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A leader should be able to change his or her thinking and make better, faster decisions as a result of talent data.
LinkedIn is sharing parts of its database with partners like Success Factors, which makes software for planning and carrying out complex tasks, to build more uses for the talent data.
For other firms, more effectively using talent data is a key component of an HR transformation, one that seeks to improve the function's role as a true business partner.
One of the biggest obstacles to these processes is the fact that talent data is often locked up in a small room which only executives can see.
With the rise of digitization and big data over the last decade, businesses are implementing machine learning strategies as well as hiring more talent (data scientists and analysts) to kickstart these data-heavy techniques within their organizations.
Be transparent and share talent data.
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Many are investing heavily in hiring talent with data skills and building out data proficiency across the organization.
Colson also created an "algo UI team". Think of this as a group of people who combine their design talents and data wrangling talents to create reusable code sets for producing good dataviz for the project teams.
Many are investing heavily in hiring talent with data skills, but there's a lot you can do to improve data skills among existing employees without spending a ton of money on expensive consultants or full-time data experts.
He is now looking at the organizational processes surrounding the hiring of new talent using data collected in 14 organizations.
Throughout campus, initiatives are underway to bring a variety of experiences, perspectives, knowledge, and talent to data science, computer science, statistics, and related technical fields.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com