Business Analytics Capability and its Effects on Supervisory Effectiveness among Early Career Professionals

Abstract

This study examined the extent of business analytics capability (BAC) and its effects on the supervisory effectiveness of early career professionals in three analytics-adopting companies in Metro Manila, coded as Company A, Company B, and Company C. It used a descriptive-correlational design under the quantitative research method with 832 supervisors aged 18 to 40, selected through stratified random sampling based on the Raosoft sample of each company. A validated researcher-developed questionnaire (overall α = .933) measured BAC, supervisory effectiveness, and the barriers to analytics use. Data were analyzed using frequency, percentage, weighted mean, standard deviation, independent samples t-test, one-way ANOVA with Scheffé post hoc test, and Pearson r. Results showed that BAC was present to a Very Great Extent (M = 3.29, SD = 0.50), with Capabilities as the weakest dimension. Respondents perceived a Very Great Effect of BAC on supervisory effectiveness (M = 3.41, SD = 0.46), strongest in Management and weakest in Mediation. Supervisory effectiveness differed significantly by age, sex, profession, educational attainment, and industry affiliation, with industry affiliation showing the largest effect (η² = .251). BAC and supervisory effectiveness showed a significant but weak positive relationship (r = .336, p < .001), with r² = .113. Barriers were encountered at a Very High Level (M = 3.35, SD = 0.47), led by Individual Barriers and the lack of technical skills. The study concluded that analytics tools alone do not ensure effective supervision when skills and organizational support remain limited. Hence, the DATA-READY SUPERVISORS program was proposed to build supervisors’ analytical skills, extend analytics to Support and Mediation, strengthen organizational and technical support, and prioritize lower-performing groups, particularly Company B and bachelor’s degree holders.