Prototyping Data-Driven Innovations

Interactively discovering optimization potentials and rapidly prototyping new business ideas is the key to future business innovations.

Read here how the innovation department of a large district operator used Visplore to validate its operational data and evaluate new business services as well as optimization potentials 4x faster.

 

Prototype data-driven innovation
Assess future business services with minimal effort

Visplore features ready-to-use solutions for exploring large sets of monitoring data and evaluating ideas for future business services.

  • Explore monitoring data at a glance
  • Select and cleanse data intuitively
  • Accelerate validation of large datasets
  • Filter and compare similar variables
  • Discover optimization potentials interactively
  • Make fast and dynamic iterations
  • Prototype new data-driven services
  • Enjoy high performance with large data

Discovering potential new data-driven services.
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Explain anomalies by automatic search for suspicious variables.
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If you want to learn more, or discuss an application for your individual data, feel free to book a live demo!

Prototyping new data-driven innovation

Validating extensive monitoring data sets and swiftly prototyping data-driven innovations are pivotal for introducing competitive business services.

However, grappling with process data often recorded at minute intervals over several years presents significant challenges, owing to its sheer volume and notable data quality issues. Indeed, navigating through and preparing hundreds of time series can be extremely time-consuming. Tasks such as identifying and rectifying data anomalies are often arduous and necessitate rapid dynamic iterations. Consequently, assessing the suitability of this data for generating new business services not only demands advanced data science proficiency but also heavily relies on the expertise of domain specialists.

Visplore reduces these challenges to a minimum and empowers project managers as domain experts to efficiently handle large data sets and evaluate business ideas much faster.

Why our customers
prefer Visplore

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

When we need it fast, we use Visplore.

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

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.

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.

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.

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

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%.

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

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.

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.

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.

 
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Prototype data-driven innovations like never before.