Where are we headed in business analytics? A framework based on a paradigmatic analysis of the history of analytics

The explosion of interest in business analytics (BA) comes with multiple problems. With as many as eleven distinct disciplines teaching analytics, it is not clear which areas of study constitute the BA field. If the information systems (IS) field is to exert a significant influence in analytics, what the IS researcher and practitioner need to focus on has to be made clear. Using a paradigmatic historiographical analysis of the field of analytics this study provides evidence for the bifurcation of analytics into data science and BA as founding disciplines of computer science, mathematics and statistics, machine learning and IS contribute to the analytics movement. The results from this analysis also identify a set of conceptual foundations for BA that takes advantage of both the intellectual strengths of the IS field without sacrificing the necessary depth of data science

ToonNote: Improving Communication in Computational Notebooks Using Interactive Data Comics

Computational notebooks help data analysts analyze and visualize datasets, and share analysis procedures and outputs. However, notebooks typically combine code (e.g., Python scripts), notes, and outputs (e.g., tables, graphs). The combination of disparate materials is known to hinder the comprehension of notebooks, making it difficult for analysts to collaborate with other analysts unfamiliar with the dataset. To mitigate this problem, we introduce ToonNote, a JupyterLab extension that enables the conversion of notebooks into “data comics.” ToonNote provides a simplified view of a Jupyter notebook, highlighting the most important results while supporting interactive and free exploration of the dataset. This paper presents the results of a formative study that motivated the system, its implementation, and an evaluation with 12 users, demonstrating the effectiveness of the produced comics. We discuss how our findings inform the future design of interfaces for computational notebooks and features to support diverse collaborators

A knowledge management architecture for information technology services delivery

Knowledge Management is a scientific area related to the organizational value of knowledge and is understood as a multidisciplinary field of research. Notions and practices are emerging and incorporated in organizations in different areas, as is the case of IT Service Management. Today’s business environment is increasingly unstable, characterized by uncertainties and changes, where technology changes rapidly, competitors multiply, and products and services quickly become obsolete. In this context, management is increasingly focused not only on people management, but on the knowledge they have and how to capture it. An Information System aligned with Knowledge Management and Intellectual Capital aims to represent and manage explicitly the different dimensions associated with an organizational competence. If organizations integrate Knowledge Competencies, Knowledge Engineering, Information Systems and Organizational Memories, these will improve the organization's knowledge and subsequently improve the quality of the service provided to users and customers. This research will use Design Science Research methodology to create an artifact to be applied in a case study from an organization aligned with ITIL best practices. This organization is supported by an Intranet and an ERP for laptop repair process. The outcome of this dissertation aims to demonstrate if Knowledge Management improves the IT services delivery