The Effect of Real-Time Data Analytics on the Performance of the Amahoro National Stadium Renovation Project in Rwanda

Liliane Ishimwe¹* and Martin Kimemia Gathiru²
1Mount Kenya University
2Mount Kigali University
Email: ishilia8@gmail.com

Abstract: This study examined the relationship between real-time data analytics and the performance of the Amahoro National Stadium renovation project in Gasabo District, Kigali, Rwanda. A mixed-method, descriptive cross-sectional case study design was used. The target population was 181 project personnel, from whom 125 were sampled using Slovin’s formula and stratified random sampling; 120 questionnaires were returned (96%). Data were collected with a structured five-point Likert questionnaire and interviews with project managers, financial officers and contractors, and were analyzedin SPSS version 27 using descriptive statistics, Pearson correlation, simple linear regression and thematic analysis. Respondents rated real-time data analytics as moderate (M = 3.72) and project performance as moderate (M = 3.44), with cost efficiency rating lowest. Real-time data analytics correlated very strongly with perceived project performance (r = .993, p < .001) and, as a single predictor, accounted for 98.6% of its variance (F (1, 118) = 8,368.29, p < .001; B = 0.984). Interviewees reported faster decisions and earlier corrections of delays but also noted limited user skills and slow system integration. Because the design is cross-sectional and based on self-reports, the results show a strong association rather than proven causation. The study recommends extending dashboards to real-time cost tracking, training staff to interpret analytics, and integrating data platforms to remove manual re-entry.