Impact of S4 HANA Upgrades on SAP FICO: A Case Study

Main Article Content

Dignesh Kumar Khatri
Shalu Jain
Om Goel

Abstract

The transition from traditional SAP ERP systems to SAP S/4HANA represents a significant shift in how organizations manage their financial and controlling (FICO) operations. This case study explores the impact of S/4HANA upgrades on the SAP FICO module within a global enterprise, focusing on the improvements in financial processes, the challenges encountered, and the strategies employed to mitigate these challenges. S/4HANA, with its in-memory computing capabilities, offers enhanced performance, real-time analytics, and simplified data models, which fundamentally alter the landscape of financial management.
This study begins by outlining the motivations behind the organization's decision to upgrade to S/4HANA, including the need for enhanced data processing speed, better integration capabilities, and compliance with evolving regulatory standards. It then delves into the preparatory steps taken by the organization, such as the assessment of the existing SAP FICO landscape, stakeholder engagement, and the establishment of a project management office to oversee the upgrade process.
One of the critical areas examined in this case study is the transformation of financial reporting and analytics. With S/4HANA, the organization experienced a significant reduction in the time required to generate financial reports, thanks to the system's ability to process large volumes of data in real time. This improvement not only enhanced the accuracy and timeliness of financial information but also empowered decision-makers with actionable insights derived from advanced analytics tools integrated within S/4HANA.
Another key focus of the study is the impact of S/4HANA on cost controlling and budgeting processes. The organization leveraged S/4HANA's advanced cost allocation features to streamline its budgeting processes, resulting in more accurate forecasting and better alignment between financial planning and actual performance. The integration of predictive analytics further enhanced the organization's ability to anticipate and respond to financial risks, leading to more informed decision-making.
However, the transition to S/4HANA was not without challenges. The case study highlights several obstacles encountered during the upgrade process, including data migration issues, the need for extensive staff training, and the complexities of integrating S/4HANA with legacy systems. These challenges necessitated a phased approach to the upgrade, with continuous monitoring and adjustment to ensure minimal disruption to business operations.
In response to these challenges, the organization implemented a comprehensive change management strategy, which included targeted training programs for SAP FICO users, the development of custom tools to facilitate data migration, and the establishment of a support structure to address post-upgrade issues. The case study also discusses the role of external consultants in guiding the organization through the upgrade process and ensuring that best practices were followed.
The study concludes by assessing the overall impact of the S/4HANA upgrade on the organization's financial and controlling operations. While the transition involved significant upfront costs and required substantial effort in change management, the long-term benefits in terms of improved efficiency, enhanced decision-making capabilities, and better financial control far outweighed these challenges. The case study provides valuable insights for other organizations considering an upgrade to S/4HANA, emphasizing the importance of thorough planning, stakeholder engagement, and ongoing support to ensure a successful transition.

Article Details

How to Cite
Khatri, D. K., Jain, S., & Goel, O. (2024). Impact of S4 HANA Upgrades on SAP FICO: A Case Study. Journal of Quantum Science and Technology, 1(3), 42–56. https://doi.org/10.36676/jqst.v1.i3.26
Section
Original Research Articles

References

Adams, R., & Bell, J. (2021). The impact of SAP S/4HANA on medium-sized enterprises: A case study. Global Business Review, 17(5), 60-72. https://doi.org/10.1177/0972150919834572

Kumar, S., Jain, A., Rani, S., Ghai, D., Achampeta, S., & Raja, P. (2021, December). Enhanced SBIR based Re-Ranking and Relevance Feedback. In 2021 10th International Conference on System Modeling & Advancement in Research Trends (SMART) (pp. 7-12). IEEE.

Jain, A., Singh, J., Kumar, S., Florin-Emilian, Ț., Traian Candin, M., & Chithaluru, P. (2022). Improved recurrent neural network schema for validating digital signatures in VANET. Mathematics, 10(20), 3895.

Kumar, S., Haq, M. A., Jain, A., Jason, C. A., Moparthi, N. R., Mittal, N., & Alzamil, Z. S. (2023). Multilayer Neural Network Based Speech Emotion Recognition for Smart Assistance. Computers, Materials & Continua, 75(1).

Misra, N. R., Kumar, S., & Jain, A. (2021, February). A review on E-waste: Fostering the need for green electronics. In 2021 international conference on computing, communication, and intelligent systems (ICCCIS) (pp. 1032-1036). IEEE.

Jain, A., Dwivedi, R., Kumar, A., & Sharma, S. (2017). Scalable design and synthesis of 3D mesh network on chip. In Proceeding of International Conference on Intelligent Communication, Control and Devices: ICICCD 2016 (pp. 661-666). Springer Singapore.

Kumar, A., & Jain, A. (2021). Image smog restoration using oblique gradient profile prior and energy minimization. Frontiers of Computer Science, 15(6), 156706.

Jain, A., Bhola, A., Upadhyay, S., Singh, A., Kumar, D., & Jain, A. (2022, December). Secure and Smart Trolley Shopping System based on IoT Module. In 2022 5th International Conference on Contemporary Computing and Informatics (IC3I) (pp. 2243-2247). IEEE.

Pandya, D., Pathak, R., Kumar, V., Jain, A., Jain, A., & Mursleen, M. (2023, May). Role of Dialog and Explicit AI for Building Trust in Human-Robot Interaction. In 2023 International Conference on Disruptive Technologies (ICDT) (pp. 745-749). IEEE.

Rao, K. B., Bhardwaj, Y., Rao, G. E., Gurrala, J., Jain, A., & Gupta, K. (2023, December). Early Lung Cancer Prediction by AI-Inspired Algorithm. In 2023 10th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON) (Vol. 10, pp. 1466-1469). IEEE.

Radwal, B. R., Sachi, S., Kumar, S., Jain, A., & Kumar, S. (2023, December). AI-Inspired Algorithms for the Diagnosis of Diseases in Cotton Plant. In 2023 10th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON) (Vol. 10, pp. 1-5). IEEE.

Jain, A., Rani, I., Singhal, T., Kumar, P., Bhatia, V., & Singhal, A. (2023). Methods and Applications of Graph Neural Networks for Fake News Detection Using AI-Inspired Algorithms. In Concepts and Techniques of Graph Neural Networks (pp. 186-201). IGI Global.

Rao, P. R., Goel, L., & Kushwaha, G. S. (2023). Analyzing data and creating reports with Power BI: Methods and case studies. International Journal of New Technology and Innovation, 1(9), a1-a15. https://rjpn.org/ijntri/viewpaperforall.php?paper=IJNTRI2309001

"A Comprehensive Guide to Kubernetes Operators for Advanced Deployment Scenarios", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.11, Issue 4, pp.a111-a123, April 2023, Available at : http://www.ijcrt.org/papers/IJCRT2304091.pdf

Kumar, S., Haq, M. A., Jain, A., Jason, C. A., Moparthi, N. R., Mittal, N., & Alzamil, Z. S. (2023). Multilayer Neural Network Based Speech Emotion Recognition for Smart Assistance. Computers, Materials & Continua, 75(1).

Ayyagiri, A; GopalaKrishna Pandian, P. K & Goel, P (2024). Efficient Data Migration Strategies in Sharded Databases. Journal of Quantum Science and Technology, 1(2), 72-87. DOI: https://doi.org/10.36676/jqst.v1.i2.17

Tangudu, A; Jain, S & GopalaKrishna Pandian, P. K (2024). Best Practices for Ensuring Salesforce Application Security and Compliance. Journal of Quantum Science and Technology, 1(2), 88-101. DOI: https://doi.org/10.36676/jqst.v1.i2.18

Krishna Murthy, K. K; Khan; S & Goel O (2024). Leadership in Technology: Strategies for Effective Global IT Operations Management. Journal of Quantum Science and Technology, 1(3), 1-9. DOI: https://doi.org/10.36676/jqst.v1.i3.23

Avancha, S; Aggarwal, A & Goel, P (2024). Data-Driven Decision Making in IT Service Enhancement. Journal of Quantum Science and Technology, 1(3), 10-24. DOI: https://doi.org/10.36676/jqst.v1.i3.24

Chinta, U; Chhapola, A & Jain, S (2024). Integration of Salesforce with External Systems: Best Practices for Seamless Data Flow. Journal of Quantum Science and Technology, 1(3), 25-41. DOI: https://doi.org/10.36676/jqst.v1.i3.25

Jain, A., Rani, I., Singhal, T., Kumar, P., Bhatia, V., & Singhal, A. (2023). Methods and Applications of Graph Neural Networks for Fake News Detection Using AI-Inspired Algorithms. In Concepts and Techniques of Graph Neural Networks (pp. 186-201). IGI Global.

Dasaiah Pakanati,, Prof.(Dr.) Punit Goel,, Prof.(Dr.) Arpit Jain. (2023, March). Optimizing Procurement Processes: A Study on Oracle Fusion SCM. IJRAR - International Journal of Research and Analytical Reviews (IJRAR), 10(1), 35-47. http://www.ijrar.org/IJRAR23A3238.pdf

"Advanced API Integration Techniques Using Oracle Integration Cloud (OIC)". (2023, April). International Journal of Emerging Technologies and Innovative Research (www.jetir.org), 10(4), n143-n152. http://www.jetir.org/papers/JETIR2304F21.pdf

Pakanati, D., Goel, E. L., & Kushwaha, D. G. S. (2023). Implementing cloud-based data migration: Solutions with Oracle Fusion. Journal of Emerging Trends in Network and Research, 1(3), a1-a11. https://rjpn.org/jetnr/viewpaperforall.php?paper=JETNR2303001

Pattabi Rama Rao, Er. Priyanshi, & Prof.(Dr) Sangeet Vashishtha. (2023). Angular vs. React: A comparative study for single page applications. International Journal of Computer Science and Programming, 13(1), 875-894. https://rjpn.org/ijcspub/viewpaperforall.php?paper=IJCSP23A1361

Rao, P. R., Goel, P., & Renuka, A. (2023). Creating efficient ETL processes: A study using Azure Data Factory and Databricks. The International Journal of Engineering Research, 10(6), 816-829. https://tijer.org/tijer/viewpaperforall.php?paper=TIJER2306330

Rao, P. R., Pandey, P., & Siddharth, E. (2024, August). Securing APIs with Azure API Management: Strategies and implementation. International Research Journal of Modernization in Engineering Technology and Science (IRJMETS), 6(8). https://doi.org/10.56726/IRJMETS60918

Prakash, S, Sharma, MK, and Singh, A. “Pareto optimal solutions for multi-objective generalized assignment problem: general article”. In: South African Journal of Industrial Engineering 21.2 (2010), pp. 91–100. https://hdl.handle.net/10520/EJC46251

Pakanati, D., Singh, S. P., & Singh, T. (2024). Enhancing financial reporting in Oracle Fusion with Smart View and FRS: Methods and benefits. International Journal of New Technology and Innovation (IJNTI), 2(1), Article IJNTI2401005. https://tijer.org/tijer/viewpaperforall.php?paper=TIJER2110001

Cherukuri, H., Chaurasia, A. K., & Singh, T. (2024). Integrating machine learning with financial data analytics. Journal of Emerging Trends in Networking and Research, 1(6), a1-a11. https://rjpn.org/jetnr/viewpaperforall.php?paper=JETNR2306001

Cherukuri, H., Goel, P., & Renuka, A. (2024). Big-Data tech stacks in financial services startups. International Journal of New Technologies and Innovations, 2(5), a284-a295. https://rjpn.org/ijnti/viewpaperforall.php?paper=IJNTI2405030

Kanchi, P., Goel, O., & Gupta, P. (2024). Data migration strategies for SAP PS: Best practices and case studies. International Research Journal of Modernization in Engineering Technology and Science (IRJMETS), 7(1), 96-109. https://doi.org/10.56726/IRJMETS60123

Goel, P., Singh, T., & Rao, P. R. (2024). Automated testing strategies in Oracle Fusion: Enhancing system efficiency. Journal of Emerging Technologies and Innovative Research, 11(4), 103-118. https://doi.org/10.56726/JETIR2110004

Singh, T., & Gupta, P. (2024). Securing Oracle Fusion Cloud with Advanced Encryption Techniques. Journal of Data and Network Security, 12(1), 7-22. https://doi.org/10.56726/JDNS2401001

Kaur, J., Khehra, B.S., Singh, A. (2022). Significance of Fuzzy Logic in the Medical Science. In: Bansal, J.C., Engelbrecht, A., Shukla, P.K. (eds) Computer Vision and Robotics. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-16-8225-4_38

Gorrepati, N., & Tummala, S. R. (2024). A Case Report on Antiphospholipid Antibody Syndrome with Chronic Pulmonary Embolism Secondary to Deep Vein Thrombosis and Thrombocytopenia: Case report. Journal of Pharma Insights and Research, 2(2), 272-274.

Gorrepati, N., Quazi, F., Mohammed, PhD, A. S., & Avacharmal, R. (2024). Use of Nanorobots in Neuro chemotherapy diagnosis in human. International Journal of Global Innovations and Solutions (IJGIS). https://doi.org/10.21428/e90189c8.7a880e58

Quazi, F., Mohammed, PhD, A. S., & Gorrepati, N. (2024). Transforming Treatment and Diagnosis in Healthcare through AI. International Journal of Global Innovations and Solutions (IJGIS). https://doi.org/10.21428/e90189c8.072ffbe8

Quazi, F., Khanna, A., nalluri, S., & Gorrepati, N. (2024). Data Security & Privacy in Healthcare. International Journal of Global Innovations and Solutions (IJGIS). https://doi.org/10.21428/e90189c8.4e2c586a

Hemanth Swamy. Azure DevOps Platform for Application Delivery and Classification using Ensemble Machine Learning. Authorea. July 15, 2024. DOI: https://doi.org/10.22541/au.172107338.89425605/v1

Swamy, H. (2022). Software quality analysis in edge computing for distributed DevOps using ResNet model. International Journal of Science, Engineering and Technology, 9(2), 1-9. https://doi.org/10.61463/ijset.vol.9.issue2.193

Swamy, H. (2024). A blockchain-based DevOps for cloud and edge computing in risk classification. International Journal of Scientific Research & Engineering Trends, 10(1), 395-402. https://doi.org/10.61137/ijsret.vol.10.issue1.180

Parameshwar Reddy Kothamali, Vinod Kumar Karne, & Sai Surya Mounika Dandyala. (2024). Integrating AI and Machine Learning in Quality Assurance for Automation Engineering. International Journal for Research Publication and Seminar, 15(3), 93–102. https://doi.org/10.36676/jrps.v15.i3.1445

Kumar, A. V., Joseph, A. K., Gokul, G. U. M. M. A. D. A. P. U., Alex, M. P., & Naveena, G. (2016). Clinical outcome of calcium, Vitamin D3 and physiotherapy in osteoporotic population in the Nilgiris district. Int J Pharm Pharm Sci, 8, 157-60.

UNSUPERVISED MACHINE LEARNING FOR FEEDBACK LOOP PROCESSING IN COGNITIVE DEVOPS SETTINGS. (2020). JOURNAL OF BASIC SCIENCE AND ENGINEERING, 17(1). https://yigkx.org.cn/index.php/jbse/article/view/225

Similar Articles

1 2 3 > >> 

You may also start an advanced similarity search for this article.

Most read articles by the same author(s)