Title
So I guess I lead Talent Analytics? An I/O Adventurer's Map for Navigating Analytics Work in the Big Data Era
Publisher
University of Tennessee at Chattanooga
Place of Publication
Chattanooga (Tenn.)
Abstract
A funny thing happened on the way to the workforce: Data Science, Big Data, and Artificial Intelligence became trends du jour. For an I/O Psychology professional, the prospects are great and the field is crowded: professionals from a dizzying number of educational backgrounds lend their skills to the challenge of using data to make better people and business decisions. As an early-in-career I/O, what does it look like to work in talent/people analytics in this era? In this presentation, we’ll review the landscape, share advice for navigating work in analytics, and discuss valuable tools and lessons learned working in an increasingly cross-functional space. Broadly, here are the bases I’ll cover: 1) A little biographical introduction/backstory to set up why I’m talking about this stuff 2) How to build knowledge/skills for analytics roles outside of the classroom (self-teaching resources and techniques to supplement and compliment formal I/O education) 3) Building a team around data/who to collaborate with (or who you may have to collaborate with) on analytics projects in organizations (and why you’ll be so thankful they exist)
Date
October 2019
Subject
Industrial and organizational psychology
Document Type
presentations
Language
English
Rights
http://rightsstatements.org/vocab/InC/1.0/
License
http://creativecommons.org/licenses/by/4.0/
So I guess I lead Talent Analytics? An I/O Adventurer's Map for Navigating Analytics Work in the Big Data Era
A funny thing happened on the way to the workforce: Data Science, Big Data, and Artificial Intelligence became trends du jour. For an I/O Psychology professional, the prospects are great and the field is crowded: professionals from a dizzying number of educational backgrounds lend their skills to the challenge of using data to make better people and business decisions. As an early-in-career I/O, what does it look like to work in talent/people analytics in this era? In this presentation, we’ll review the landscape, share advice for navigating work in analytics, and discuss valuable tools and lessons learned working in an increasingly cross-functional space. Broadly, here are the bases I’ll cover: 1) A little biographical introduction/backstory to set up why I’m talking about this stuff 2) How to build knowledge/skills for analytics roles outside of the classroom (self-teaching resources and techniques to supplement and compliment formal I/O education) 3) Building a team around data/who to collaborate with (or who you may have to collaborate with) on analytics projects in organizations (and why you’ll be so thankful they exist)
Department
University of Tennessee at Chattanooga. Dept. of Psychology