Despite growing calls to bolster their big data strategy, most companies remain behind the curve when it comes to using data, AI and machine learning tools to drive their enterprise governance, risk management and compliance (GRC) strategy, according to Dan Zitting, chief product officer at ACL, an enterprise governance SaaS provider whose solutions are powered by data automation.
He ought to know. For more than 30 years, ACL has been at the forefront of their industry helping companies grow their top and bottom lines and run more cost-effective businesses. Their solution—driven by data analytics, robotic process automation and machine learning―is being used by some of the most effective government and corporate entities in the world to transform their risk data into actionable insights.
I recently spoke with Dan about how companies can get in front of risk and increase the value of their data with the use of analytics, robotics and machine learning. Dan stressed that companies need to integrate data analytics and automation throughout the entire organization, rather than focusing on individual departments.