The initial data visualizations that are created as part of any analytics project typically inspire more questions than they answer. It is vitally important to coordinate between the policy, business, and data people of your organization to move on to the next step, planning.

Investigators brainstorming about how to catch credit card fraudsters around a table with notes and a computer with CAATs data for purchase card anomolies

For brainstorming, consider:

  • What kind of purchase card data does your organization have? 
  • What overall trends occur in your data? Are there spikes and anomalies?
  • What kind of cost savings can be identified for your organization?
  • What are the advantages of identifying suspicious spending? Fraud Identification or Peace of Mind?
  • What is your organization’s highest priority when it comes to the use of Purchase Cards?
  • Who would benefit from seeing the data in an organized manner?

Does it sound overwhelming?  You can do it!  There are many different available off-the-shelf tools you can use including the ones shown here:  Arbutus Analyzer and Tableau Public.  MSExcel and PowerBI are also widely available and can be used to design similar data visualizations.  The sample visualizations in the case study are easy to set up and take less than a month if you have the data.

If you have never evaluated your Purchase Card data before, take the next step with your data today!