Recently, the mobile service providers have been growing rapidly in Malaysia. In this paper, we propose analytical method to find best telecommunication provider by visualizing their performance among telecommunication service providers in Malaysia, i.e. TM Berhad, Celcom, Maxis, U-Mobile, etc. This paperuses data mining technique to evaluate the performanceof telecommunication service providers using their customers feedback from Twitter Inc. It demonstrates on how the system could process and then interpret the big data into a simple graph or visualization format. In addition, build a computerized tool and recommend data analytic model based on the collected result. From prepping the data for pre-processing until conducting analysis, this project is focusing on the process of data science itself where Cross Industry Standard Process for Data Mining (CRISP-DM) methodology will be used as a reference. The analysis was developed by using R language and R Studio packages. From the result, it shows that Telco 4 is the best as it received highest positive scores from the tweet data. In contrast, Telco 3 should improve their performance as having less positive feedback from their customers via tweet data. This project bring insights of how the telecommunication industries can analyze tweet data from their customers. Malaysia telecommunication industry will get the benefit by improving their customer satisfaction and business growth. Besides, it will give the awareness to the telecommunication user of updated review from other users.

Background: In the research field of Suburban Women, Malacca and from the viewpoint of Melaka residents, success of women entrepreneurs shows high resilience and competitiveness in facing any challenge in the economic cycle and having a good impact towards the communities in the world. Objectives: This paper identifies the impact of success of women entrepreneurs, namely digital entrepreneurship, digital marketing, and government support. Method: Using an online survey, the study collects data in Suburban, Malacca from 310 respondents among residents in Melaka. We used the Statistical Package for the Social Sciences (SPSS) software to test the correlation between dependent variables and independent variables. Result: The results analyzed by multiple linear regression analysis show that only two out of three factors which are digital entrepreneurship and digital marketing have significant effect on the success of women entrepreneurs. While government support has no significant effect. Conclusion:Mastering in digital marketing and digital entrepreneurship are internal factors that help entrepreneurs become successful compared to external factors such as government support.