Data Analytics Leveraging Data Visualization and Automation in Audit Real World Examples May 8, 2015 Cliff Stephens, CISA.

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Presentation transcript:

Data Analytics Leveraging Data Visualization and Automation in Audit Real World Examples May 8, 2015 Cliff Stephens, CISA

Agenda Introductions Technological Advances in Analytics Capitalizing on Analytics Real-World Examples

3

4

Data Analytics Lifecycle 5 ReactivePredictive Manual Testing Ad-Hoc Analytics Managed Analytics Continuous Auditing Continuous Monitoring Ownership Shifts to Business

Efficiency From Automation and Visualization Typical State 6 Easier to set up initially Typically run on an ad-hoc or Managed basis More time consuming Playing “catch up” with old exceptions Q1Q2Q3Q

Efficiency From Automation and Visualization 7 Ideal State Year-round

Data Analytics Tools 8 ReactivePredictive Manual Testing Ad-Hoc Analytics Managed Analytics Continuous Auditing Continuous Monitoring Desktop Server

9 Employee T&E is risk rated based on various factors such as: ­Excessive spend in an expense category ­Weekend expenses Top right quadrant marks associate with high risk and high # of policy exceptions Tableau dashboard enables immediate insight and drill-down capability  Expense reports for high risk associate  Further drill down required 1 2 T&E Continuous Monitoring Data Analytics Example

10 3 Drill into the expense reports to see details Detailed view highlights that the employee submitted duplicate reports

Audit Findings Tracker Data Analytics Example 11 Interactive executive-level reporting for audit findings Tableau story drives the user to desired result Interactive filters and views drill into owners Clicking on graphs will take user to detailed actions 1 UnsatisfactoryWith Exception 2

Audit Findings Tracker Data Analytics Example 12 Easily isolate and export details of specific findings 3

HR Reporting Data Analytics Example 13 Details Automated SQL Server back ends jobs to extract and manipulate HR tables SSRS report pulls directly from SQL Server Key Benefits Extract scrubbed HR data by user ID or name Beneficial for user-access reviews and SOD projects Reduces the number of IA associates with access to HR data Expedites process of providing HR reports from three days to a couple of minutes 1

Fraud Scenario Monitoring Data Analytics Example 14 Potentially Fraudulent Returns By Customer ID By Location By Employee

Text Mining Using R Data Analytics Example 15 Unstructured Data -Social Media Data -Customer Comments / Employee Free Text -Survey Responses -Employee Chats -Web Crawling