The Evolution of Business Analysis in the Era of Intelligent CRM Systems

  • Authors

    • Satyendra Kumar Vanapalli Consultant, Technical Solutions at Visa Inc, USA. Author

    DOI:

    https://doi.org/10.67228/30715636/IJETMR-2024PI5E3B

    Published 01-08-2024

  • Intelligent CRM, Business Analysis, AI-Driven Analytics, Customer Insights, Digital Transformation, Automation, Predictive Modeling

    Issue

    Vol. 7 No. 1 (2024)

    Section

    Articles

    How to Cite

    [1]
    S. K. Vanapalli, “The Evolution of Business Analysis in the Era of Intelligent CRM Systems”, IJETMR, vol. 7, no. 1, pp. 01–16, Jan. 2024, doi: 10.67228/30715636/IJETMR-2024PI5E3B.

  • Abstract

    The concept of a business analyst has changed drastically, and the business analyst has now become a 'strategic' 'data-driven' role that supports decision-making at the highest level of the organization. Business analysts have been traditionally understood to be limited in roles, inhale channels, analyzed typified, even recording data growth, and taking long trips to hear what customers have to say. In short, business analysts were seen as passive recipients of customer insight through time-consuming data analysis. However, contemporary business analysts operate within the framework of customer relationship management (CRM) systems that incorporate AI, smart analytics, and process automation tools. In other words, business analysts who work with intelligent CRM systems are active in usage, extracting and applying insights in real-time to formulate strategies driven by customer needs, operational excellence, etc. So, these analysts, together with the AI-powered CRM platforms, herald moving towards more forward-looking, value-creation-oriented modes of analysis through predictive and prescriptive analytics, respectively. This paper characterizes the evolution of business analysis in the set-up of intelligent CRM systems and discusses how the introduction of new technologies along with other factors is influencing the changing roles, methods, and organizational significance of business analysts. This study is qualitative and conceptually based; it does a literature survey on the topic and also an analysis of the current industry practices to identify trends and catalysts for changes. The results show that intelligent CRM systems through features such as task automation, data cleansing, and better customer understanding greatly contribute to making business analysis more efficient, accurate and strategically relevant. Additionally the analysis brings out that business analysts will need increased capabilities to work across departments, continually learn, and be proficient with technology to meet the challenges of the evolving environment.

  • References

    [1] Truong, Thanh Trung. "Intelligent CRM systems of transport companies." Amazonia investiga 9.26 (2020): 409-414.

    [2] Saqib, Muhammad, and Robin Zarine. "Evaluating customer relationship management (CRM) as a business knowledge and intelligence management tool." iRASD Journal of Management 3.2 (2021): 171-184.

    [3] Stein, Alex D., Michael F. Smith, and Richard A. Lancioni. "The development and diffusion of customer relationship management (CRM) intelligence in business-to-business environments." Industrial Marketing Management 42.6 (2013): 855-861.

    [4] Allenki, S. S. (2023). Reducing Security Vulnerabilities with Encryption, IAM, and Regular Audits. International Journal of Emerging Trends in Computer Science and Information Technology, 4(1), 265-275. https://doi.org/10.63282/3050-9246.IJETCSIT-V4I1P127.

    [5] Zaby, Christopher, and Klaus D. Wilde. "Intelligent business processes in CRM: exemplified by complaint management." Business & information systems engineering 60.4 (2018): 289-304.

    [6] Suryadevara, S. S. K., & Nakirikanti, S. (2023). Privacy-Preserving Personalization Using Federated Learning in AEM. International Journal of AI, BigData, Computational and Management Studies, 4(4), 190-199. https://doi.org/10.63282/3050-9416.IJAIBDCMS-V4I4P119.

    [7] Ranjan, Jayanthi, and Vishal Bhatnagar. "Role of knowledge management and analytical CRM in business: data mining based framework." The Learning Organization 18.2 (2011): 131-148.

    [8] Vppalapati, M., & Talasila, P. K. . (2023). Unobservable Performance: Storage Failures That Leave No Metrics Behind. International Journal of Artificial Intelligence, Data Science, and Machine Learning, 4(4), 177-188. https://doi.org/10.63282/3050-9262.IJAIDSML-V4I4P120.

    [9] Habul, Aida, Amila Pilav-Velić, and Emir Kremić. "Customer Relationship Management and Business Intelligence." Advances in Customer Relationship Management. Rijeka: InTech Europe (2012): 13-30.

    [10] Srigadde, B. R. (2023). The Hidden Gem: Lightning Headless Component. International Journal of Emerging Trends in Computer Science and Information Technology, 4(1), 244-254. https://doi.org/10.63282/3050-9246.IJETCSIT-V4I1P125.

    [11] Parakala, A. (2023). Citizen-Facing Automation: Chatbots and Self-Service in Public Services. International Journal of AI, BigData, Computational and Management Studies, 4(4), 108-118. https://doi.org/10.63282/3050-9416.IJAIBDCMS-V4I4P112.

    [12] Allenki, S. S. (2023). Applying Cloud Security Best Practices in Regulated Environments. American International Journal of Computer Science and Technology, 5(3), 48-60. https://doi.org/10.63282/3117-5481/AIJCST-V5I3P105.

    [13] Kumar Doodala, A. N., Thatraju, S., & Kankanala, V. (2023). Post- Pandemic QA evolution in Healthcare IT. International Journal of Emerging Trends in Computer Science and Information Technology, 4(2), 223-232. https://doi.org/10.63282/3050-9246.IJETCSIT-V4I2P122.

    [14] He, Li, Guan Xin, and Gong Yufeng. "Study on the design of CRM system based on business intelligence." First International Workshop on Knowledge Discovery and Data Mining (WKDD 2008). IEEE, 2008.

    [15] Gaddam, R. R. (2023). Progressive Delivery for Models with Quality KPIs. American International Journal of Computer Science and Technology, 5(4), 33-47. https://doi.org/10.63282/3117-5481/AIJCST-V5I4P104.

    [16] Shiramalla, R. (2022). Design of a Unified API Interface Using Workato for Cross-Platform Data Orchestration between Salesforce and Oracle ERP. International Journal of Emerging Trends in Computer Science and Information Technology, 3(1), 157-168. https://doi.org/10.63282/3050-9246.IJETCSIT-V3I1P118.

    [17] Brentari, Eugenio, and Andrea Alberici. "A Customer Intelligence Platform: bringing customer insights in a CRM platform." “Information Systems and Technology Innovations: the New Paradigm for a Smarter Economy”. Vol. 1. Department of Statistics and Applied Informatics Faculty of Economy, University of Tirana, 2016. 107-107.

    [18] Girchenko, Tetiana, Yana Ovsiannikova, and Liudmyla Girchenko. "CRM system as a keystone of successful business activity." Knowledge-Economy Society: Management in the Face of Contemporary Challenges and Dilemmas 4.3 (2017): 251-261.

    [19] Srigadde, B. R. (2023). Creating Object Quick Actions with Lightning Web Components. International Journal of Artificial Intelligence, Data Science, and Machine Learning, 4(2), 167-180. https://doi.org/10.63282/3050-9262.IJAIDSML-V4I2P118.

    [20] Muppaneni, R. K. (2023). Low-Code Revolution: How Power Platform Extends Dynamics 365 Capabilities. International Journal of Artificial Intelligence, Data Science, and Machine Learning, 4(3), 162-171. https://doi.org/10.63282/3050-9262.IJAIDSML-V4I3P119.

    [21] Foss, Bryan, Merlin Stone, and Yuksel Ekinci. "What makes for CRM system success—Or failure?." Journal of Database Marketing & Customer Strategy Management 15.2 (2008): 68-78.

    [22] Muppaneni , K. (2023). Virtual DOM vs Real DOM: Performance Benchmarks. International Journal of AI, BigData, Computational and Management Studies, 4(4), 180-189. https://doi.org/10.63282/3050-9416.IJAIBDCMS-V4I4P118.

    [23] Ledro, Cristina, Anna Nosella, and Andrea Vinelli. "Artificial intelligence in customer relationship management: literature review and future research directions." Journal of Business & Industrial Marketing 37.13 (2022): 48-63.

    [24] Shiramalla, R. (2022). Predictive Record Assignment Engine in Salesforce using LWC and Einstein AI. International Journal of AI, BigData, Computational and Management Studies, 3(3), 147-159. https://doi.org/10.63282/3050-9416.IJAIBDCMS-V3I3P117.

    [25] Takkalapally, D. (2023). HoloSearchAI: AI-Driven Latency Optimization Framework for Distributed Search Systems. International Journal of Emerging Trends in Computer Science and Information Technology, 4(3), 217-227. https://doi.org/10.63282/3050-9246.IJETCSIT-V4I3P122.

    [26] Guerola-Navarro, Vicente, et al. "Customer relationship management (CRM): A bibliometric analysis." International Journal of Services Operations and Informatics 10.3 (2020): 242-268.

    [27] Muppaneni, R. K. (2022). From Legacy ERP to Cloud-First: A Transformation Story with Dynamics 365. International Journal of Emerging Research in Engineering and Technology, 3(4), 153-164. https://doi.org/10.63282/3050-922X.IJERET-V3I4P117.

    [28] Vppalapati, Mallikarjun. “When Identity Decisions Throttle Data Movement”. International Journal of Emerging Research in Engineering and Technology, vol. 4, no. 3, Sept. 2023, pp. 160-7, https://doi.org/10.63282/3050-922X.IJERET-V4I3P117.

    [29] Phan, Dien D., and Douglas R. Vogel. "A model of customer relationship management and business intelligence systems for catalogue and online retailers." Information & management 47.2 (2010): 69-77.

    [30] Katangoori, Sivadeep, and Anudeep Katangoori. “Intelligent ETL Orchestration with Reinforcement Learning and Bayesian Optimization”. International Journal of Emerging Research in Engineering and Technology, vol. 4, no. 4, Dec. 2023, pp. 208-19, https://doi.org/10.63282/3050-922X.IJERET-V4I4P123.

    [31] Stefanov, Tihomir, et al. "CRM System as a necessary tool for managing commercial and production processes." TEM Journal 12.2 (2023): 785.

    [32] Veershetty, G. (2019). From Legacy Back Office to Intelligent Utility Enterprise a Practitioner Case Study of SAP Cloud Transformation and Utility IT Landscape Modernization. American International Journal of Computer Science and Technology, 1(1), 23-27. https://doi.org/10.63282/3117-5481/AIJCST-V1I1P103

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