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Operationalizing SME Growth: Developing a Low-Cost, Integrated Dashboard System for Real-Time Monitoring and Business Process Optimization
Subject area: Science,Engineering and Technology · Area of research: Information Systems
DOI: https://doi.org/10.64388/IREV9I8-1714447
Abstract
Small and medium enterprises (SMEs) also face major problems in their operation efficiency as vital data is scattered over a number of data applications, some of them chief of functional use, such as Enterprise Resource Planning (ERP) and Customer Relationship Management (CRM). Traditional business intelligence (BI) systems are either prohibitively costly (via a subscription-based feature) or technologically complicated, fostering a reliance on old data, and reducing the ability to efficiently process data and respond sufficiently to data-driven decisions in response to market shifts. In order to enable advanced analytics, this study proposes a combination of dashboard system that can be implemented to optimize business process. The framework is based on a component-based design (CBD) architecture that uses React, Refine, GraphQL and TypeScript, thus facilitates modularity and scalability, which is essential in integrating real-time data to a unified platform using heterogeneous data streams. Through stringent design standards, the platform provides Key Performance Indicators (KPIs) in the form of intuitive visualization, which is low-cognitive load and offers better user experience. The subsequent low-cost solution offers SMEs low-cost, real-time monitoring and proactive response solutions. It guarantees data consistency, cross-functional visibility (key results of successful integration of ERP-CRM) and improves operational efficiency a lot, increases the responsiveness of strategies.
Keywords
Agile, Cross-functional visibility, Data consistency, Heterogeneous data streams, Integrated Dashboard System, Modularity, Real-time data integration, Scalability, Unified platform
References
[1] Mgbame, A. C., Akpe, O. E., Abayomi, A. A., Ogbuefi, E., & Adeyelu, O. O. (2022). Developing Low-Cost Dashboards for Business Process Optimization in SMEs. International Journal of Management and Organizational Research, 1(1), 214–230. https://doi.org/10.54660/IJMOR.2022.1.1.214-230
[2] Ogbuefi, E., Mgbame, A. C., Akpe, O. E., Abayomi, A. A., & Adeyelu, O. O. (2024). Operationalizing SME Growth through Real-Time Data Visualization and Analytics. International Journal of Advanced Multidisciplinary Research and Studies, 4(6), 2033–2054. https://doi.org/10.62225/2583049X.2024.4.6.4251
[3] Garzoni, A., Turi, I., Secundo, G., & Vecchio, P. (2020). Fostering digital transformation of SMEs: a four levels approach. Management Decision, 58(8), 1543–1562. https://doi.org/10.1108/md-07-2019-0939
[4] Gudfinnsson, K., & Strand, M. (2017). Challenges with BI adoption in SMEs. 2017 IEEE 8th International Conference on Information, Intelligence, Systems & Applications (IISA), 1–6. https://doi.org/10.1109/iisa.2017.8316407
[5] Ingaldi, M., & Ulewicz, R. (2019). Problems with the implementation of industry 4.0 in enterprises from the SME sector. Sustainability, 12(1), 217. https://doi.org/10.3390/su12010217
[6] Wee, M., Scheepers, H., & Tian, X. (2022). The role of leadership skills in the adoption of business intelligence and analytics by SMEs. Information Technology and People, 36(4), 1439–1458. https://doi.org/10.1108/itp-09-2021-0669
[7] Filani, O. M., Olajide, J. O., & Osho, G. O. (2020). Designing an Integrated Dashboard System for Monitoring Real-Time Sales and Logistics KPIs. International Journal of Multidisciplinary Research and Growth Evaluation, 1(4), 77–83. https://doi.org/10.54660/.IJMRGE.2020.1.4.77-83
[8] Martins, N., Martins, S., & Brandão, D. (2022). Design Principles in the Development of Dashboards for Business Management. Perspectives on Design II, 377–391. Springer. https://doi.org/10.1007/978-3-030-79879-6_26
[9] Yigitbasioglu, O. M., & Velcu, O. (2012). A review of dashboards in performance management: implications for design and research. International Journal of Accounting Information Systems, 13(1), 41–59. https://doi.org/10.1016/j.accinf.2011.08.002
[10] Pauwels, K., Ambler, T., Clark, B. H., LaPointe, P., Reibstein, D., Skiera, B., et al. (2009). Dashboards as a service: why, what, how, and what research is needed? Journal of Service Research, 12(2), 175–189. https://doi.org/10.1177/1094670509344213
[11] Eckerson, W. W. (2010). Performance dashboards: measuring, monitoring, and managing your business. John Wiley & Sons. https://doi.org/10.1002/9781119199984
[12] Kamaruddin, N., Safiyah, R., & Wahab, A. (2020). Small and medium enterprise business solutions using data visualization. Bulletin of Electrical Engineering and Informatics, 9(6), 2562–2568. https://doi.org/10.11591/eei.v9i6.2463
[13] Tomić, Ž., & Jovanović, M. (2016). ERP and CRM Data Integration. Management: Journal of Sustainable Business and Management Solutions in Emerging Economies, (78), 63–72.https://doi.org/10.7595/management.fon.2016.0008
[14] Hossain, M. Z., Sultana, S., Nahiduzzaman, A. K. M., & Jalil, M. A. (2025). Evaluating the Effectiveness of ERP and CRM Integration on Enhancing Customer Experience in the Digital Business Ecosystem. Pacific Journal of Business Innovation and Strategy, 2(2), 11–21. https://doi.org/10.70818/pjbis.2025.v02i02.040
[15] Cheng, L.-Y., & Yang, C.-W. (2013). Conceptual analysis and implementation of an integrated CRM system for service providers. Service Business, 7(2), 307–328. https://doi.org/10.1007/s11628-012-0160-z
[16] Mahmood, F., Khan, A. Z., & Bokhari, R. H. (2020). ERP issues and challenges: a research synthesis. Kybernetes, 49(3), 629–659. https://doi.org/10.1108/K-08-2019-0538
[17] Mokha, A. K., & Kumar, P. (2022). Examining the interconnections between E-CRM, customer experience, customer satisfaction and customer loyalty: A mediation approach. Journal of Electronic Commerce in Organizations (JECO), 20(1), 1–21.
[18] Kim, J., Suh, E., & Hwang, H. (2003). A model for evaluating the effectiveness of CRM using the balanced scorecard. Journal of Interactive Marketing, 17(2), 5–19. https://doi.org/10.1002/dir.10056
[19] Overes, E., & Santoro, F. M. (2023). The Effectiveness of Business Process Visualisations: a Systematic Literature Review. Business Process Management Journal, [Preprint/Conference Paper].
[20] Dani, V. S., Freitas, C. M. D. S., & Thom, L. H. (2019). Ten years of visualization of business process models: A systematic literature review. Computer Standards & Interfaces, 66, 103347. https://doi.org/10.1016/j.csi.2019.04.005
[21] Figl, K. (2017). Comprehension of procedural visual business process models: a literature review. Business & Information Systems Engineering, 59, 41–67. https://doi.org/10.1007/s12599-016-0460-2
[22] Kopp, A., & Orlovskyi, D. (2017). An Approach to Forming Dashboards for Business Process Indicators Analysis using Fuzzy and Semantic Technologies. Bulletin of NTU "KhPI". Series: System analysis, control and information technology, 51, 44–52.
[23] Sapry, H., & Yusof, S. (2019). The performance of challenges faced by sme in managing real-time information in the inventory management process. International Journal of Innovative Technology and Exploring Engineering, 8(12), 5614–5618. https://doi.org/10.35940/ijitee.l4021.1081219
[24] Few, S. (2006). Information dashboard design: The effective visual communication of data. O’Reilly Media.
How to cite this paper
@article{1714447,
author = {Uday Kiran K, Balaji S, Umamaheswararao S},
title = {Operationalizing SME Growth: Developing a Low-Cost, Integrated Dashboard System for Real-Time Monitoring and Business Process Optimization},
journal = {Iconic Research And Engineering Journals},
year = {2026},
volume = {9},
number = {8},
pages = {1311-1318},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1714447.pdf},
abstract = {Small and medium enterprises (SMEs) also face major problems in their operation efficiency as vital data is scattered over a number of data applications, some of them chief of functional use, such as Enterprise Resource Planning (ERP) and Customer Relationship Management (CRM). Traditional business intelligence (BI) systems are either prohibitively costly (via a subscription-based feature) or technologically complicated, fostering a reliance on old data, and reducing the ability to efficiently process data and respond sufficiently to data-driven decisions in response to market shifts. In order to enable advanced analytics, this study proposes a combination of dashboard system that can be implemented to optimize business process. The framework is based on a component-based design (CBD) architecture that uses React, Refine, GraphQL and TypeScript, thus facilitates modularity and scalability, which is essential in integrating real-time data to a unified platform using heterogeneous data streams. Through stringent design standards, the platform provides Key Performance Indicators (KPIs) in the form of intuitive visualization, which is low-cognitive load and offers better user experience. The subsequent low-cost solution offers SMEs low-cost, real-time monitoring and proactive response solutions. It guarantees data consistency, cross-functional visibility (key results of successful integration of ERP-CRM) and improves operational efficiency a lot, increases the responsiveness of strategies.},
keywords = {Agile, Cross-functional visibility, Data consistency, Heterogeneous data streams, Integrated Dashboard System, Modularity, Real-time data integration, Scalability, Unified platform},
month = {February},
doi = {https://doi.org/10.64388/IREV9I8-1714447}
}