The study aimed to determine the Data-Driven Decision-Making of the respondents, by creating a general depiction of the extent of their organizational culture, technological capacity, and data-driven decision-making in selected higher educational institutions in the Philippines. It utilizes a descriptive approach involving middle-level management who are involved in receiving the data, hence making data-driven decisions. A total of 149 officials participated in the study from both the academic and administrative departments. The questionnaire consisted of four parts, specifically the demographic profile, assessment of the organizational culture, determine the technological capacity, and the datadriven decision-making capabilities of the officials. The following statistical treatment were applied: Percentage, Weighted Mean, Pearson Product Moment Correlation Coefficient, ANOVA, and Regression Analysis. The results revealed that the respondents are mainly from Batangas campus, are above 40 years of age, has been in service for 16 years and above, Master's Degree holder, mostly are either from the Registrar's Office and MIS department, were regular employees, and, were administrative officials. For academic officials, the respondents were mostly department chairpersons, while for administrative officials, mostly were supervisors. Organizational culture and technological capacity influenced data-driven decision-making respectively. As for the ability of officials to make data-driven decision-making, they were literate on identifying and potential use of data, however this does not necessarily mean that proper utilization follows. There were no significant differences on the following: differences in responses on organizational culture when grouped according to profile variable, differences in responses on technological capacity when grouped according to profile variable and differences in responses on data-driven decision making when grouped according to profile variable. And lastly, there was highly significant relationship between organizational culture and technological capacity, organizational culture and data-driven decision-making, and technological capacity and datadriven decision-making.