Copyright (c) 2025 REICIT
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Effective data management has become a determining factor for institutional success in contemporary education. This study assessed the level of data management maturity at the San Miguelito Regional University Center by applying DAMA's Data Management Maturity (DMM) model. The research adopted a mixed methodological design (qualitative-quantitative) with a descriptive-propositional approach. The study population consisted of 14 university administrators with direct responsibilities in technological data management, using purposive non-probability sampling. Data collection was carried out using a questionnaire based on Gartner's data maturity model (DAMA's Data Management Maturity Model or DMM), complemented by a document review. The results revealed that the institution is at an intermediate level of maturity, with strengths in basic data management, but weaknesses in systems integration, information quality, and data governance. Barriers such as a lack of staff training and a lack of clear policies were identified. Based on these findings, strategies are proposed to strengthen governance, improve data quality, integrate systems, and train staff. In conclusion, this study provides a comprehensive assessment of the data management maturity level at the San Miguelito Regional University Center and offers practical recommendations for optimizing its processes.
Este obra está bajo una licencia de Creative Commons Reconocimiento-NoComercial-CompartirIgual 4.0 Internacional.
