Actionable Pattern-Driven Analytics and Prediction

Actionable Analytics for Software Engineering

Applications of Psychological Science for Actionable Analytics

Actionable analytics are those that humans can understand, and operationalize. What kind of data mining models generate such actionable analytics? According to psychological scientists, humans understand models that most match their own internal models, which they characterize as lists of “heuristic” (i.e., lists of very succinct rules). One such heuristic rule generator is the Fast-andFrugal T...

A Quality Model for Actionable Analytics in Rapid Software Development

Background: Accessing relevant data on the software product, process, and usage as well as integrating and analysing it is crucial to get reliable and timely actionable insights for continuously managing software quality in Rapid Software Development (RSD). In this context, several software analytics tools have been developed in recent years. However, there is a lack of explainable software ana...

Big data analytics – actionable insights for the communication service provider

Analytics-generated insights are increasingly driving successful decision-making for communication service providers (CSPs). From network enablers to business support systems, there are opportunities to utilize insights gathered from careful analysis of network data. Big data is at the core of this opportunity. But the traditional technology view of big data is not enough. Rather than focusing ...

Actionable data analytics in oncology: are we there yet?

To operate under a new value-based paradigm, oncology providers must develop the capability to aggregate, analyze, measure, and report their value proposition--that is, their outcomes and associated costs. How are oncology providers positioned currently to perform these functions in a manner that is actionable? What is the current state of analytic capabilities in oncology? Are oncology provide...