Root-Cause Analysis

Your team needs to find root causes of process anomalies, explain quality defects, or assess the effect of equipment upgrades?

Visplore offers process engineers a unique workflow for understanding process changes in no time – even without initial hypothesis.

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See 3 Minutes Of Root-Cause Analysis In Action

Empowering Process Experts With Advanced Analytics
Identify & Compare changes in process parameters easily

Let Visplore identify suspicious process parameters and generate expressive visualizations. So that your process experts can focus on interpreting the patterns with their knowledge. And make informed decisions about actions.

Connect to files, data bases, or the PI system
Select and compare time ranges in three clicks
Identify changed parameters automatically
Find also unexpected co-occurrences at a glance

Apply to continuous & discrete process data
Adopt a standardized and robust workflow
Understand thanks to expressive visualizations
Get started even without initial hypothesis

Learn about use case examples and best-practices in our blog post.

The process parameter at the top shows an anomaly. The parameters below are automatically identified as potential explanations.
Click Image to enlarge

Changes in process parameters that co-occurred with increased scrap production in a foundry.
Click Image to enlarge

Scaling Root-cause Analysis for big data

A key driver in today’s industry is the need to decrease the consumption of energy and natural resources while ensuring the stability of the production process. To this end, companies are investing heavily in sensors along the process chain and enhanced data management. Due to the sharply increasing number of sensors, experience alone is often no longer sufficient to identify process parameters which indicate root causes of process anomalies. Hundreds or even thousands of process parameters may need to be considered. This is very tedious and time-consuming with standard monitoring tools.

At Visplore, we believe that data-based process optimization is most successful when process experts are empowered to answer complex questions themselves while being supported by advanced analytics and expressive visualization.

To get started with root-cause analysis yourself, read our step-by-step guide!

Why our customers
prefer Visplore

Perfect for dirty sensor data. With Visplore, we give customers more insights for the same money.

Research Engineer, R&D Consultancy Firm

When we need it fast, we use Visplore.

Data Scientist, Hydropower Company

Visplore enabled us to gain significant new insights from massive data about the impact of production process parameters on product quality.

Process Expert, Refractories Enterprise

Thanks to its ease of use and high performance even with millions of measurements, Visplore has established itself as our standard tool for quality management in plants from China to South America.

Head of R&D, Refractories Enterprise

Checking and cleaning data from energy systems used to be very time-consuming and kept us from our core tasks. With Visplore, data preparation has become much faster, and the quality of the resulting data has improved.

Leader of Energy Innovation Lab

The good usability and the comprehensive visualizations enabled us to gain a deeper understanding of routinely collected data and their relationships. For example, this increased the quality of forecast models.

Expert Renewable Energy, Transmission System Operator

Visplore is recognised and in use as a central strategic software for data analytics throughout the company.

Coordinator of Renewable Energy Data, Transmission System Operator

By analyzing process data from a large foundry with Visplore, complex dependencies were detected that we didn’t find with other software. As a result, our customer’s heat energy was reduced by around 5% and mold wear by around 4%.

Process Expert, Foundry Research Institute

For our thermodynamical simulations, Visplore helps us to identify suitable data, eliminate outliers, and analyze physical processes very effectively.

Manager Process Engineering, Thermal Energy Company

The visualization is fast and simple enough for live collaboration with the customers, on site. By this, Visplore supports a thorough understanding of correlations, outliers, and anomalies.

Head of Research in Industrial Data Science, R&D Research Institute

Visplore makes our analysis of sustainable energy systems much more efficient.
In addition to the performance for large data, its integration with scripting environments is a big plus.

Research Engineer, Energy Research Center

Visplore allows for a much easier investigation of relevant patterns and structures. Our downstream analysis becomes more efficient and we gain more confidence in the results.

Main Data Scientist, Hydropower Provider