A human-centered approach for interactive data processing and analytics

Abstract

In recent years, the amount of data increases continuously. With newly emerging paradigms, such as the Internet of Things, this trend will even intensify in the future. Extracting information and, consequently, knowledge from this large amount of data is challenging. To realize this, approved data analytics approaches and techniques have been applied for many years. However, those approaches are oftentimes very static, i.e., cannot be dynamically controlled. Furthermore, their implementation and modification requires deep technical knowledge only technical experts can provide, such as an IT department of a company. The special needs of the business users are oftentimes not fully considered. To cope with these issues, we introduce in this article a human-centered approach for interactive data processing and analytics. By doing so, we put the user in control of data analytics through dynamic interaction. This approach is based on requirements derived from typical case scenarios.