Enhancing Administrative Efficiency Through Data Analytics, Digital Communication, and Automation in Tertiary Institutions in Anambra and Imo States

In the era of digital transformation, technological innovations are increasingly redefining administrative processes within tertiary institutions. This study adopted a descriptive survey design to investigate how data analytics, digital communication, and automation enhance administrative efficiency in public tertiary institutions across Anambra and Imo States, Nigeria. The population included students, lecturers, and administrative staff from selected institutions, with a sample of 2,000 respondents chosen through stratified random sampling. Data were collected using a validated questionnaire. The questionnaire consisted of three clusters aligned with the research objectives and was structured on a 4-point Likert scale. Expert validation and a pilot test confirmed the instrument’s validity and reliability, yielding Cronbach’s Alpha values of 0.81, 0.84, and 0.89 for the three clusters. Data collection was facilitated by trained assistants, and analysis was conducted using SPSS version 27. Descriptive statistics addressed the research questions, while ANOVA tested the hypotheses. This methodology provided a robust foundation for assessing the role of technological transformation in institutional administration. Data-driven decisions were strongly supported (Mean = 3.51), with Imo (3.56) slightly ahead of Anambra (3.49), though Anambra excelled in problem-solving using analytics (3.30 vs. 2.52). However, both states lacked dedicated analytics software (Anambra: 1.63; Imo: 2.39). Digital tools were widely used (Mean = 3.10), improving collaboration (3.07) and meeting productivity (3.00), yet failed to significantly reduce communication delays (1.78). Automation showed the highest benefits, reducing workload (3.36), improving accuracy (3.45), and enhancing speed (3.42), though transparency remained low (Anambra: 2.00; Imo: 1.30). Hypothesis testing showed no significant difference in analytics impact (p = .058), but digital tools (p = .000) and automation (p = .000) significantly influenced efficiency. These findings highlight the need for better infrastructure and training, especially in analytics and transparency tools, to sustain efficiency gains. The study concludes that technological integration significantly enhances administrative performance but highlights the need for targeted investments in analytics systems and staff training.