The effective management of machines and other assets is crucial for companies in the mechanical engineering industry. Autonoma's digital customer platform, which manages all of the company's machines and assets, helps to maintain an overview and increase efficiency.
Assets are machines and all of the company's equipment from which data is to be read and imported into Autonoma's digital customer platform.
In the overview of assets, not only the assets of the main account are displayed, but also all assets of the sub-accounts below. This ensures a comprehensive overview of all associated assets.
The display mode can be customized using the buttons at the top right. Under the "Panel" setting, the machines are displayed in tiles (see image), while the "Map" setting marks the assets on a map. This makes it possible to see at a glance where which machines are located and to categorize them geographically. The "Table" view displays the machines as a list view. Various machine metadata can be added or removed. The machines can be sorted or filtered according to the metadata displayed.
The display of assets in a panel offers a clear and compact way of displaying information. The customizability of the panel allows users to adapt the arrangement and size of the asset displays to their individual needs.
The visualization of assets on a map provides a geographical perspective and allows users to understand the spatial distribution of assets. By marking assets based on their location on the map, users can quickly recognize connections and patterns. This visualization is particularly suitable for assets such as branch locations, sales territories or plant locations. Users can zoom into the map to view detailed information and use different layers or filters to highlight specific aspects of the assets.
Visualizing assets in a table is particularly useful because assets can be organized into rows and columns, with each row representing individual asset information. In a table, users can sort, filter and search assets by specific criteria to find relevant information.