Large facilities and buildings with complex structures & operations face many challenges, such as aging buildings and insufficient resources to meet their high growth rates. Buildings undergo many renovation projects, a significant part of its facilities management and planning (FMP). It requires an improved data-driven decision-making process to increase efficiency and meet short- and long-term goals. This study implements a conceptual framework process for Multi-Criteria Decision Making (MCDM) utilizing building information modeling (BIM) as Data input to support the decision-making process for renovation projects. The study explores different categories and types of Design evaluation criteria for Building renovation projects. Six categories with twenty-two sub-criteria were identified and extracted from the literature and cross-validated through a focus study group of industry experts. The study is applied to a selected case for a Higher Education Institute (HEI) renovation project sample. The fuzzy analytical hierarchy process (Fuzzy-AHP) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) were used to rank the renovation design options alternatives while integrating BIM as a facilitator for the data-driven MCDM process. It was found that the proposed framework of BIM with F-AHP and TOPSIS can enhance the decision-making process by improving the communication process and data-flow consistency, reducing the high time and cost factors imposed by the current manual process used by the HEI.