Role of Analytics in Talent Management: A study in Pharmaceutical Sector

Abstract

Effective people management is essential for ongoing success in the
highly competitive pharmaceutical industry. This research explores how
analytics shapes personnel management strategies and provides
information on how workforce dynamics may be optimized through datadriven techniques. The study, which focuses on the pharmaceutical
sector, investigates how analytics may revolutionize important aspects of
personnel management such as hiring, training, and succession planning.
Based on an extensive analysis of previous research, industry case
studies, and expert interviews, the paper presents a sophisticated
interpretation of how analytics integration fits into people management
strategies. The three main pillars of the research are the application of
analytics in succession planning, performance analytics for ongoing
development, and predictive analytics in talent acquisition. The research
demonstrates the use of predictive analytics in talent acquisition,
highlighting the ways in which pharmaceutical companies manipulate
data to locate and entice highly qualified applicants. The study looks at
how analytics support succession planning, which is important in a field
that is advancing quickly. It clarifies how businesses use data to find,
develop, and prepare future leaders. The findings deepen our
understanding of the useful implications of analytics in personnel
management and provide insightful advice for companies managing labor
complexity. This research bridges theory and practice and empowers
businesses to make educated decisions about using analytics for
successful people management in the dynamic pharmaceutical industry