CRISP-DM is the de-facto standard and an industry-independent process model for applying
data mining projects. Twenty years after its release in 2000, we would like to provide a …

This paper reports on our review of published research relating to how teams work together
to execute Big Data projects. Our findings suggest that there is no agreed upon standard for …

CRISP-DM (CRoss-Industry Standard Process for Data Mining) has its origins in the second
half of the nineties and is thus about two decades old. According to many surveys and user …

Drawing on a revelatory case study, we identify four big data analytics (BDA) actualization
mechanisms:(1) enhancing,(2) constructing,(3) coordinating, and (4) integrating, which …

Computational notebooks allow data scientists to express their ideas through a combination
of code and documentation. However, data scientists often pay attention only to the code …

In the recent years, the Agile Kanban has emerged as an appropriate method used for
managing projects in numerous fields and various settings. Despite getting an increased …

There is an increasing number of big data science projects aiming to create value for
organizations by improving decision making, streamlining costs or enhancing business …

Against the backdrop of the growing adoption of Kanban in a variety of software
development domains, this paper reports on how a Systems Thinking approach was used to …

Public healthcare has a history of cautious adoption for artificial intelligence (AI) systems.
The rapid growth of data collection and linking capabilities combined with the increasing …

Considering the rise of implementation of big data analytics (BDA) in Saudi Arabian higher
education institutions but with relatively lesser optimal performance, the study investigated …