S3:E14 • August 18, 2023 •
Top 3 Hacks for Leveraging Employee Centric Analytics for Data-Driven Decision Making with Peter Riber and Ian Cook.

In this episode of The Digital Adoption Show, the spotlight is on harnessing employee-centric analytics for data-driven decision-making within the future of work landscape. The podcast delves into the significance and practical implementation of people analytics and learning analytics.


Peter Riber, the head of Digital Learning and Analytics at Novo Nordisk, introduces the concept of learning analytics. Learning analytics involves collecting data on individuals’ training and learning behaviors, encompassing both formal and informal learning activities. The process involves gathering data from learning management systems to establish a baseline.

Peter emphasizes that the real value emerges when this learning data is combined with people data, including attributes like location, age, and gender. However, he cautions the need to differentiate between correlation and causation, highlighting the importance of testing and refining connections.

Peter outlines an effective learning analytics framework that emphasizes creating a data lake merging learning data, people data, and behavioral data. This structured approach facilitates evidence-based decision-making in learning and development initiatives, prompting collaboration with business units for data-backed insights.

Shifting focus, Ian Cook, Vice President of Research and Strategy at Visier, offers insights into employee retention and engagement through people analytics. He stresses the importance of nurturing employee loyalty by paying attention to their needs and engaging in conversations. While digital algorithms predict employee behavior, human interactions convey interest in retaining employees, often initiated through conversations about their work satisfaction and alignment with goals.

Ian delves into the evolution of employee listening processes, advocating for more frequent and focused approaches over annual engagement surveys. Technology enables swift feedback and response cycles, aligning with customer-centric practices and driving a loop of feedback and action.

He explores how digital tools enhance engagement by allowing employees to align skills with tasks, providing opportunities for growth and change without disrupting work. Ian suggests dedicating a portion of work time to activities promoting development and change.

In conclusion, both Peter and Ian emphasize the importance of leveraging people data for informed decisions. The discussions underscore the transformative potential of data-driven approaches, encouraging collaboration, strategic thinking, and technology adoption to create engaging workplaces and enhance employee satisfaction.

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