Connect Fall 2018 | Page 15

S P OT LI G H T ADAPTING AT THE SPEED OF BUSINESS INNOVATIONS IN DATA-DRIVEN AUDIT NG Recent advancements in data analytics have fostered a host of pioneering approaches to growth and performance in business. Discover how continuous auditing (CA) and continuous monitoring (CM) harness big data to help your business identify risks, reveal trends, and expose operational glitches in real time. S ince the advent of the yearly internal audit, accounting mistakes and oper- ational miscalculations have traditionally been discovered well after corrective action or financial recovery are possible. While audits are still necessary, emerging strategies powered by data analytics provide deeper business insights at the click of a button. Continuous auditing (CA) and continu- ous monitoring (CM) are complementary practices that expose risk and facilitate decision-making based on data from sources inside and outside your company. While traditional audits illustrate the overall health of your company based on a sampling of data over a period of time, CA and CM allow you to regularly calibrate your operations based on real- time performance metrics using a more robust set of data. Organizations that master these strategies are more agile, more adaptive, and more likely to out perform their competitors. A Two-Fold Process CA and CM, while both data-driven in nature, are separate processes with unique features. Continuous auditing is managed outside of your organization and automates the verification of data and transactions as they happen. When the system discovers a discrepancy or error, it triggers an alert so that imme- diate corrective action can be taken. In contrast, continuous monitoring is an internal management tool that evaluates operations, employees, systems, and processes to detect compliance and efficiency. While these processes do not necessar- ily need to coexist, a two-fold approach supports interactive decision-making across divisions of the organization. Some key capabilities of CA and CM are: Î Î Simultaneously monitors millions of data records and generates relevant customized reports. Î Î Increases oversight and improves risk avoidance with constant monitoring and automatic status updates. Î Î Continuously expands application to expose risks beyond accounting transactions. Î Î Shifts the auditing paradigm from periodic reporting on a small data sample to continuous reporting on robust volumes of data. Î Î Harvests data from previously unavailable or unused sources inside and outside the organization. " Continuous auditing and continuous monitoring are complementary practices that expose risk and facilitate decision- making based on data from sources inside and outside your company.” RANKED ONE OF FORBES' BEST BANKS OF 2018 // CONNECT INNOVATION FALL 2018 // SNB.COM 15