Proposing Value-based Pricing Strategy for Business-to-Business Data Exchange in eBusiness

International Journal of Computer Science and Engineering

© 2021 by SSRG - IJCSE Journal

Volume 8 Issue 12

Year of Publication : 2021

Authors : Prof. Sunantha Krishnan, Gianna Drego, Ishmeet Kaur, Mushira Shaikh

10.14445/23488387/IJCSE-V8I12P102

How to Cite?

Prof. Sunantha Krishnan, Gianna Drego, Ishmeet Kaur, Mushira Shaikh, "Proposing Value-based Pricing Strategy for Business-to-Business Data Exchange in eBusiness," SSRG International Journal of Computer Science and Engineering , vol. 8,  no. 12, pp. 6-13, 2021. Crossref, https://doi.org/10.14445/23488387/IJCSE-V8I12P102

Abstract:

In a world of high computation capabilities and technologies boom, with everyone hooked to online shopping during the lockdown, it enabled the business models to gather volumes of customers' activities-related data. After capturing data, business giants or tier 1 companies, namely Amazon, Google, Microsoft, and Twitter, identified promotional advertisers like Grammarly, Netflix, Amazon Prime, Zoom and etc., The pattern of such customer data showed the history of visited sites or products seen or purchased including dislikes during off and on season periods or month or day that creates new business avenues for tier II companies. This has paved further to boost the economy of tier I companies, to identify collaborative businesses partners to sell such customer analytics through a value-based pricing strategy. This system firstly proposes a model on how to identify such potential business collaborators for tier 1 companies, tested using google analytics and Power BI technologies. Secondly, it proposes three different strategies of value-based pricing that will create business avenues for tier II companies through a personalized set of business propositions, and lastly, it provides a comparative study of the analytical tools to further propose the right technology tool to observe the key performance indicators (KPI) or to derive a performance insight of business solutions.

Keywords:

Data Exchange, Customer analytics, Business Avenues, Value-based pricing strategy, Key Performance Indicator.

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