The purpose of this research is to find patterns in transaction data so that it can be useful information. The author used data mining in the analysis of transaction data with the association rule method and a priori algorithm. The results of this study state that making the right decision for the marketing strategy. This study will analyze transaction data at XYZ dining places and find relationships between items purchased by consumers.
The purpose of this research is to enable a business to have access to an amount of larger data, and some of that information comes from an e-commerce business. The literature review method was used to describe how big data Analytics can affect to an e-commerce business. Big Data is a good asset for sales and marketing because there is valuable information from tons of data. The result from this research is that Big Data improved shopping experiences, customer satisfaction, and increase sales. The conclusion of this study is that Big Data Analysis in E-commerce can help improve customer experience and help make the right decisions in business.
The aim of the research is to investigate how the extent the employee's burn out employees in Private University. The study case was conducted in this research by distributing questionnaires to 152 respondents in a Private University in Bandung. Quantitative method was used in this research with descriptive and verification analysis. Additionally, validity and reliability were performed on the questionnaire's data. SEM Analysis was performed to find the influence between employee's burnout and working performance. The result showed that the employee's burnout has a 12% significant influence on working performances. The routine work within a long period was indicated to become the main reason of this. The finding of the research contributes recommendation and data for the employment management, especially in university.
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