An Integrated Framework for Construction Project Analytics Using Autodesk Construction Cloud and Power BI

Authors

Chai Jing Tian

Faculty of Built Environment and Surveying, Universiti Teknologi Malaysia, 81300 Johor Bahru, Johor (Malaysia)

Tan Ke Enn

Faculty of Built Environment and Surveying, Universiti Teknologi Malaysia, 81300 Johor Bahru, Johor (Malaysia)

Nur Ain Raihana Binti Abdul Rahim

Faculty of Built Environment and Surveying, Universiti Teknologi Malaysia, 81300 Johor Bahru, Johor (Malaysia)

Nur Ain Maisarah Binti Nizam

Faculty of Built Environment and Surveying, Universiti Teknologi Malaysia, 81300 Johor Bahru, Johor (Malaysia)

Siti Jamilah Binti Ibrahim

Faculty of Built Environment and Surveying, Universiti Teknologi Malaysia, 81300 Johor Bahru, Johor (Malaysia)

Norhazren Izatie Mohd

Faculty of Built Environment and Surveying, Universiti Teknologi Malaysia, 81300 Johor Bahru, Johor (Malaysia)

Article Information

DOI: 10.47772/IJRISS.2026.1014MG0038

Subject Category: Technology

Volume/Issue: 10/14 | Page No: 464-474

Publication Timeline

Submitted: 2026-02-05

Accepted: 2026-02-14

Published: 2026-02-25

Abstract

This study aimed to develop an integrated digital platform to improve the effectiveness of cost control in construction projects. Cost control is an important process in construction project management to ensure expenses remain within the budget. However, cost control using manual methods often leads to many problems, including issues with cost accuracy and delays in project finances. Therefore, there is a need for a digital system to resolve these problems. In this study, an integrated digital cost control platform that combines Autodesk Construction Cloud (ACC) and Power BI Analytics was proposed. ACC is responsible for storing and managing the collected project data, while Power BI helps to generate a dashboard and report to show the project performance. By combining these two tools, project teams can monitor cost data in real time and make better decisions. This study included the system's development and demonstrated its application. The results of this study showed that the new system can resolve problems caused by the manual method, such as reducing human error, improving the accuracy of cost data, and ensuring transparency in cost reporting. Based on the findings, this study highlights the importance of adopting the integrated digital cost control platform to improve cost control in construction projects.

Keywords

Digital Cost Control, Construction Project Management, Real-Time Data Monitoring

Downloads

References

1. Ako, T. & Wanie, C. (2022). Rural-Urban Road Transportation Challenges on Food Security in Maroua, Far North Region of Cameroon. Current Urban Studies, 10, 697-717. doi: 10.4236/cus.2022.104041. [Google Scholar] [Crossref]

2. Bucheli, J. R., Bohara, A. K., & Villa, K. (2018). Paths to Development? Rural Roads and Multidimensional Poverty in the Hills and Plains of Nepal. Journal of International Development, 30 (3), 430-456. [Google Scholar] [Crossref]

3. Burke, W. J., Jayne, T. S., & Sitko, N. J. (2020). Do Medium-scale Farms Improve Market Access Conditions for Zambian Small-scale Farmers? Journal of Agricultural Economics, 71(2). https://doi.org/10.1111/1477-9552.12360 [Google Scholar] [Crossref]

4. Chen, L., Lu, Y., & Nanayakkara, A. (2023). Rural Road Connectivity and Local Economic Activity: Evidence from Sri Lanka’s Iroad Program. Transport Policy. https://doi.org/10.1016/j.tranpol.2023.09.022 [Google Scholar] [Crossref]

5. Cheng, W., Shao, J., Liu, C., & Song, W. (2025). The Impact of Highway Construction on the Profits of Agricultural Enterprises: Evidence from China. Agricultural Economics. . https://doi.org/10.1111/agec.70037 [Google Scholar] [Crossref]

6. Dumas, C., & Játiva, X. (2024). Better Roads, Better Off? Evidence on Upgrading Roads in Tanzania. The [Google Scholar] [Crossref]

7. World Bank Economic Review, Volume 39, Issue 1, Pages 104–123, https://doi.org/10.1093/wber/lhae017 [Google Scholar] [Crossref]

8. Ellis, F. (2000). Rural livelihoods and diversity in developing countries. Oxford: Oxford University Press. [Google Scholar] [Crossref]

9. Ewnetu, A. (2023). The Effect of Rural Road Access on Rural Households Livelihood Improvement: Evidence from Selected Weredas in Amhara Regional State, Ethiopia. Journal of African Development Studies, 10 (1), 47-63. https://doi.org/10.56302/jads.v10i1.8780 [Google Scholar] [Crossref]

10. Gebresilasse, M. (2023). Rural Roads, Agricultural Extension, and Productivity. Journal of Development Economics, 161, Article 103008. https://www.sciencedirect.com/science/article/pii/S0304387823000032 [Google Scholar] [Crossref]

11. Iimi, A. (2020). Performance-Based Road Contracts in Zambia. Review of Industrial Organization, 57(1). https://doi.org/10.1007/s11151-019-09714-5 [Google Scholar] [Crossref]

12. Isah, I., & Ibrahim, A. A. (2024). Influence of Rural Road Transportation on Farming Activities in Baruten Local Government Area, Kwara State, Nigeria. https://doi.org/10.35629/5252-0610441451 [Google Scholar] [Crossref]

13. Kamaludin, A. S., & Qibthiyyah, R. M. (2022). Village Road Quality and Accessibility on Transforming Rural Development. Agraris, 8(2). https://doi.org/10.18196/agraris.v8i2.13618 [Google Scholar] [Crossref]

14. Krugman, P. (1991). Increasing Returns and Economic Geography. Journal of Political Economy, 99(3), 483–499. [Google Scholar] [Crossref]

15. Kumar, S., llirjani, E., & Ukil, P. (2025). On the Road to a Better Life? Rural Road and Economic Development in Albania. European Journal of Development Research. https://doi.org/10.1057/s41287025-00720-w [Google Scholar] [Crossref]

16. Kundu, S., Kabir, M. E., Morgan, E. A., Davey, P., & Hossain, M., (2020). Building Coastal Agricultural Resilience in Bangladesh: A Systematic Review of Progress, Gaps and Implications. Climate, 8(9), 98. https://doi.org/10.3390/cli8090098 [Google Scholar] [Crossref]

17. Kwame, A. M., Dogbey, E., Arimeyaw W. A., & Owusu, A. F. S. (2019). Effect of Road Transport Accessibility on Agricultural Produce Marketing and Livelihoods of Farmers in the Kasena-Nankana West District of Ghana. The Journal of Development Practice, Volume 5 (Annual), 2019, ISSN: 2394-0476 [Google Scholar] [Crossref]

18. Nakamura, S., Bundervoet, T., & Nuru, M. (2019). Rural Roads, Poverty and Resilience: Evidence from Ethiopia. In Rural Roads, Poverty and Resilience: Evidence from Ethiopia. https://doi.org/10.1596/18139450-8800 [Google Scholar] [Crossref]

19. Natarajan, N., Newsham. A., Rigg J., & Suhardiman, D. (2024). Sustainable Livelihoods Framework for the 21st Century. World Development. https://doi.org/10.1016/j.worlddev.2022.105898 [Google Scholar] [Crossref]

20. Njenga, M., & Opiyo, R. (2021). Feeder Roads and Market Integration in Kenya’s Agricultural Corridors. East African Journal of Development Studies, 8(3), pp.212–228. [Google Scholar] [Crossref]

21. Olagunju, O., & Akinbile, L.A. (2020). Farmers’ perceptions of the Effect of Rural Transportation Systems on Farming Income in Ondo State, Nigeria. Sarhad Journal of Agriculture, 36(3): 985-994. [Google Scholar] [Crossref]

22. Pillay, M. R. (2023). The Impact of Road Infrastructure on Rural Development in South Africa. International Journal of Social Science Research and Review, 6(7), 566-574. https://doi.org/10.47814/ijssrr.v6i7.1539 [Google Scholar] [Crossref]

23. Scoones, I. (1998). Sustainable Rural Livelihoods: A Framework for Analysis. IDS Working Paper 72. Brighton: Institute of Development Studies. [Google Scholar] [Crossref]

24. Sitko, N. J., & Jayne, T. S. (2014). Structural Transformation or Elite Land Capture? The Growth of “Emergent” Farmers in Zambia. Food Policy, 48, 194–202. [Google Scholar] [Crossref]

25. Takada, S., Morikawa, S., Idei, R., & Kato, H. (2021). Impacts of Improvements in Rural Roads on Household Income through the Enhancement of Market Accessibility in Rural Areas of Cambodia. Transportation, 48(5). https://doi.org/10.1007/s11116-020-10150-8 [Google Scholar] [Crossref]

26. Tamene, L. & Megento, T. (2019). Transport Infrastructure and Small-scale Market Access: Evidence from Ethiopia. African Journal of Rural Development, 6(1), 34–49. [Google Scholar] [Crossref]

27. Tembo, S., & Chapoto, A. (2019). Constraints to Agricultural Technology Adoption in Zambia. Indaba Agricultural Policy Research Institute (IAPRI) Working Paper No. 136. [Google Scholar] [Crossref]

28. World Bank, (2020). Improved Rural Connectivity Project (IRCP) Zambia: Project Appraisal Document. Washington, DC: World Bank. [Google Scholar] [Crossref]

Metrics

Views & Downloads

Similar Articles