A picture is worth a thousand words. For years, advertisers have used images to draw us in and make us crave the products they’re selling. That same, “I gotta have it now,” experience doesn’t translate when looking at a spreadsheet stuffed with numbers. It’s difficult to absorb data, hard to read and unorganized. It doesn’t tell a clear story, but data visualization is changing the way auditors are communicating with their audiences.
When most auditors think about using data visualization, the obvious place is at the end of the audit to present findings to key stakeholders who may not always understand how rows and columns of data indicate critical issues. Showing data in a visual format gives management a better understanding of risks within the organization.
Data visualization is equally effective at the beginning of the audit when scoping the audit and conducing a risk assessment. When working with a finite amount of time and resources, you’ll need to adjust your scope accordingly, which is where data visualization can save hours of effort. Here are some ways IDEA can help you plan and scope an audit using the data visualization features within IDEA.
Audit planning is the process in which the strategy is designed to conduct the audit, which defines the scope of the audit. This includes the size, nature and time to complete the audit. Audit scope establishes how deeply an audit will be performed. It includes assessing the different components of the process under review and determining which ones will be included in the audit. Both require looking at the data from different angles and perspectives to determine where resources should be allocated. This is where reviewing rows and columns of data becomes time consuming. Data visualization is far more effective at gaining a “big picture” perspective.
Risk assessments are often used to prioritize audits when allocating audit resources. Data visualization can be infused into the systematic process of evaluating risks associated with an area, activity or set of activities. Since you can’t audit everything, you need to look at likelihood, level of risks involved and potential impact. How do you do this? Where do you start?
IDEA’s Discover feature uses audit intelligence to automatically create custom dashboards that identify trends and outliers in a database with just one click. For example, if there are 4 potential locations for an inventory audit and audit hours only allow for an audit of one location, you’ll need to choose which location should be reviewed based on risk criteria. Importing inventory data into IDEA and using the Discover feature to create dashboards with pie charts, you can see materiality – the value and quantity of products by location. Which location has the greater variety and higher volumes? Some of the reports you would use in this scenario include:
Use Field to Sum to look at the data in different ways. When selecting your chart type, use the “Field to Sum” drop down and select from three options: Sum, Average and Count.
Once the location has been identified, you’ll need to decide which areas of the inventory cycle or process to include in the audit. Reports would include:
Use tree charts and line graphs to help identify transactions not following specific business rules. For example, when looking at payroll data, look at payments over time, multiple payments to the same employee, etc. Exception testing is also useful to identify potential audit issues. Look for exceptions to business rules and transactions or balances outside the norm from the process or business.
Data visualization is making it easier to identify areas of interest, anomalies and trends within large data sets that call for further analysis. IDEA 10.3 includes new enhancements that will save you time when planning and scoping audits.
Duplicate Key detection has been added to IDEA Version 10.3, providing the ability to design dashboards that identify counts of duplicate items (like invoice numbers or check numbers) and then to drill down further as needed. Discover can now detect Duplicate Key situations across all fields, and automatically populate the first field that it detects with duplicates into the dashboard. This allows you to identify anomalies without having to run multiple duplicate key detection tasks. It can be used to evaluate your data and look for duplicates that are exceptions rather than the rule.
For example, when looking at transaction data, invoice numbers should not be duplicated, while you expect a sales rep ID to repeat. Once the Discover dashboards are populated, you can use IDEA’s Visualization feature to further customize the dashboard to show information about other fields with duplicate keys or any other relevant field stat. Also new to IDEA 10.3 is the ability to scroll and zoom into specific areas of data. A progress bar is displayed when executing tasks.
For more tips on using the Visualization features built into IDEA, we invite you watch the 6-minute video or read how fellow IDEA users are using this capability: Article: Better Communication with Visualization.
Information for this article was sourced from a presentation by Angel Butler, Data Resource Manager, Chevron Services Company during the 2017 IDEA Innovations Conference in Houston.
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