Every company today is data-driven or at least claims to be. Business decisions are no longer made based on hunches or anecdotal trends as they were in the past. In this environment, data quality is a necessary conversation.

A research paper specifically focused on the railway point (also called a switch or turnout) – the asset utilised for switching and locking rails, “slipping a track into two or more different tracks”.

A case study that walks through the practical issues faced when trying to reduce maintenance costs with a manufacturing digital twin

This paper on electronic rail digital twins, presented at the Power Electronics, Drive Systems, and Technologies Conference focuses on the need for precision to execute an exact simulation of the performance of real physical system.

Data quality management systems are thoroughly researched but the advent of Big Data might pose some serious questions pertaining to the applicability of existing data quality concepts. This paper aims to investigate various components and activities forming part of data quality management such as dimensions, metrics, data quality rules, data profiling and data cleansing.

The Digital Twin Capabilities Periodic Table (CPT) is an architecture and technology agnostic requirements definition framework. It is aimed at organizations who want to design, develop, deploy and operate digital twins based on use case capability requirements versus the features of technology solutions.