• Md Motahharul Haque
• Ayan Rajput

Abstract For any company or organisation, studying customer behaviour and activity is becoming a more crucial and vital endeavour. Businesses want to know how their customers use or interact with their products in order to get useful data that can be applied to key business choices like challenging fresh features or products, decontaminating remaining models, or launching fresh marketing campaigns. To assist businesses and organisations in more efficiently focusing their efforts, data regarding consumer behaviours is gathered and evaluated. The growth of big data has led to the development of new Customer Relationship Management (CRM) techniques that facilitate individualization and customization of sales, products, and customer support. Big data demands new technologies and tactics to gather, store, and interpret information and is utilised to enhance decision-making for better customer administration. Big data analytics gives several opportunities to develop novel viewpoints on hospitality industry and to support this industry's judgement. Hospitality industry can benefit from customer content (UGC) by gathering customer reviews and enhancing specific areas of their products or services to boost brand value and help marketing campaigns. This manuscript analyses and contrasts the factors of hotel visitors' happiness and discontent. Text analytics were used to analyse the association between hotel satisfaction and guest reviews after they were dissected. This paper demonstrates how may be applied using already available software and undertaken in different hospitality-related research topics, including customer and employee happiness, hotel performance, purchasing habits, etc. The findings of this study illustrate how customers express their experiences in recommendations, despite the fact that they are based on online reviews that have been placed on a specific hotel website. Second, examining user-generated content (UGC) provides researchers with a fresh angle on examining Compared to survey approaches, service quality yields more detailed depiction of customers' perceptions.

Keywords: Big data analytics, social media, consumer behaviour, consumer perception, Customer satisfaction

"Big Data using for examining customer behaviour", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 11, page no.b198-b213, November-2023, Available :http://www.jetir.org/papers/JETIR2311126.pdf

"Big Data using for examining customer behaviour", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 11, page no. ppb198-b213, November-2023, Available at : http://www.jetir.org/papers/JETIR2311126.pdf