The product development team at VROC are continuously working on new features on our products, as part of our overall product roadmap and in response to customer feedback.  We are pleased to share a number of significant developments which are part of our latest OPUS 4.0 rollout.

New OPUS Features:

• New Database and Faster Deployment

This allows the platform to be autonomously deployed to cloud service providers or into a client’s own infrastructure. The deployment time has been decreased, with the platform able to be fully deployed and functional in minutes.

• Automated Data Organisation

On ingestion of data into the platform, data can now be organised into sub-folders. This significantly reduces the effort required of data engineers, especially on large scale rollouts. This feature reduces the time and effort required to manage large volumes of data, making it easier for users to find and use the information they need.

• Improved Calculation Node Feature

Calculation nodes (or engineered nodes) are an important feature of OPUS that allows users to calculate a value, and then use that value in other calculations and models. A simple situation where this could be applied, is where operators have multiple values, and they want to calculate the average and then use this new value in a further complex equation.  With the improvements to this feature, users can easily compare the calculated node to the original data and use the calculated node as the target in modelling. Users can include both real data and calculated data in complex formulas, and perform calculations over time, with calculations performed in real-time. Calculations can be treated as a real data point, triggering alerts based on continuous real-time calculations. No longer limited to a single timestamp, calculation nodes can be multi-dimensional. 

• Improved Metric Selection

Metrics are the datapoints used to evaluate performance or analyse trends. We have simplified the way that users select metrics for models and dashboards, so that users are not overwhelmed by having to select from hundreds of thousands of data nodes.

• Advanced Chart Editing  

Advanced users have a greater array of features including Json editing along with full customization of charts, such as unit defining, and target offsets.

• Improved Visualizations

The training period is now consistently displayed within the graph across the whole platform. Other improvements include the ability to set two types of aliases for a data node, with a local name providing greater meaning to visualizations. 

• Model Management Improvements

We have tightened up rules around model management, so that models that have been trained can’t be edited by anyone other than the model owner. This update ensures that critical models remain unchanged once they've been trained and deployed, providing consistency and reliability in operational predictions.

• Single Sign-on Authentication

SSO authentication enhances security by reducing the need for multiple passwords and streamlines access to the platform. This new addition is just one example of how VROC is trying to improve user experience.

 

OPUS version 4.0 is currently being deployed to new clients and is being rolled out to all existing clients.

This short summary of new and improved features showcases VROC’s commitment to innovation and continual improvement.  With a customer base that is often time-poor and with no prior training in advanced analytics, we are committed to making the process of obtaining valuable data insights as straightforward as possible.  Our continuous back-end developments ensure that insights obtained are reliable and continue to exceed industry best practices. 

If you are interested in seeing any of these features in further detail, please don’t hesitate to contact our team.