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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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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!
wonderful work!! please share pbix file at nareshcar007@gmail.com
Hi there, that was an awesome report! Would you mind sharing the pbix file with me?
Thank you so much! likaa.gf@hotmail.com
Amazing Dashboard, can you please send through the pbix file to larryanesu@gmail.com . Thank you.
Can you please share the pbix file to saurav.agrawal1990@gmail.com
Amazing....Could you share the PBIX file? Clarissa.Crenshsaw@centene.com
Hi Fowmy, this looks amazing!
Could you please share the pbix file on shahkrupa903@gmail.com ?
A big thanks!
Amazing!
Could you please share the project
acc.ahmed.hamed@gmail.com
Very impressive dashboard.
Would you please share the pbix file,
devkotasamrat7@gmail.com
Hi Fowmy, this looks amazing!
Could you please share the pbix file on tianjingsijudy@gmail.com ?
A big thanks!
Hi, Great work, Could you please share the pbix file on shailvinarayanus@gmail.com?