Our platform makes data from manufacturing processes and other disparate systems more accessible with a simple drag and drop interface and intuitive workflows, data can be explored up to 5 dimensions. Wiz can also be used to perform real-time monitoring and advanced analysis from a web browser.
In the age of big data, understanding and visualizing data is as important as its collection. Dr. Peyman Z. Moghadam’s team at the University of Sheffield has developed Wiz, an interactive big-data visualization tool built in Python. Wiz allows users to explore data beyond static images, providing interactive analysis of datasets up to 5 dimensions (5D). The web-based app combines the accessibility of web applications with robust real-time data analysis capabilities, making it invaluable for industries embracing digitalization, IoT, and AI.
Embracing the industry 4.0 paradigm, our solution allows frontline workers to develop dashboards and other digital tools through a low-code, intuitive UI interfaces. Wiz turns data into actionable insights, driving business growth across industries over the next 10-20 years. As a one-stop shop for real-time data analysis and visualization, Wiz is accessible to scientists and non-scientists alike, requiring no coding or software downloads—just a dataset and a browser. This democratizes data analysis, enabling better understanding and utilization of big data to unlock its full potential.
Don’t pay to train personnel use new software, buy new software that can teach your employees how to digitise their workflow. Our solution enables the integration of disparate models, machines and data siloes, thereby bringing a unified architecture. We guide you through your digital literacy journey and streamline your productivity