Motivated by incongruences between today’s complex data, problems and requirements and available methodological frameworks, we propose data quilting as a means of combining and presenting the analysis of multiple types of data to create a single cohesive deliverable. We introduce data quilting...

This dissertation presents the design, development and evaluation of the Social Set Visualizer, an innovative Visual Analytics software tool, that expands upon a novel set-based approach to Big Social Data Analytics for large-scale datasets from social media platforms such as Facebook. Over the...

Textual data and analysis can derive new insights and bring valuable business insights. These insights can be further leveraged by making better future business decisions. Sources that are used for text analysis in financial industry vary from internal word documents, email to external sources...

Software modernization for business applications is often driven by the need for supporting additional frontend channels such as web or mobile. At the same time, business logic encapsulated by services and the underlying persistence implementation should be reused. In contrast to writing new...