Optimizing and Enhancing Digital Marketing Techniques in Intellectual Big Data Analytics

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Author(s): Vardan Mkrttchian (HHH University, Australia), Leyla Ayvarovna Gamidullaeva (Penza State University, Russia)and Svetlana Panasenko (Plekhanov Russian University of Economics, Russia)
Copyright: 2021
Pages: 12
Source title: Research Anthology on Blockchain Technology in Business, Healthcare, Education, and Government
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-7998-5351-0.ch037

Keywords: Data Management / Data Mining and Databases / Information Science Reference / Knowledge Management and Library Science

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Abstract

The authors in this chapter show the essence, dignity, current state, and development prospects of avatar-based management using blockchain technology for improving implementation of economic solutions in the digital economy of Russia. The purpose of this chapter is not to review the existing published work on avatar-based models for policy advice, but to try an assessment of the merits and problems of avatar-based models as a solid basis for economic policy advice that is mainly based on the work and experience within the recently finished projects Triple H Avatar, an avatar-based software platform for HHH University, Sydney, Australia. The agenda of this project was to develop an avatar-based closed model with strong empirical grounding and micro-foundations that provides a uniform platform to address issues in different areas of digital economic and creating new tools to improve blockchain technology using the intelligent visualization techniques for big data analytic.

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Optimizing and Enhancing Digital Marketing Techniques in Intellectual Big Data Analytics

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