The era of big data provides many opportunities for conducting impactful research from both
data-driven and theory-driven perspectives. However, data-driven and theory-driven …

Process mining helps infer valuable insights about business processes using event logs,
whereas goal modeling focuses on the representation and analysis of competing goals of …

Machine Learning (ML) provides approaches which use big data to enable algorithms to"
learn", producing outputs which would be difficult to obtain otherwise. Despite the advances …

Currently dashboards are the preferred tool across organizations to monitor business
performance. Dashboards are often composed of different data visualization techniques …

In goal-oriented requirements engineering, goal models have been advocated to express
stakeholder objectives and to capture and choose among system requirement candidates. A …

Abstract Context: The Covid-19 pandemic has shown the entire world that the habits of work,
freedom, and consumption can change quickly and significantly for an undetermined …

The effective development of advanced data analytics solutions requires tackling challenges
such as eliciting analytical requirements, designing the machine learning solution, and …

Goal modelling aims to capture stakeholder and system goals, together with social,
intentional, and structural relationships, in a way that supports trade-off analysis and …

EA (Enterprise Architecture) visualization methodologies have been explored by
researchers and engineers to conduct EA modeling. The objectives of EA modeling are to …

A key challenge in current Business Analytics (BA) is the selection of suitable indicators for
business objectives. This requires the exploration of business data through data-driven …