Big Data Management for Future Strategies of the Food and Beverage Businesses in Thailand
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Abstract
This research aimed to identify the situation of big data management for the future strategic plan of Thailand's food and beverage businesses. Mixed methods, which comprised qualitative and quantitative research, were used. The study covered 7 aspects of managing big data for future strategic formulation: data management policy and structure, analysis of data requirements, use of big data resources, data acquisition and collection, data analysis, data presentation and report, and data application. The unit of analysis was was the food and beverage companies registered with the Ministry of Industry. The quantitative study was done by survey approach. Samples of the study were 120 staff, managers, and operators of 60 companies responsible for data management, and 108 questionnaires (90.00%) were returned. Data were analyzed by using percentages. The qualitative study was done by in-depth interviews with high-ranking managers of the 12 selected companies who had been involved in future strategic planning. The findings of the quantitative study revealed that most companies had done partly on the big data management for a future strategic plan in all 7 aspects, ranked in order as follows: data presentation and report (65.74%), data acquisition and collection (64.81%), use of big data resources, and data application (63.89, equally), big data analysis (62.04%), data management policy and structure (59.26%), and analysis of data requirements for strategic planning (57.41). The qualitative study findings have provided insight into the companies’ policies on big data management, readiness, necessity, cautions and problems, needs of big data, and guidelines for development.
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