What process mining missed: How Merck uncovered inefficiencies with task mining
Uncover Inefficiencies with Task Mining
Task mining captures the full end-to-end workflow across all desktop applications — including click-level actions, complex tasks, and decision points — to deliver actionable insights on how to optimize processes and diagnose the root cause of inefficiencies.
Unlike traditional approaches, AI-powered task mining automatically identifies improvement opportunities within a couple of weeks — without the need to prepare data, implement on-premise solutions or hire additional consultants. This enables organizations to boost workforce productivity, deploy automation faster and continuously optimize processes for smarter, more efficient growth.
Featuring insights from a recent finance transformation initiative at Merck, this session demonstrates how its Global Business Services team used task mining to reclaim thousands of team hours and identify high-impact opportunities for automation and generative AI.
Discover how task mining empowers transformation leaders to unlock the next level of operational excellence (OPEX).
Speakers: Steve Carpenter, executive director GBS Digital at Merck and Tuhin Chakraborty, CEO and co-founder at Mimica.
Key takeaways include:
- Why system-level insights fall short in fully capturing work processes and how task mining reveals critical inefficiencies missed by process mining.
- How task mining uses AI to capture the entire process by mapping every interaction between users and their computers, across all systems and applications.
- How actionable insights are identified after just two weeks of capturing your team’s work without complex data preparation or costly consultants.
- How task mining accelerates intelligent automation and AI deployment for rapid business transformation.
- Strategies for sustained process improvement and workforce productivity through ongoing task monitoring.
