Real-Time Advanced Analytics

Say goodbye to data wrangling

At VROC we understand that Data Scientists require the ability to build their own highly complex algorithms and create free-form calculations. Most Data Scientists build these works of art using small historical data-sets, which they have painstakingly prepared and manipulated.

The challenge being solved is often a high-value and complex business problem, and as such great time and effort is spent in framing and trying to solve this problem.

VROC allows our customers to use our in-built advanced analytics tools to produce their own models and algorithms within the OPUS Platform. The benefit is that OPUS is directly connected to the customers live data environment, using DataHUB+ so there is no data preparation required, and models can be deployed automatically.

 

With our advanced analytics platform OPUS, you will benefit from:

  • Producing and deploying ML models rapidly, without the need for coding - see AutoML
  • Visualising model results easily using dynamic dashboards or our easy to use drag and drop interface
  • Easy management of a large number (thousands) of models, which automatically refresh with new data - see MLOPs
  • The automatic pre-processing of data, eliminating data wrangling
  • Build models using large complex data sets - time-series data is handled with ease
  • Dynamic unsupervised anomaly detection - see Deviation Modeling 
  • Rapid platform implementation allows users to be up and running within weeks

Get Started
Product Features

Why our customers choose OPUS

Saas Solution icon

Data Ownership

Retain complete ownership and control of your data with flexible hosting solutions available.

Read more
Alert Icon

Data Integrity

VROC automatically verifies your data quality, alerting you if there is a problem.

Read more
Data scientist icon

Data Science Tools

Use JupyterHub and similar along with open source frameworks such as H2O, Scikit-Learn, Tensorflow, etc.

Read more
automation icon

MLOps

Our end-to-end AI pipeline makes model operationalization easy

Read more
Useful Resources

You might be interested in

Onshore Wind Farm Efficiency

Advanced AI analytics study looks at how to improve onshore wind farm performance and efficiency.

Read Case Study

Fast Fail leads to Fast Results with Industrial Analytics

Fast Fail allows industry to reach quick conclusions, ensuring they remain innovative with the ability to pivot and adapt, p

Read Full Article

Accelerating Industrial Analytics Post Pandemic

Learn How to Accelerate Industrial Analytics

Download Now

Watch: Accelerating Industrial Data Science

Discover what are the challenges experienced in scaling data science and the emerging opportunities for growth within indust

Watch Now

Democratization of data for scalable AI results

The next frontier for scalable AI is the democratization of data through the use of analytics process automation (APA)

Read Full Article

Never too busy for data analytics

The value of the insights that can be obtained from Industrial analytics is so great that businesses need to find ways to ov

Read Full Article

Data Science: Consultancy vs DIY

Explore the difference in data science offerings, understand the differences and advantages.

Read Full Article

Get started with VROC today

Ready to embark on a pilot project or roll-out the innovation enterprise wide? Perhaps you need assistance integrating your systems or accessing your data? We have a solution to help you as you progress through your digital transformation.

Get Started Today