SAP FICO in Financial Consolidation: SEM-BCS and EC-CS Integration

Authors

  • Dignesh Kumar Khatri Independent Researcher, 76, Purshottam Nagar, Nr. Anandwadi Bus Stop, Isanpur, Ahmedabad - 382443 Gujarat, India,
  • Prof.(Dr.) Punit Goel Research Supervisor , Maharaja Agrasen Himalayan Garhwal University, Uttarakhand,
  • Ujjawal Jain Birmingham City University

DOI:

https://doi.org/10.36676/dira.v12.i1.74

Keywords:

SAP FICO, Financial Consolidation, SEM-BCS, EC-CS Integration, Financial Reporting, IFRS

Abstract

In the dynamic landscape of financial management, organizations face increasing challenges in consolidating financial statements across various subsidiaries and entities. SAP FICO (Financial Accounting and Controlling) plays a pivotal role in enabling accurate and efficient financial consolidation. Two of the most widely used SAP solutions for this purpose are SAP SEM-BCS (Strategic Enterprise Management - Business Consolidation System) and EC-CS (Enterprise Controlling - Consolidation System). The integration of SEM-BCS and EC-CS within the SAP FICO environment offers a robust framework for achieving streamlined financial consolidation, compliance with global accounting standards, and enhanced financial reporting.

SEM-BCS is designed to support comprehensive financial consolidation processes, enabling organizations to collect, process, and present financial data in a consistent manner. It is particularly adept at handling complex consolidation requirements, including intercompany eliminations, minority interest calculations, and currency translations. SEM-BCS also supports various consolidation scenarios, such as legal, management, and ownership-based consolidations, making it a versatile tool for multinational corporations. On the other hand, EC-CS serves as a flexible consolidation system within the SAP landscape, offering capabilities for consolidating financial data across multiple organizational units. EC-CS is known for its ease of use and its integration with other SAP modules, such as SAP FICO and SAP BW (Business Warehouse). It provides essential features like automated data collection, intercompany reconciliation, and consolidation adjustments, ensuring that financial statements are accurate and compliant with standards such as IFRS and US GAAP.

References

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.

Kumar, S., Shailu, A., Jain, A., & Moparthi, N. R. (2022). Enhanced method of object tracing using extended Kalman filter via binary search algorithm. Journal of Information Technology Management, 14(Special Issue: Security and Resource Management challenges for Internet of Things), 180-199.

Harshitha, G., Kumar, S., Rani, S., & Jain, A. (2021, November). Cotton disease detection based on deep learning techniques. In 4th Smart Cities Symposium (SCS 2021) (Vol. 2021, pp. 496-501). IET.

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.

Bansal, A., Jain, A., & Bharadwaj, S. (2024, February). An Exploration of Gait Datasets and Their Implications. In 2024 IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS) (pp. 1-6). IEEE.

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).

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

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

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. (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

Bipin Gajbhiye, Shalu Jain, & Om Goel. (2023). Defense in Depth Strategies for Zero Trust Security Models. Darpan International Research Analysis, 11(1), 27–39. https://doi.org/10.36676/dira.v11.i1.70

Kumar Kodyvaur Krishna Murthy, Om Goel, & Shalu Jain. (2023). Advancements in Digital Initiatives for Enhancing Passenger Experience in Railways. Darpan International Research Analysis, 11(1), 40–60. https://doi.org/10.36676/dira.v11.i1.71

Aravindsundeep Musunuri, Shalu Jain, & Anshika Aggarwal. (2023). Characterization and Validation of PAM4 Signaling in Modern Hardware Designs. Darpan International Research Analysis, 11(1), 60–74. https://doi.org/10.36676/dira.v11.i1.72

Umababu Chinta, Shalu Jain, & Pandi Kirupa Gopalakrishna Pandian. (2024). Effective Delivery Management in Geographically Dispersed Teams: Overcoming Challenges in Salesforce Projects. Darpan International Research Analysis, 12(1), 35–50. https://doi.org/10.36676/dira.v12.i1.73

Downloads

Published

2024-03-30
CITATION
DOI: 10.36676/dira.v12.i1.74
Published: 2024-03-30

How to Cite

Dignesh Kumar Khatri, Prof.(Dr.) Punit Goel, & Ujjawal Jain. (2024). SAP FICO in Financial Consolidation: SEM-BCS and EC-CS Integration. Darpan International Research Analysis, 12(1), 51–64. https://doi.org/10.36676/dira.v12.i1.74