Time Series Exploration
Knowing your data is the basis for efficient and successful data science.
Explore and understand massive data in minutes – interactively!
Don’t spend much time building and tuning charts from scratch. Visplore’s pre-configured cockpits get you way further in no time.
Don’t guess which variables will be relevant. Let Visplore show you. And jump seamlessly between overview and details.
Don’t lose relevant details by pre-aggregation or filtering. Understand your data as it really is.
Don’t waste time for tedious cleaning of outliers, gaps, and feature engineering – do it right within the visualization and see the effect within seconds.
Use the right tool for each purpose. Do scripting in notebooks and data exploration in Visplore, exchanging data in both directions in just one line of code.
Data exploration is not only about discovering patterns, clusters, correlations, … It’s about understanding what all this means for your data science project. This requires domain expertise.
prepare some charts and present them to domain experts. Typically, this leads to new questions (“can we also look at variable X?”, “what is that outlier / cluster?”, “can we filter that part of the data?”, etc.) which you take home to prepare more charts and meet again two weeks later.
That’s highly inefficient! It makes the exploration phase take way too long, and often still leads to an incomplete understanding about what’s really relevant!
answer all these ad-hoc questions on the fly! Just as you sit together with the domain experts. Prepare your meeting by storing Visplore analyses. During the meeting, you are way more flexible to answer all these questions as soon as they are asked! Filtering, comparing, labeling, ranking, explaining, transforming, exporting and way more – all it takes is a few clicks and no waiting even on massive data.
The result: You save much time and shorten the phase for data understanding dramatically while improving the relevance of results and the satisfaction of all stakeholders.
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.