Integrating Salesforce with Third-Party Platforms Challenges and Best Practices

Abhishek Tangudu; Shalu Jain; Akshun Chhapola

doi:10.36676/jrps.v14.i4.1478

Authors

Abhishek Tangudu Independent Researcher, Flat No:505, Ycs Kranti Mansion, New Colony, Srikakulam, Andhra Pradesh, India - 532001,
Shalu Jain Reserach Scholar, Maharaja Agrasen Himalayan Garhwal University, Pauri Garhwal, Uttarakhand
Akshun Chhapola Independent Researcher, Delhi Technical University, Delhi

DOI:

https://doi.org/10.36676/jrps.v14.i4.1478

Keywords:

Salesforce integration, third-party platforms, data synchronization, API limitations, security, compliance, operational challenges

Abstract

Integrating Salesforce with third-party platforms is a critical strategy for organizations seeking to streamline operations, enhance customer engagement, and drive business growth. However, this integration poses several challenges that need careful consideration. These challenges include data synchronization issues, API limitations, security concerns, and the complexities of managing multiple systems simultaneously. Data synchronization is often a primary concern, as inconsistencies can lead to inaccurate reporting, customer dissatisfaction, and operational inefficiencies. Ensuring real-time data flow between Salesforce and other platforms necessitates a robust and reliable integration framework that can handle the volume and velocity of data while maintaining data integrity.

References

Brown, J., & Smith, R. (2019). Data Security in Integrated Systems: Balancing Compliance and Functionality. Journal of Information Security, 14(2), 102-115.

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. DOI: https://doi.org/10.1007/978-981-10-1708-7_75

Kumar, A., & Jain, A. (2021). Image smog restoration using oblique gradient profile prior and energy minimization. Frontiers of Computer Science, 15(6), 156706. DOI: https://doi.org/10.1007/s11704-020-9305-8

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. DOI: https://doi.org/10.1109/IC3I56241.2022.10073159

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. DOI: https://doi.org/10.1109/ICDT57929.2023.10150652

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. DOI: https://doi.org/10.1109/UPCON59197.2023.10434702

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. DOI: https://doi.org/10.1109/SCEECS61402.2024.10482347

Jain, Arpit, Nageswara Rao Moparthi, A. Swathi, Yogesh Kumar Sharma, Nitin Mittal, Ahmed Alhussen, Zamil S. Alzamil, and MohdAnul Haq. "Deep Learning-Based Mask Identification System Using ResNet Transfer Learning Architecture." Computer Systems Science & Engineering 48, no. 2 (2024). DOI: https://doi.org/10.32604/csse.2023.036973

Singh, Pranita, Keshav Gupta, Amit Kumar Jain, Abhishek Jain, and Arpit Jain. "Vision-based UAV Detection in Complex Backgrounds and Rainy Conditions." In 2024 2nd International Conference on Disruptive Technologies (ICDT), pp. 1097-1102. IEEE, 2024. DOI: https://doi.org/10.1109/ICDT61202.2024.10489147

Devi, T. Aswini, and Arpit Jain. "Enhancing Cloud Security with Deep Learning-Based Intrusion Detection in Cloud Computing Environments." In 2024 2nd International Conference on Advancement in Computation & Computer Technologies (InCACCT), pp. 541-546. IEEE, 2024. DOI: https://doi.org/10.1109/InCACCT61598.2024.10551040

Chakravarty, A., Jain, A., & Saxena, A. K. (2022, December). Disease Detection of Plants using Deep Learning Approach—A Review. In 2022 11th International Conference on System Modeling & Advancement in Research Trends (SMART) (pp. 1285-1292). IEEE. DOI: https://doi.org/10.1109/SMART55829.2022.10047097

Bhola, Abhishek, Arpit Jain, Bhavani D. Lakshmi, Tulasi M. Lakshmi, and Chandana D. Hari. "A wide area network design and architecture using Cisco packet tracer." In 2022 5th International Conference on Contemporary Computing and Informatics (IC3I), pp. 1646-1652. IEEE, 2022. DOI: https://doi.org/10.1109/IC3I56241.2022.10073328

Sen, C., Singh, P., Gupta, K., Jain, A. K., Jain, A., & Jain, A. (2024, March). UAV Based YOLOV-8 Optimization Technique to Detect the Small Size and High Speed Drone in Different Light Conditions. In 2024 2nd International Conference on Disruptive Technologies (ICDT) (pp. 1057-1061). IEEE. DOI: https://doi.org/10.1109/ICDT61202.2024.10489446

Rao, S. Madhusudhana, and Arpit Jain. "Advances in Malware Analysis and Detection in Cloud Computing Environments: A Review." International Journal of Safety & Security Engineering 14, no. 1 (2024). DOI: https://doi.org/10.18280/ijsse.140122

Davis, M., & Johnson, P. (2020). Managing Operational Complexity in Enterprise System Integrations. International Journal of Information Management, 22(4), 327-340.

Jones, A., & White, S. (2018). Best Practices for Salesforce Integration. Journal of Enterprise Architecture, 18(1), 45-59.

Kumar, V., & Sharma, P. (2020). Challenges in Data Synchronization for CRM Systems. Journal of Data Management and Integration, 12(3), 212-224.

Lee, T., Kim, H., & Park, J. (2017). Security Considerations in Cloud-Based CRM Integration. Journal of Cloud Computing, 5(2), 67-80.

Mendez, L., & Garcia, F. (2018). API Compatibility Issues in Salesforce Integration. Software Development Journal, 15(6), 305-318.

Miller, C., & Thompson, D. (2021). Governance Frameworks for Managing Integrated Enterprise Systems. Journal of Enterprise Information Systems, 30(2), 123-137.

(IJRAR), E-ISSN 2348-1269, P- ISSN 2349-5138, Volume.10, Issue 1, Page No pp.35-47, March 2023, Available at : http://www.ijrar.org/IJRAR23A3238.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

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). DOI: https://doi.org/10.32604/cmc.2023.028631

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. DOI: https://doi.org/10.4018/978-1-6684-6903-3.ch012

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 DOI: 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 DOI: https://doi.org/10.56726/IRJMETS60123

Patel, R., & Desai, S. (2021). Addressing API Limitations in Salesforce Integrations. Journal of System Integration, 9(3), 78-90.

Roberts, E., & Evans, M. (2022). Long-Term Success of Integrated Systems: Maintenance and Support Best Practices. Journal of IT Operations, 13(1), 85-98.

Wilson, G., & Taylor, B. (2020). Incremental Approaches to System Integration: A Risk Mitigation Strategy. Journal of Information Systems, 29(4), 412-425.

Zhang, L., Wang, Q., & Chen, Y. (2019). Real-Time Data Synchronization in CRM Systems. Journal of Data Science and Technology, 11(5), 102-115.

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

Kumar Kodyvaur Krishna Murthy, Shalu Jain, & Om Goel. (2022). The Impact of Cloud-Based Live Streaming Technologies on Mobile Applications: Development and Future Trends. Innovative Research Thoughts, 8(1), 181–193. https://doi.org/10.36676/irt.v8.i1.1453 DOI: https://doi.org/10.36676/irt.v8.i1.1453

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 DOI: https://doi.org/10.61463/ijset.vol.9.issue2.193

Aravindsundeep Musunuri, (Dr.) Punit Goel, & A Renuka. (2023). Innovations in Multicore Network Processor Design for Enhanced Performance. Innovative Research Thoughts, 9(3), 177–190. https://doi.org/10.36676/irt.v9.i3.1460 DOI: https://doi.org/10.36676/irt.v9.i3.1460

Umababu Chinta, Om Goel, & Shalu Jain. (2023). Enhancing Platform Health: Techniques for Maintaining Optimizer, Event, Security, and System Stability in Salesforce. International Journal for Research Publication and Seminar, 14(4), 212–228. Retrieved from https://jrps.shodhsagar.com/index.php/j/article/view/1477