A Study on the Aspects of Quality of Big Data on Online Business and Recent Tools and Trends Towards Cleaning Dirty Data

The reliability, efficiency, and accuracy of e-business depend on the quality of data that is associated with a buyer, seller, brokers, e-business portals, admins, managers, decision-makers and so on. However, maintaining the quality of data in e-business is very challenging. It is because e-business data typically comes from different communication channels and sources. Integrating and managing the data quality of different sources is generally much troublesome than dealing with traditional business data. Even though there are several data cleaning methods and tools exist those methods and tools have some constraints. None of them directly working, particularly on e-business data that motivates to do research to highlight the aspects of big data quality related to e-business. Therefore, this research demonstrates the problems related to data quality related to online business, discusses the existing literature of data quality, the current tools and techniques that are being used for data quality and provides a research finding highlighting the weaknesses of current tools to address the problem of online business.