In a 2012 Bersin and Associates research paper, only 6 percent of HR teams rated themselves “excellent” in data analysis, while 56 percent rated themselves “poor." In school we all learn standard notation for math and how to solve equations, but we don't have that in talent management. We don't have it as a broad standard and we probably don't even define what our own internal "standard notation" is. While there is a wealth of data residing within the organization that might help us better define what "good" looks like and how to get there, elements like job descriptions or core and leadership competencies are not defining quantitative elements of our equation that align with the business side of our equation.
In this session, we will:
Review the challenges in defining talent management.
Discuss the elements in the talent management equation.
Describe how a job competency framework can balance the two sides of the equation.
Review three steps to implementing a framework to making sense of the data
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