy087@gmail.com.
A great learning resource.
Insightful dashboards! Great job. Could you please share the .pbix file?
Thanks!
Please Share the pbix file to roseanne.martinez@lanxess.com
Well prepared dashboard ! Could you please share the pbix file to Falibrahim91@gmail.com. Thanks in advance.
Could you please share the pbix file to talat.dmreceivable@hotmail.com
Could you please share the .pbix file to talat.dmreceivable@hotmail.com because I very much like this.
Hi @Fowmy
Very informative report! Could you please share the .pbix file to fahimfarhan334@gmail.com
Thanks in Advance!
Hiii...can you please share the pbix file to oxygen.andre@gmail.com ?
Nice dashboard, i will appreciated if you can send me the .pbix file to
mf.qualitysoftwares@gmail.com |
Can you please share the pbix file to sajadahmadiad@gmail.com ?
Fantastic dashboard, could the .pbix file please be shared? rich.wilkinson@bath.edu
Hi @Fowmy
Very informative report. Lot to learn from this. Is it possible to share the report to this email.
Manju.phoenix@gmail.com
Thanks in Advance!
Love this report! Any chance you could share the file to bjmadden93@gmail.com please? Thanks so much!
Hi
looks like a great and useful report.
Can you share the pbix file?
thanks in advance
Amazing work with this dashboard!
Can I please get the PBIX and dataset on bhavanutd@gmail.com?
Thanks in advance!