Data plays an important role in decision-making. This article explores what it means to have a data-driven mindset and how it can guide decision-making to better results.

Abstract: The study presents a comprehensive investigation into the intricate relationship between predictive modelling techniques, model interpretability, and ethical considerations in data-driven ...

Model-driven DSS use data and parameters provided by decision-makers, but Power notes they are usually not data-intensive. Knowledge-driven DSS. These systems suggest or recommend actions to managers.

A new AI model mimics human thinking with striking accuracy, even in unfamiliar scenarios. Researchers at Helmholtz Munich ...

Most people have heard of data-driven decision making – the admirable desire to make better decisions through data. The conventional justification is that given the world’s complexity ...

Abstract: In this paper, we introduce the main concepts of a new maximum livelihood evidential reasoning (MAKER) framework for data-driven inferential modelling and decision making under different ...

Certificates are available for attending both parts of the ‘Making better data-based decisions with statistical modelling techniques’ programme. Eligibility. Certificates are available to those who ...

[5] Lenfesty, Bhattacharyya and Wong-Lin (In press) Uncovering dynamical equations of stochastic decision models using data-driven SINDy algorithm. Neural Computation. [6] Collins and Shenhav (2022) ...