Improve Collections Performance with Data Storytelling Charts

Back to Storytelling with Charts

We have already discussed some basic principles of Data Storytelling. We understand the right Compares. We also select the correct chart based on keywords for your messaging. I have also introduced you to the SCR framework.

Now is the time to put into action everything we have learned (basic concepts).

Let’s examine the following example from a fictional company.

The Credit and Collections Department needs help with DSO and Collections Performance

Illustration of a busy call center with multiple employees wearing headsets, smiling, and engaged in communication at their desks.

Situation

The Credit and Collections department at a large B2B services company manages accounts receivable. It also works to reduce overdue payments. Leadership is concerned about increasing Days Sales Outstanding (DSO). Inconsistent collection rates are also a worry. These issues are impacting cash flow and financial planning. The department needs to present a clear, data-driven analysis to identify trends, diagnose issues, and recommend actionable steps.

Complication

Traditional monthly reports show static figures for DSO, overdue amounts, and collection rates. However, they do not show how these metrics change over time. They also fail to show how these metrics are related to one another. Leadership often struggles to find trends, compare performance across customer segments, or connect changes in processes to outcomes. This lack of visibility makes it challenging to distribute resources, set targets, or justify investments in process improvements.

Data Set

A table displaying key financial metrics including Monthly DSO, Collection Rate, and Overdue Receivables by Customer Segment, organized by month.

What Chart to use?

Whenever we have words like “compare over time” or “trend” in the message, it usually indicates a Time Series Comparison. I suggest the following approach. We need to show the Collection Rates, DSO and other KPIs over time, so that we can spot trends. It also compares them to the Industry Average.

What questions do we want to have an answer for?

  1. Are our KPIs better or worse than the Industry?
  2. Is our Collection Rate and DSO improving overtime?
  3. Do the amount of Collection Calls impact the Outstanding Balances?

And so with that in mind, we can come up with something like this – one view for each Project:

Chart illustrating the Collection Rate, Days Sales Outstanding (DSO), and Overdue Amounts over time for the Enterprise Credit and Collections Department, highlighting trends and performance compared to industry averages.
Bar chart comparing Collection Rate and Days Sales Outstanding (DSO) over time for the Mid-Market business, with noticeable trends in overdue amounts and collection calls.
Chart displaying the Collection Rate versus Days Sales Outstanding (DSO) and Collection Calls over a timeline, highlighting trends and performance against industry averages for a Small and Medium Business (SMB) segment.

Resolution

The Time Series Compare chart reveals improvements in DSO and overdue amounts for the Enterprise and Mid-Market segments. However, the SMB (Small and Medium Business) segment continues to lag behind industry benchmarks. Periods of increased collection activity correlate with temporary improvements, but sustained progress is limited for SMBs.

Call to Action for the Leadership:

  • Focus on targeted Collection initiatives for SMB Segment
  • Consider reallocating resources and setting monthly review checkpoints.

Summary

I hope this example provides you with some more straightforward guidelines on Time Series Comparison from day-to-day life. For now, the important thing is to give you a simple walkthrough from task to outcome.

For a free downloadable resource, click the Chart Decision Tree and Compare Visual Guide.


Discover more from Visual Wizards Academy

Subscribe to get the latest posts sent to your email.

Leave a comment