Comments on Datastreams: Improved collaboration and insights

Raphaela Brückl

01/06/2023

Autonoma's digital customer platform provides a comprehensive overview of various metrics so companies can make informed decisions.

An important aspect of these platforms is the visualization of data, which is presented in the form of charts. A recent enhancement is the ability to add comments, problem descriptions, and event information to data streams.

Commenting on data streams

The new commenting feature of the digital customer platform makes it easier to collaborate and analyze data points. By clicking on the "Add Comment" button, users are given the opportunity to provide insights, comments, and observations directly on specific points in the chart. In this way, users can share their knowledge with others.

Line Graph

Commenting on data streams is a straightforward process that promotes internal transparency and communication. By selecting a specific data point or time period in the chart, comments can be pinpointed to a location in the chart. By directly linking comments to data, users can easily understand the context and make informed decisions. The traceability and comparability of problem cases are thus extremely increased.

To further improve organization and accessibility, the comment feature allows users to categorize their comments. Tags such as "Comment/Comment", "Problem/Alert", or "Event/Event" help classify comments according to their purpose. Comment tags can be used to provide additional insight or explanation, while alert tags can highlight critical issues or anomalies. Event tags can identify notable occurrences or milestones.

Create Comment

Advantages of the comment function

The comment function promotes transparency and collaboration by making published comments visible to all users of the platform with access rights. The assigned tags can be analyzed further down the line to make recurring issues and events transparent. This allows team members as well as decision-makers to benefit from the collective knowledge.

In addition, the comments make a significant contribution to incorporating the knowledge of machine operators and maintenance personnel, provide historical context for this, and facilitate analysis.

Preparation for intelligent systems (AI)

In addition, comments are the preparation for enabling intelligent systems via machine learning. Comments can be used for tagging and classifying data sets and thus form the basis for enabling intelligent systems on the industrial edge.

Summary

The ability to add comments directly to data streams optimizes collaboration, insights, and decision-making. The ability to comment, discuss, and engage with data in real-time improves data analysis processes, facilitates knowledge sharing, and fosters a culture of collaboration. Commenting capabilities enable organizations to realize the full potential of their data and achieve meaningful results. In addition, they form the basis for machine learning (AI) to prepare for the future.

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