From Data to Decisions: Leveraging CRM Platforms for Business Intelligence

  • Authors

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

    DOI:

    https://doi.org/10.67228/30713498/IJADSMC-2021PI1Z6N

    Published 03-07-2021

  • Customer Relationship Management (CRM), Business Intelligence (Bi), Data Analytics, Decision Support Systems, Predictive Analytics, Data Integration, Customer Insights

    Issue

    Vol. 4 No. 1 (2021)

    Section

    Articles

    How to Cite

    [1]
    S. K. Vanapalli, “From Data to Decisions: Leveraging CRM Platforms for Business Intelligence”, IJADSMC, vol. 4, no. 1, pp. 01–16, Mar. 2021, doi: 10.67228/30713498/IJADSMC-2021PI1Z6N.

  • Abstract

    Customer​‍​‌‍​‍‌ Relationship Management (CRM) systems have changed significantly from their original purpose as mere contact management tools. In fact, today they are highly sophisticated data-intensive tools which, sometimes, even get integrated with Business Intelligence (BI) to assist top-level decision-making. In the light of this, the paper explores the role of modern CRM systems in enabling organizations to turn unprocessed customer data into insightful information that leads to a better business performance and superior customer experiences. The goal of this paper is twofold: to explore the capabilities of CRM systems as excellent data analytics tools and to discover how organizational leaders may use these technologies to make productive decisions. The authors of the paper adopted a qualitative and analytical approach and used literature, case studies, and reports of different industries to study the combination of CRM and BI technologies. Also, they took real-life examples from several industries to highlight commonalities and good practices. It has been found that CRM in combination with BI could lead to deeper customer understanding, forecasting capabilities, and making marketing strategies customer-specific. Such organizations typically get higher levels of customer satisfaction, better sales forecasting, and faster decision-making. On the other hand, this piece of research points to problems such as data being incorrect, difficulty in merging systems, and scarcity of expert individuals. The results of this study have practical value for enterprises in that they should consider not only sophisticated CRM equipment but also data management and human resources to be able to fully benefit from BI interfacing. To sum up, the paper stresses that switching from simply gathering data to using data for making decisions is absolutely vital in today's world and CRM systems are the leading players in making this gap productive and influenceable.

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