Multiple data connections
Connect your Excel data very easily. In addition, you can also link a lot of other data from different sources.
High degree of customization
Create individual and meaningful visualizations with a variety of dashboard elements, such as charts and tables.
Features and functions
Always keep relevant information in view using color coding, conditional formatting, and many other features.
No matter which department, industry, or company size, Excel is an indispensable tool in almost every office in the world. Peakboard lets you see your Excel files in a completely new light. Visualize your data stored in an Excel spreadsheet in Peakboard Designer. Decide for yourself whether you want to display the entire spreadsheet or just a part of it.
If your Excel table is static, then you can easily add it as a local resource in Peakboard Designer. If the data changes, you can dynamically edit your Excel spreadsheet, e.g., on a network drive, OneDrive, or SharePoint.
If you need to prepare or post-process data before visualization, or if you want to visualize your data together with data from other data sources, you can do this with simple formulas and commands in the Lua script editor. If you don’t want to use the data itself, but rather a graphic that was already created in the Excel file as part of a visualization, that’s no problem for Peakboard either. Simply connect, filter and display Excel with Peakboard Designer.
On our help site you can find additional information about how to connect Excel data.
For a quick start with your first visualization, you can transfer your Excel files directly to Peakboard Box using Peakboard Designer. Or you can also save the Excel file to a cloud storage service, such as Dropbox, Microsoft OneDrive, SharePoint, or Google Drive. In addition, Peakboard also supports domain-internal network drives as a source for Excel files.
Do you want to get started with your first visualization right away? Our Template Portal offers a host of free templates with Excel support that you can use on your dashboard.
Capture, process and visualize your order data e.g. from SAP with the production data from your machine – in real time and without major programming effort.
Just download the software for free, install it on your PC and get started.
"Very flexible and simple solution with wide applications. Used in various areas of production and logistics together with SAP and nonERP data. Fully integrable with many standard interfaces and high flexibility for development. High degree of freedom in the presentation of visualizations."
Martin L.
Head of IT EMEA
"Our department needs data from different systems. With Peakboard, all data sources can be united in one overview. The time saved is enormous, as the data from the upstream systems is syncronized automatically and, above all, live. We can now take action based on the real-time data without wasting time. Easy design of meaningful dashboards on the KPIs that are important to us. Intuitive way of working."
Anela B.
Rev. Acc., Environmental Services
"You can dig into plotting simple data. If you like it a bit prettier, you can also use the countless templates and customize them easily. If you do need support, it is 100% on point and very personally interested. We used to implement wallboards with the help of old Windows laptops. I was thrilled that there was such a super solution for this to be handled more professionally."
Benjamin S.
IT Administrator
"The visualization makes a very professional impression. Whereas Flipchart was used for presentation before, Peakboard now takes over. Up to date and attentive. Overall very good system for visualizing process data."
Christo
BL in Germany
"Very clear and tidy software. Administration is clear quite quickly after a few clicks and the software is easy and quick to configure and administer."
Sven
Software developer in Germany
The example of a shop floor board gives you a clear representation of which possible data sources are hidden behind the displayed information. Just hover over the elements to reveal the respective data sources.
