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Organizational effectiveness and leadership competencies through employee attitude, opinion and satisfaction surveys by ISR






Extract Insights From Nonsurvey Data Using Data Mining

In the routine process of collecting data from employees, customers, investors, and vendors, organizations have acquired a vast resource that can be used to help identify improvement opportunities. Data mining is a process of exploring and analyzing data in a firm's existing archives to determine opportunities to impact Performance Through People.

Data mining example:
organizational improvementsdriven by Towers Perrin-ISR's gap analysis

An information technology company experienced high turnover among its project directors. By mining the firm's existing data archives, including data on demographics, salary, hours worked, travel time, and generated revenue, Towers Perrin-ISR discovered that those project directors who had accumulated the most travel time were more likely to leave the firm. Towers Perrin-ISR then designed a tailored survey to uncover the aspects of travel that most drove employees to leave, thus setting the stage for specific follow-up action to reduce turnover in this key population.