Adding Insight to Audit
Transforming Internal Audit through data analytics
As the business environment grows increasingly complex, Internal Audit (IA) is being asked to support the organization by delivering deeper insight and greater value more efficiently and effectively. Some of the more challenging expectations of IA include:
- Being more efficient and achieving more with less
- More effectively identifying and responding to risk
- Delivering more robust and effective analysis of key issues
- Providing more meaningful actionable insights
- Driving change within the business
Business analytics can help meet these expectations. Leading IA functions are embracing enhancements in data mining technology and data visualization tools to move beyond the traditional internal audit activities and toward an environment of more sophisticated risk analysis and monitoring. This whitepaper discusses how analytics allows companies to more skillfully slice and interpret their data, deliver insight, and add value — enabling executives to make more efficient and effective decisions.
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