Insight to Action: Driving Behavioural Change with People Analytics
Event Summary
Panalyt is extremely pleased to invite Daniel Willard, ex-People Data Science Lead at Uber, for a discussion on how People Analytics teams can generate actionable insights for their end-users and drive desired behavioral changes for improved employee and business outcomes.
Daniel is a behavioral scientist who specializes in combining novel data sources and psychological theory to identify, understand, and solve challenges in the modern workplace.
He was the former People Data Science Lead on the People Analytics team at Uber where he developed and maintained the business’s organizational network analysis program, machine learning applications, and bespoke research initiatives.
Join us for what promises to be a very insightful webinar!
About Panalyt
Panalyt helps bridge the People-Data Gap, operationalizing the delivery of relevant, timely, accurate and integrated data, insights and reports across the employee lifecycle, including data on employee connections & relationships, for any combination of HR, business line, or C-suite.
These people-informed decisions drive an improved HR and business-line relationship, moving from reactive to proactive around people, data, analytics and aligned decisions and utilize people data to drive organizational performance and results.
Learn how Panalyt is helping Panasonic improve manager effectiveness and innovation with Organizational Network Analysis 👉 https://panalyt.com/case/panasonic-ona/
Event Details
Webinar URL
Speaker(s)
Daniel West
Founder & CEOPanalyt
Prior to founding Panalyt, Daniel has spent over 20 years in strategic HR leadership roles with some of the world’s top employers such as Uber and Apple, and has experienced first-hand the difficulties all companies face in tying together their people-data, finding meaning in it, and making it transparent to managers and employees alike.
LinkedIn: https://www.linkedin.com/in/djwest/
Daniel Willard
Ex-People Data Science LeadUber
Daniel is a behavioral scientist who specializes in combining novel data sources and psychological theory to identify, understand, and solve challenges in the modern workplace.
He was the former People Data Science Lead on the People Analytics team at Uber where he developed and maintained the business’s organizational network analysis program, machine learning applications, and bespoke research initiatives.
He is currently building the data team at Natter, a workplace communication tool cutting silos and boosting engagement by improving the employee voice.
