On-Demand Webinar

Tableau on Tableau for HR

Human resources teams are notoriously challenged by a multitude of data sources, misaligned metrics, and burdensome reporting processes. These problems mean that HR teams spend the bulk of their efforts answering everyday questions, and not enough time using actionable data to address the strategic challenges facing the organization. Join this webinar with Tableau’s Director of People Analytics Jon Agnone and his team, as well as Amir Meimand from Tableau’s Solution Engineering team, to learn about how Tableau HR and other customers are using our products to create trusted self-service analytics, to answer ad hoc HR questions faster, and to tackle key strategic HR business priorities, including:

  • Creating a more diverse, equitable, and inclusive workforce
  • Fairly and systematically promoting and compensating our employees
  • Identifying how to improve the employee experience
  • Help with anticipating workforce needs via attrition modeling—with Einstein Analytics!

About the speakers

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Jon Agnone

Director of People Analytics, Tableau Software

Jon Agnone, PhD., is Tableau’s Director of People Analytics. Serving previously as the Research Manager and lead data scientist in People Analytics with the Bill & Melinda Gates Foundation for nearly 7 years, Jon helped build out and mature the function over his tenure. Jon is currently an affiliate assistant professor with the University of Washington's Department of Sociology, faculty associate with the University of Washington's Harry Bridges Center for Labor Studies, affiliate faculty at the University of Washington’s eScience Institute, and director and co-founder of the Northwest Social Research Group. Jon has authored multiple published scholarly and policy reports, has presented to technical and non-technical professional, policy and academic audiences, and has become enamored with the power of Tableau to bring HR data to life for those who don't torture data for a living.

Jon and team were Tableau and Workday customers while with the Bill & Melinda Gates Foundation, where they built out self-service dashboards and data integrations using Workday and other people data sources. His team lead internal HR and enterprise wide Tableau trainings, have presented at the Tableau conference and other data and analytics conferences, and have informally advised other companies looking to build out people analytics functions. In partnership with other Seattle people analytics leaders, Jon co-founded the Seattle People Analytics Forum, which meets twice a year, to facilitate knowledge exchange and incubation of work in the field.

Amir Meimand TC21 Hubb Headshot

Amir Meimand

Principal Solution Engineer, Tableau

Amir Meimand is a Principal Solution Engineering at strategic solution team of Tableau focusing on Data Science and Machine Learning. Amir has 10+ years experiences in applying advanced analytics and machine learning to solve enterprise business problems. Before joining Tableau, he was leading a team of Data Scientists in a SAAS company based in Austin, TX to build a cloud-based ML platform for pricing optimization and sales maximization. In his current role at Tableau Amir helps businesses leverage Tableau’s Predictive Analytics & Machine learning capabilities with the best practices to achieve quantum improvements. Amir holds a Ph.D. degree in Statics and Operations Research from Pennsylvania State University graduated in 2013.

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