Abstract: Indonesian public institutions, including the Financial and Development Supervisory Agency (BPKP), face challenges such as fragmented standards and poor data quality, which hinder effective Decision Support Systems (DSS). This research aims to evaluate BPKP's current analytics maturity level using the TDWI Analytics Maturity Model and to formulate a Data Management Body of Knowledge (DMBOK)-based strategy to enhance its data management and analytical capabilities in support of decision-making. This qualitative descriptive case study methodology employed document analysis. The research stages involved assessing maturity using the TDWI model, conducting a gap analysis, formulating a strategy with DMBOK principles, and proposing an implementation roadmap based on Aiken's Data Management Value Pyramid. The research findings indicate BPKP's analytics maturity is at the "Early Adoption" stage (overall score 3.41), with the Analytics dimension scoring the lowest (2.60) and exhibiting the largest gap (1.40). Key challenges identified are underdeveloped institutional metadata and limited application of advanced analytics. A comprehensive DMBOK-based strategy and a four-phased implementation roadmap using Aiken's Pyramid were proposed to address these issues.

Febrian Imanda Effendy and Nilo Legowo. “Enhancing Data Management for Decision Support Systems in Indonesian Government Internal Audit: A DMBOK Approach”. International Journal of Advanced Computer Science and Applications (IJACSA) 16.7 (2025). http://dx.doi.org/10.14569/IJACSA.2025.0160769

@article{Effendy2025,
title = {Enhancing Data Management for Decision Support Systems in Indonesian Government Internal Audit: A DMBOK Approach},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2025.0160769},
url = {http://dx.doi.org/10.14569/IJACSA.2025.0160769},
year = {2025},
publisher = {The Science and Information Organization},
volume = {16},
number = {7},
author = {Febrian Imanda Effendy and Nilo Legowo}
}