Abstract

Today, data plays an important role in people’s daily activities. Big Data analytics is the key component for Data Science and Business Intelligence. It tends to mine the value from the Big Data by analytics technologies. With the help of some data science applications such as decision support models and customer behavioral models, useful information or knowledge could be derived from large quantities of data. However, investigations show that many such models fail to work successfully. There are many reasons to cause the failure, such as poor models design or hyperparameters of the used algorithm. But nothing is more certain to yield failure than lack of concern for the issue of data quality. High quality of data is a key to today’s business success. The quality of any large real-world data set depends on a number of factors among which the source of the data is often the crucial factor. In this research, Data Quality Improvement Framework will be proposed to overcome such a quality problem. …víceméně