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Build Better Audits with Data Analytics:
10 Best Practices to Optimize Analytics on Your Audit Teams

Internal Audit departments are increasingly using the insights gained from data analytics to assist stakeholders with strategic and complex business decisions, as well as improve efficiency and mitigate risk.

But, how can you avoid the common pitfalls many organizations face when beginning an internal audit analytics program or trying to get more from your existing program? A key component is having an easy-to-use analytics tool that ALL of your internal auditors can use, not just those with programming or database administration skills. After all, the ultimate goal is to fully integrate data analytics throughout the audit life cycle.

In addition to implementing the right solution, there are several steps you can take to advance the use of data analytics within your internal audit team.
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Author
Ken Petersen MBA, PMP
Product Manager, TeamMate Analytics, Wolters Kluwer TeamMate

Ken has over 25 years of experience in developing and implementing systems and working with data in a variety of capacities while working for both Fortune 500 and entrepreneurial software development companies. Since 2002 Ken’s focus has been on the Governance, Risk, and Compliance space helping numerous customers across multiple industries implement software solutions to satisfy various compliance needs including audit and SOX.

Ken has been with Wolters Kluwer since 2009 and is currently a director and product manager of the TeamMate Analytics product focused on helping auditors perform data analytics. In this role, Ken communicates regularly with a variety of auditors and audit organizations about their audit analytics challenges, needs, and successes. Ken is PMP certified, holds an MBA from the University of Dayton, and a BSBA in Information Systems from The Ohio State University.
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