Per McKinsey, employees waste ~32% of their time on data-centric tasks, that can be automated. While the cost savings resulting from automating such efforts can be massive – greater value lies in the enhanced productivity achieved by redirecting those efforts towards more strategic endeavours.
Automation is the hallmark of all modern businesses – with data-driven automation being no longer a luxury but a necessity to thrive in an ever-changing market. Automation projects can be a slippery slope – if not executed properly, it can adversely impact data processes, usage, employee confidence and the customer experience. To realize the value of automation, businesses must champion data-driven automation as a strategic thread of business DNA, not a tactical one-off project.
As businesses look for opportunities to modernize their processes and optimize operations via data-driven automation tools, they must first develop a meaningful strategy. This requires a well-planned approach that includes clear objectives, appropriate technologies, and the right skills.
Check out the guide for data-driven automation use cases and steps for successful implementation.
