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Today’s business executives are increasingly applying pressure to all aspects of their business (including HR and workforce areas) to use predictive analytics to improve their bottom line. Human Resource departments have a set of unique challenges applying these techniques to deliver value to the business including little definition or guidance for identifying, framing and successfully deploying predictive analytics solutions to solve workforce challenges.
Focusing on both business and technical frameworks unique to HR applications of predictive analytics, this course will cover topics on how HR professionals can: build business support for these efforts, ensure they return value to the entire organization, scope and frame projects appropriately; develop a plan for successful deployment, and communicate outcomes to the business. Additional topics include how to insure that key goals from the entire organization can be integrated to typical HR goals (flight risk, engagement, diversity, onboarding efficiency etc.) to yield a highly effective HR analytics framework.
An elective course in the Predictive Analytics Certificate Program
Greta Roberts is an acknowledged influencer in the field of predictive workforce analytics. Since co-founding Talent Analytics in 2001, Greta has established Talent Analytics, Corp., as the globally recognized leader in predicting an individual’s performance, pre-hire. She leads the company in developing predictive solutions that can be easily and elegantly deployed into employee operations, to teams without a background in analytics, statistics or math.
Greta Roberts is the Co-Founder and CEO of Talent Analytics, Corp. She has 15 years’ experience creating solutions and a Cloud platform that predicts employee / job candidate performance and flight risk – pre-hire.
In addition to her role as CEO, she is currently the Program Chair for Predictive Analytics World for Workforce, Faculty for International Institute for Analytics and an Analytics Professional Certification Board Member at INFORMS.
Textbooks for your course may be purchased from any vendor or bookseller of your choice.
No textbooks are required for this course.
|Event||Date||Day||Start Time||End Time||Location||Room
|START||07/10/2017||Monday||---||---||Online (Access Begins)||---
|END||08/27/2017||Sunday||---||---||Online (Access Ends)||---