BayesiaLab
Integrating Market Research with Applied Analytics to Boost Technology Service Trust

Integrating Market Research with Applied Analytics to Boost Technology Service Trust

Presented at the 10th Annual BayesiaLab Conference on Wednesday, October 26, 2022.

Abstract

Surveys of primary search are conducted at different frequencies across segments to determine satisfaction metrics and brand perception for the brand and its competitors. A telemetry of the consumer is also measured by the number of issues, severity, the time required to resolve, and satisfaction by category. Modeling begins with exploratory factor analysis and probabilistic structural equations. The results show that these factors affect consumers' brand trust and are visualized in a network graph of association. The relationship network structure is derived using both controllable and latent factors, including service history and surveys, as well as socioeconomic and market factors.

As part of my talk, I will elaborate on the importance of brand trust in commercial consumer behavior and marketing management, particularly for cloud services. The purpose of this research is to investigate the effects of factors on consumers’ brand loyalty in products and service businesses leading to trust and love and recommend constraint-driven changes to improve.

Presentation Video

About the Presenters

Anand Wilson, Senior Data Science Consultant, Advanced Analytics and Applied AI Course5 Intelligence

Anand has 10+ years of experience in applied artificial intelligence and data sciences. He has worked for marque clients such as Lenovo, Intel, Microsoft, Novartis, Novo Nordisk, GE, Mars Wrigley, PepsiCo, etc., enabling digital transformation using A.I.

In his current role, Anand focuses on developing and marketing solutions based on the Bayesian Network model theory, enabling us to quantify causality in an observational study. A major area of work/research includes Knowledge Modelling, Machine Learning with BayesiaLab, and Inference.

Anand has a master's in statistics and a background in applied statistics. He is acutely interested in machine reasoning, causal inference, experimental designs, machine learning, and data science.

Dr. Chiranjiv Roy, Head of Advanced Analytics and Applied AI at Course5 Intelligence

Chiranjiv has spent 20+ years across the analytics industry along with a Ph.D. in Applied Data Sciences in incubating, leading, and driving Data Analytics, Engineering, Science & AI Product Development across organizations such as Nissan Motors, Mercedes-Benz, Hewlett Packard, and HSBC Data Analytics. Chiranjiv has filed patents and developed products and solutions by applying applied AI with data for connected mobility, shared SaaS, autonomous/smart systems, AI-IoT, and electric. He is an official member of the Forbes Technology Council and the International Group of Artificial Intelligence and contributes to solving global clientele problems around Industry 4.0, Digital Manufacturing, Mobility, Advanced Analytics, Applied AI, Operations Research, and Sustainability.


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