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- A Study of Customer Satisfaction in the Dubai's Restaurant Industry
Authors: Ali Abdallah Ali
Abstract: Customer Satisfaction is one of the key roles in bringing success to any business organization that has a product or service to offer or sell. Each and every organization makes sure to not only keep the pre-existing customers but also garner new potential customers significantly and may only be possible when the current target customers are completely satisfied of the company. The objective of this study is to understand the basics of what the definition of customer satisfaction is and how important it is to an organization in a fast-paced industry. Moreover, the advantages of customer satisfaction to a restaurant business will be explained. In the last part of this research paper, a survey was conducted to find out whether customer satisfaction matters to the market as well.
PubDate: Tue, 31 Dec 2019 00:00:00 -060
- Automated Modular Data Analysis and Visualization System with Predictive
Analytics Using Machine Learning for Agriculture field
Authors: Ahish N; Shashikala H K, Bharath N
Abstract: Economy of an India is majorly depending on growth of agricultural yields, and its allied agro industry products. Prediction of agricultural yield growth is a most difficult for the agriculture departments across iglobe. 1The agricultural yields growth is depending on several factors. In this paper historical data is analyzed and a predictive model was designed. 1Several Regression models such as linear model, multiple linear model and nonlinear models were tested for an effective prediction, or for forecasting the agricultural yield for a variety of crops. Along with this the crop trade for local farmers is a very complicated and tedious task and can get easily mislead by the system we are proposing helps them to analyze the crop availability and also according to market prices can be able to predict various characteristics of the trade. The proposed method is capable of producing the visual representation after data analysis and provides the prediction results in a visual format. And also the unstructured data analysis is implemented in the system. In the proposed method, the pre-processed input data will be sent to perform a descriptive analysis and a predictive analysis. In the descriptive analysis, the data is analyzed and the summary of the analysis is given as the output.In Predictive analysis, there are steps to be considered for the analysis. At the end summary of predicted results are given as output and summary of both descriptive analysis and predictive analysis is given as final report in visual format.
PubDate: Sun, 31 Mar 2019 00:00:00 -050
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Open Access journal
