Process Mining and P2P in Power BI

Process Mining and P2P in Power BI

Most manufacturing Accounts/Payable departments are looking at SaaS process mining systems to help them out-execute their competition. Regretfully, the majority of these systems simply combine Business Intelligence, IPaaS, and a process mining algorithm resulting in HIGH costs and LONG implementation times.

Using Microsoft Power BI and the Power Platform, you can implement one of the most advanced process mining systems at a LOW cost and SHORT implementation time.

The procurement-to-pay cycle includes all activities in the procurement-to-pay process flow. Starting from the creation of the purchase order, to goods receipt and receipt of the invoice, to the verification, to posting and payment of the supplier invoices.

Increase your process efficiency with Microsoft Power BI and PAFnow for ‘Procurement to Pay’.

Join Daniel Hughes and Robert Connolly as we simplify the complex topic of these end-to-end business processes and how Microsoft Power BI and PAFnow can optimize your purchasing process:

  • Minimize discount losses
  • Reduce maverick buying
  • Analyze supplier reliability and choose the best vendors
  • Track compliance issues and set up alerts

Learn how manufacturers are using their existing Microsoft Power Platform infrastructure to leverage process mining and dramatically improve their P2P performance.

Process Mining - What is it all about?
Prepare yourself for the webinar. Watch this 2-minute video to see how easy and convenient Process Mining really is.


Daniel Hughes Director at PAF
Daniel Hughes, Director - North American Go To Market of PAF
Daniel Hughes has 20 years of experience helping companies select enterprise software technologies. He focuses on helping companies overcome process challenges by applying cutting edge technology to the problem. His background includes software companies focused on BI & analytics, AI & ML, BPM & workflow, intelligent automation, and most recently Process Mining. He has helped companies dissect and automate processes from procure to pay, to mortgage origination, to hire to retire, and customer journey. Daniel earned a degree in Information Systems from Baylor University.

Robert Connolly, Data Analyst at PAF
Robert Connolly, Data Analyst
Robert Connolly is a graduate from the University of Michigan: College of Engineering where he earned his degree in Computer Science. At PAF he works as a Data Analyst for the US team in Ann Arbor, MI. He believes that business intelligence and analytics have the potential to change the world and how every business operates. He aims to bring business intelligence to customers worldwide to make sure every business has the opportunity for clarity in their data and efficiency with analysis.