Internal Audit Analytics
Deloitte & Touche LLP
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. That is why many leading IA functions are turning to business analytics.
Focusing on continuous monitoring and continuous auditing, project analytics and beyond, IA functions are embracing enhancements in data mining technology and data visualization tools. This embrace of analytics may help move IA toward more sophisticated risk analysis and monitoring.
|Reining in project risk: Predictive project analytics
Predictive project analytics holds tremendous potential for helping organizations assess the likelihood of project success, improve overall project performance, and identify and implement quick fixes for projects and programs already underway.
|Adding insight to audit: Transforming internal audit through data analytics
Learn how business analytics can help companies more skillfully slice and interpret their data, deliver insight, and add value — allowing executives to make more efficient and effective decisions.
|Continuous monitoring and continuous auditing
Discusses the potential barriers to, and advantages of, continuous monitoring and continuous auditing adoption.
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