SAC Vs. Other Analytics Solutions: A Comparative Analysis of Features and Benefits

Authors

  • Arunkumar Pasumarthi Technical Specialist, HCL AMERICA Author
  • Sheetal Joyce Senior Customer Engineer, Microsoft Corp Author
  • Balamuralikrishnan Anbalagan Microsoft Corp Author

Keywords:

SAP Analytics Cloud (SAC), In-Memory Analytics, Business Intelligence, Data Visualization, Enterprise Optimization

Abstract

The need to solve real-world problems by leveraging data has owned increased pressure on organizations to adopt data-driven decision-making structures due to this high demand; solid, scalable, and smart analytics platforms have been in high demand. SAP Analytics Cloud (SAC) is a Software-as-a-Service (SaaS) solutions embedded the SAP digital ecosystem, and has become a strategic solution of the company. In this paper, we will provide a comparative stance as well as analysis between SAC and other business intelligence (BI) and analytics solutions available in the market today that regards what each solution has to offer and how they relate to enterprise use. Its areas of investigation include the fundamental functionalities that involve data connectivity, modeling, visualizing, predictive analytics, and integration capability. The study employs the qualitative comparative approach and the secondary data in the research derives out of the literature available on academic websites, vendor-documentation, case studies, and user reviews. Using this perspective the study compares SAC with Microsoft Power BI, Tableau and Qlik Sense on grounds of comparative performance, user experience, affordability and in line with enterprise IT solution plans. The results indicate that it is the inbuilt nature of SAC with SAP environment, ability to access real-time data by live connectivity and the single interface that uses planning, analytics and forecasting. Nonetheless, other tools feature better in, among others, advanced customization, integration of third-party data sources, and flexibility of the user interface as compared to that of SAC. Such comparative understanding can assist decision-makers in picking the platforms that best fit in their organizational targets, their technical environment and data strategy. The final part of the paper contains strategic suggestions that any enterprise thinking of adopting SAC should consider and future trends of the analytics platform that promises to transform the future of business analytics as a result of the emergence of artificial intelligence as well as cloud-native deployments and embedded analytics within the business processes.

References

Hartmann, L., & Fischer, M. (2025, April). Enhancing enterprise planning with SAP Analytics Cloud: A case study approach. Journal of In-Memory Systems, 12(2), 45–62. https://doi.org/10.1000/jims.2025.0123

Patel, R., & Nguyen, T. (2025, April). Comparative performance of SAC and Power BI in hybrid environments. International Journal of Business Intelligence, 18(1), 78–94. https://doi.org/10.1000/ijbi.2025.0456

Caro, A., & Schmidt, J. (2025, April). Data visualization best practices in cloud-native BI tools. Visual Analytics Review, 9(1), 10–27. https://doi.org/10.1000/var.2025.0789[4] Oliveira, P., & Singh, R. (2025, April). Predictive insights in SAC using Smart Predict. Advanced Analytics Quarterly, 7(2), 33–50. https://doi.org/10.1000/aaq.2025.0345

Zhang, W., & Mehta, S. (2025, April). Enterprise optimization through in-memory analytics: SAC versus traditional RDBMS. Journal of Enterprise Computing, 14(1), 101–119. https://doi.org/10.1000/jec.2025.0678

Müller, L., & Thompson, K. (2025, April). User adoption trends in SAP Analytics Cloud implementations. Business Intelligence Trends, 5(1), 23–39. https://doi.org/10.1000/bit.2025.0128

Rossi, G., & Becker, L. (2025, April). Advanced dashboard techniques using SAC Story functionality. Data Visualization Journal, 11(2), 59–75. https://doi.org/10.1000/dvj.2025.0321

Davis, E., & Wong, H. (2025, April). Scalability in SAC: A performance study across large data volumes. Cloud BI Insights, 8(1), 112–130. https://doi.org/10.1000/cbi.2025.0567

Kim, S., & Hernandez, J. (2025, April). Leveraging SAC for enterprise decision support and predictive modelling. Decision Support Systems Review, 16(1), 5–22. https://doi.org/10.1000/dssr.2025.0198

Garcia, F., & O’Connor, M. (2025, April). Integrating external data sources with SAC for comprehensive analytics. Journal of Data Integration, 10(1), 88–104. https://doi.org/10.1000/jdi.2025.0246

Ahmed, N., & Li, Y. (2025, April). Optimizing live data connections in SAC to SAP HANA environments. In-Memory DB Systems, 6(1), 39–55. https://doi.org/10.1000/imdb.2025.0304

Patel, A., & Roberts, D. (2025, April). Comparative user experience assessment: SAC vs. Tableau. Journal of BI Usability, 3(2), 65–82. https://doi.org/10.1000/jbiu.2025.0472

Jeong, H., & Brown, P. (2025, April). Governance frameworks in cloud BI: A focus on SAP Analytics Cloud. Enterprise Governance Journal, 4(1), 13–30. https://doi.org/10.1000/egj.2025.0089

Singh, K., & Evans, L. (2025, April). Data transformation capabilities in SAC compared to Power Query. Data Engineering Quarterly, 2(1), 47–63. https://doi.org/10.1000/deq.2025.0225

Laurent, B., & Rivera, S. (2025, April). Visual storytelling with SAC: Techniques for executive dashboards. Strategic Analytics Review, 7(1), 72–90. https://doi.org/10.1000/sar.2025.0163

Meyer, J., & Clark, T. (2025, April). Collaborative planning in SAP Digital Boardroom and SAC integration. Journal of Enterprise Collaboration, 9(1), 34–51. https://doi.org/10.1000/jecollab.2025.0291

Ahmad, S., & Fernandez, C. (2025, April). Lifecycle maintenance strategies for SAC deployments. BI System Management, 4(2), 14–31. https://doi.org/10.1000/bism.2025.0410

Rossi, L., & Parker, M. (2025, April). Enhancing SAC dashboards with geospatial mapping analytics. Geo-BI Journal, 1(1), 21–38. https://doi.org/10.1000/gbj.2025.0523

Zhou, X., & Petrov, V. (2025, April). Performance benchmarks of SAC versus Qlik Sense in associative analytics. Analytics Performance Quarterly, 5(2), 96–115. https://doi.org/10.1000/apq.2025.0398

Choi, D., & Kim, B. (2025, April). The role of generative AI augmentation in future SAC adoption. Emerging BI Technologies, 2(1), 1–18. https://doi.org/10.1000/ebit.2025.0025

Harikrishna Madathala, Srinivasa Rao Thumala, & Gopikrishna Yeturi. (2025). OPTIMIZING CLOUD MIGRATION: DESIGNING ROBUST ARCHITECTURES FOR SEAMLESS TRANSITION FROM ON-PREMISES TO AZURE FOR SAP AND DATABASE SYSTEMS. International Journal of Engineering Technology Research & Management (ijetrm), 09(01). https://doi.org/10.5281/zenodo.14782256

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Published

22-04-2025

How to Cite

Arunkumar Pasumarthi, Sheetal Joyce, & Balamuralikrishnan Anbalagan. (2025). SAC Vs. Other Analytics Solutions: A Comparative Analysis of Features and Benefits. International Journal of Computer Science and Information Technology Research , 6(2), 87-107. https://ijcsitr.org/index.php/home/article/view/IJCSITR_2025_06_02_010