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Vedenyapin, Dmitry
International Islamic University Malaysia
Electrical & Electronics Engineering

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The Disruptometer: An Artificial Intelligence Algorithm for Market Insights Nordin, Mimi Aminah binti Wan; Vedenyapin, Dmitry; Alghifari, Muhammad Fahreza; Gunawan, Teddy Surya
Bulletin of Electrical Engineering and Informatics Vol 8, No 2: June 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v8i2.1494

Abstract

Social media data mining is developing to be a mainstream tool for marketing insights in today’s world, due to the abundance of data and often freely accessed information. In this paper, we propose a framework for market research purposes called the Disruptometer. The algorithm uses keywords to provide different types of market insights from data crawling. The preliminary algorithm data-mines information from Twitter and outputs 2 parameters – Product-to-Market Fit and Disruption Quotient, which is obtained from a brand’s customer value proposition, problem space, and incumbent space. The algorithm has been tested with a venture capitalist portfolio company and market research firm to show high correlated results. Out of 4 brand use cases, 3 obtained identical results with the analysts ‘studies.
Co-Authors Alghifari, Muhammad Fahreza Nordin, Mimi Aminah binti Wan Teddy Surya Gunawan