Leveraging Organizational Memory to Build Talent Pipeline for Mid-level Leadership

摘要

Leadership roles are key positions that directly impact the top line and shape the future of an organization. The constantly changing economy, increased globalization has rendered leadership identification, succession management, and retention of high performers as important business imperatives. A few challenges that occur during such leadership identification are identifying the right candidates by assessing the required parameters fit of a potential leader. With multinationals employing thousands of members as part of their workforce, organizations are in need to formulate a strategy and a standard plan, to identify and capitalize the right talent without any bias. Candidates for these high impact roles should not be identified based on data from disparate sources as these data do not provide a cohesive summary of the candidates' talent or experience. Additionally, the cost incurred and time taken to identify and groom potential leaders must be optimized. Hence an exclusive system to identify leaders by sourcing knowledge elements(K elements) from knowledge platforms, robust digitized HR processes, inputs from an organization's leadership development program, feedback and collaborative assessment from unit leaders and evaluators, is necessary. Find Your Leader (FYL) is a leadership identification system that uses the inputs from various knowledge sources to form the total score of a potential leader. It brings to fore potential leaders by identifying them qualitatively & quantitatively. The system analyzes critical parameters such as employee demographic data, job related data, certifications, competencies, awards, performance and operational specifics to arrive at a talent score using a talent algorithm. Moreover, evaluators and unit heads are enabled to provide a collaborative assessment for the individual. The total score is derived from the talent score and collaborative assessment and candidates are ranked accordingly. The results obtained from testing over 2000 sample employee profiles in the FYL application, showed an 88% effectiveness of the FYL systems' predictability.