When Data Analytic Programs Die: A Failure in Logistics

With the recent "Great Resignation" and increased fluidity of talent, this becomes more pronounced for audit shops with budding analytics programs. From increasing demand to expanded responsibilities, analytic programs that get past the initial ad hoc phase can suddenly find themselves victims of their own success as processes fail to modernize or scale. Similarly, as team members find their responsibilities shifting from challenging new opportunities to merely maintenance, the natural consequences are fatigue, boredom, burnout, and departure.

Diligent experts examine the logistic considerations required to successfully launch and maintain a program. You'll leave the discussion learning different ways to:

• Identify the gaps and inefficiencies in your analytics program
• Modernize and streamline your processes with workflows and automation
• Collect metadata and visualize the disposition of exceptions in real-time
• Capture, demonstrate and visualize the value and ROI of your audit analytics



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