Fusion from Big Data to Smart Data to enhance quality of Information Systems

Abstract

The term “smartness” in the data framework indicates relevancy based on the intended purpose of data. The Internet of Things (IoT) and advancements in technology have resulted in an ever-increasing pool of data available to all institutions to derive meaning and make sound decisions from them. The research presented in this paper explored the role smart data play in information systems quality through a qualitative study of how using the large pool of data (big data) and fusing it to smart data organizations can make sound and intelligent decisions using the available techniques. We use an existing architecture for a public institution to analyze how data ingestion can be achieved with minimum challenges. The findings suggest that even though there is a large pool of data for most organizations, it is becoming more challenging to use this data to make organizational sense due to the challenges posed by such data. The realization of smart data and its benefits in information systems helps improve the quality of information systems, reducing cost and promoting the smartness agenda of today's organization.