Visplore version 2022a is here! We are excited to introduce many new features that enable unique workflows for data communication and report automation!
https://visplore.com/wp-content/uploads/2021/07/News_2021a_resized.png421500Thomas Mühlbacherhttps://visplore.com/wp-content/uploads/2021/04/visplore_logo.svgThomas Mühlbacher2022-08-16 11:44:582022-09-26 14:36:01New Features in Visplore 2022a
This blog describes an easy-to-use workflow for explaining process anomalies and assessing the impact of process improvements. Three use cases illustrate the workflow for continuous as well as discrete processes.
https://visplore.com/wp-content/uploads/2022/07/Thumbnail.png421500Peter Baumannhttps://visplore.com/wp-content/uploads/2021/04/visplore_logo.svgPeter Baumann2022-03-15 10:17:192022-09-01 13:31:12Webinar: Visual Data Analytics For Physics-based Modelling Of Power Plants
https://visplore.com/wp-content/uploads/2021/07/News_2021a_resized.png421500Thomas Mühlbacherhttps://visplore.com/wp-content/uploads/2021/04/visplore_logo.svgThomas Mühlbacher2021-11-09 13:33:152022-04-04 11:06:04New Features in Visplore 2021b
Webinar from Sept 30: Learn how AI projects benefit from high-quality labels for time series data, and how Visplore significantly speeds up the labeling process.
https://visplore.com/wp-content/uploads/2020/11/workflow_data_labeling.png360500Peter Baumannhttps://visplore.com/wp-content/uploads/2021/04/visplore_logo.svgPeter Baumann2021-08-30 14:01:042022-04-25 16:05:37How to label time series efficiently – and boost your AI
https://visplore.com/wp-content/uploads/2021/07/Title-Image_resized.png284500Noora Lehtonenhttps://visplore.com/wp-content/uploads/2021/04/visplore_logo.svgNoora Lehtonen2021-07-07 06:47:292022-03-14 13:15:44How is Visplore different from Tableau/Power BI?
https://visplore.com/wp-content/uploads/2021/07/News_2021a_resized.png421500Thomas Mühlbacherhttps://visplore.com/wp-content/uploads/2021/04/visplore_logo.svgThomas Mühlbacher2021-06-30 08:10:362022-03-14 13:24:57New Features in Visplore 2021a
The goal of data exploration is to learn about characteristics and potential problems of a data set without the need to formulate assumptions about the data beforehand.
https://visplore.com/wp-content/uploads/2020/11/blog-benefits-data-exploration.png352500Patrick Eberhardthttps://visplore.com/wp-content/uploads/2021/04/visplore_logo.svgPatrick Eberhardt2020-11-18 13:49:212022-03-23 16:41:20Benefits of Data Exploration
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New Features in Visplore 2022a
Visplore version 2022a is here! We are excited to introduce many new features that enable unique workflows for data communication and report automation!
Partnering with OSIsoft
This blog announces the partnership of Visplore with OSIsoft (part of AVEVA) and explains how Visplore adds value to your PI System.
Root-cause analysis
This blog describes an easy-to-use workflow for explaining process anomalies and assessing the impact of process improvements. Three use cases illustrate the workflow for continuous as well as discrete processes.
Webinar: Visual Data Analytics For Physics-based Modelling Of Power Plants
This blog post features a recorded webinar (~ 45 minutes) about visual data analytics for physics-based modelling of power plants from June 30, 2022.
Explainable AI Workshop
This blog post features a recorded workshop (~ 45 minutes) from the Applied Artificial Intelligence Conference Energy (AAIC Energy) in March 2022.
New Features in Visplore 2021b
Proudly presenting: version 2021b of Visplore is out now. This blog describes some highlights.
How to label time series efficiently – and boost your AI
Webinar from Sept 30: Learn how AI projects benefit from high-quality labels for time series data, and how Visplore significantly speeds up the labeling process.
How is Visplore different from Tableau/Power BI?
This blog describes the difference and explains, when business intelligence software is a good choice – and when it is not.
New Features in Visplore 2021a
We are proud to present many new use-cases covered by the new release 2021a of Visplore. This blog demonstrates selected highlights.
Benefits of Data Exploration
The goal of data exploration is to learn about characteristics and potential problems of a data set without the need to formulate assumptions about the data beforehand.