The study investigated data-driven approaches to enhancing staff development in Rivers State Public Universities. The study was guided by three research questions and three corresponding hypotheses. The study adopted a descriptive survey design. The population of this study consisted of 3678 teaching and non-teaching staff in two state-owned universities; Rivers State University (RSU) 2705 and Ignatius Ajuru University of Education (IAUE) 973 staff totaling 3678. A sample size of 364 was adopted for this study. The figure was realized through the use of Taro Yamane’s formula. Thereafter, two sampling techniques were utilised in selecting the respondents within the sample size of 364 staff. First the researcher adopted proportional sampling technique in selecting 224 respondents from RSU and 140 respondents from IAUE. The same sampling technique was used in selecting respondent from both teaching and non-teaching staff in the above universities. The researcher used a questionnaire for data collection titled “Data-Driven Approaches to enhancing staff development in public universities in Rivers State Questionnaire (DDAESDQ)”. The reliability of the instrument was obtained using Cronbach Alpha which gave a reliability index of 0.78. Data collected were analysed using mean and standard deviation statistics for the research questions while t-test inferential statistics was used to test the null hypotheses at 0.05 level of significance.The study concluded that the various approaches contributes to staff development in unique ways, from identifying skills gaps and improving training quality to enabling more objective evaluations and anticipating future skill needs. The study recommends among others that university administrators should invest in implementing robust learning analytics systems to help identify skills gaps, track academic and non-teaching staff progress, and improve the quality and targeting of training programmes