Analytics Automation: Establishing a More Impactful and Sustainable Framework for Analytics 

Watch Now

On Demand Webinar
Get Notified about Upcoming Webinars

shutterstock_625282904 (2) presentation slide

Driving More Value with Automated Analytics

While the use of Data Analytics produces excellent results, they’re commonly applied in a tactical way for specific functional areas within an organization.  This tactical approach often falls short of realizing the full potential of Data Analytics.  Going beyond initial results, a more systematic approach to Data Analytics can help drive organizational learning (human and machine) from the various remediation processes.

In this Webinar, we’ll discuss 3 areas of Analytics Automation: (1) Producing the findings, (2) Managing the findings, and (3) Learning from the findings.

Key takeaways:

  • The value of Analytics Automation
  • Understanding the various technologies (i.e. RPA, AI, etc.)
  • Practical ideas for deploying and managing Analytics Automation
  • Using a more structured approach to remediating exceptions
  • Benefits of Root Cause Analysis
  • Using Analytics Automation to get a broader, more complete view of your organization over time

 

Picture1

Keith Barber

Partner, Data Analytics Insight

Verracy

Keith is a Partner with Verracy responsible for Data Analytics Insight, where he specializes in data analytics training, data analytics program implementations, and advancing data analytics programs.

Keith has extensive experience helping clients solve complex data issues using various software tools. His professional expertise includes data analytics, IT audit, fraud detection, automated control monitoring, the use of Business Intelligence to support strategic decision making, and personnel/project management.

BradT-Headshot

Brad Thiessen

Director of Client Services

Arbutus Analytics 

Brad has been involved with audit and fraud detection analytics for over 25 years. He has worked with various industries globally to help achieve success in the use audit automation.

He continues to see a wide variance in user adoption and results of analysis technology within the audit function.