For faster project progress and better data quality
Visplore is a versatile tool for boosting data science in manufacturing and power supply. Interactive, transparent, well-integrated in your workflow.
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Visplore enhances initial data science project phases with agile exploration and preparation, while Python offers flexible data transformation and operational code deployment.
Select and label large multivariate datasets, define labels with formulas or scripts, mark data directly in visualizations, and use pattern search to label occurrences efficiently.
Extract recurring patterns such as process operations from sensor time series via pattern search or based on rules. Visplore lets you or your subject-matter experts label groups of operations intuitively in one click using visual query tools. Finally export or retrieve labels via an API.
Visplore enables interactive exploration of massive time series data. Quickly select and compare patterns, identify correlations, explain anomalies, build regression models, and more, all in real-time. Its speed and ease of use allow you to discuss findings live with clients and experts, saving hours of meetings and ensuring a well-understood data foundation for your project.
Head of Research in Industrial Data Science, R&D Research Institute
Monitor large number of forecast models with minimal effort and detect negative trends in forecast quality early on.
Hermann Mehl, Renewable Energy Coordinator, Austrian Power Grid
Break up data silos by merging data from PI, SQL databases and various files types. Align time rasters, and include assets, quality samples, batch event frames or ERP data in your correlation. All interactively and without coding!
Any analysis can update as new data arrives – for condition monitoring or live reports. With our Python APIs, you can add own data sources, such as legacy databases or custom files. And fully automate workflows for alerting, reporting or result writeback.
