Measuring the Performance of your RPA COE

Best Practices & Lessons Learned

March 16th, 2022

The success of your automation program depends significantly on the maturity of how you measure it. Unfortunately, many organizations are focusing on tracking a very narrowed set of metrics such as hours saved, and are lacking the right framework of other SLAs and metrics that are equally as important.

Watch our webinar recap with UiPath and Equifax to learn How to Measure the Performance of your RPA COE successfully, best practices & lessons learned!


What you will learn:

  • The different dimensions you should measure before, during, and after implementation
  • Most common overlooked metrics and why they're important
  • How to implement the right automation tools and dashboards to streamline the measurement process, including UiPath Insights
  • Real-world examples from other UiPath customers on how they approach performance management

Our Speakers

Eduardo Diquez

Consulting Director, Intelligent Automation Practice


Eduardo is the Consulting Director of the Intelligent Automation & RPA Practice at Auxis, including the ongoing management of its IA Center of Excellence in Costa Rica. With over 10 years of experience in process improvement and finance transformation, Eduardo has a proven track record working with CFOs in the design and implementation of back office optimization initiatives, with a deep focus on implementing long-term, scalable Automation Programs.

Eduardo has successfully delivered over 200 robots to more than 30 different organizations across multiple industries including retail, financial services, hospitality, healthcare, and manufacturing.Some of Eduardo’s recent clients include Baptist Health, Revlon Cosmetics, Pandora Jewelry, Melia Hotels, and Amerant Bank.

Prior to joining Auxis, Eduardo worked at Accenture for 5 years, where he was involved in multiple process optimization and cost reduction projects for leading consumer goods companies across the Americas. Eduardo holds an Industrial Engineering Degree from Universidad Metropolitana in Caracas, Venezuela and an MBA from Babson College in Boston, Massachusetts.

Daniel Fernandez

Intelligent Automation Director


Daniel is a technology leader with 9+ years of expertise in building an Enterprise Data and Automation Strategy to enable cross functional insights and benefits for Equifax globally. He has experience implementing solutions across multiple business processes and BUs including: Finance, Sales, Marketing, Operations and Contact Center. Recently, Daniel has been focused on the growth of the automation pipeline for Equifax as well as discovering new automation opportunities in the RPA and ML space by developing a corporate automation culture to drive change.