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Talent Data

Talent is defined as all the people who use their skills and abilities to meet an organization’s business objectives. Talent data is defined as information and insight that an organization has available on its talent that is collected from their talent management system (TMS) including recruiting, onboarding, learning, performance, compensation, succession and workplace collaboration. This information can include demographic, mobility/activity, behavioral data associated with the talent from either internally or externally.

What Are the Benefits of Talent Data?

Talent data enables organizations improve employee engagement and productivity to make better workforce decisions.

The Cornerstone Analytics suite is built on top of the world’s largest network of shared talent data across seven talent management dimensions –recruiting, onboarding, training and development, performance management, compensation management, succession planning and workplace collaboration. Cornerstone’s portfolio of analytics offerings applies sophisticated data science and the most refined machine learning system for talent management to help organizations harness the power of real-time talent data. By unlocking four types of data analytics – descriptive, diagnostic, predictive and prescriptive – Cornerstone enables organizations to make smarter, data-driven talent decisions and maximize business objectives through their people, removing the reliance on guesswork and intuition.

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