10-28-2022 07:10 AM - last edited 10-28-2022 07:11 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
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.
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 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.
hi, thanks for your work. Is it possible to have a copy of ur dashboard. As i'm building an environmental dashboard with cost and consumption, it would be really helpfull to have yours. email@example.com
Hi there, great dashboard, this is exactly what I need to do. Could you please email me the pbi file as I would like to learn the DAX behind? firstname.lastname@example.org
Hi there, great dashboard, this is exactly what I need to do. Could you please email me the pbi file as I would like to learn the DAX behind? email@example.com