Tell the story of your data with annotations

Get ready to tell the story of your complex data – our latest major releases mark a big leap forward in the evolution of data visualization. KeyLines, ReGraph and KronoGraph charts now support an annotations layer, so users can showcase the narratives in their data to anyone, in any format.

From raw data to visual analysis and including a human narrative: the annotations layer is a joined-up reporting experience

Explainable data narratives, powered by annotations

Analysts and investigators need to uncover insights in their data. They apply expertise and knowledge to complex data visualizations to interpret connections, answer difficult questions, and explain alerts generated by their visual analysis apps. This is how they extract the data’s narrative: the underlying story that explains what’s going on.

Now, analysts and investigators can use annotations to provide those explanations without having to leave the chart.

A graph visualization showing connections between social media accounts with detailed annotations to highlight key activity
Pick out items or events and provide rich context

If the detail exists in the source data already, annotations can be automatically imported into a chart as a separate layer. Alternatively, analysts and investigators can add them to the chart’s annotations layer as long-form text descriptions.

However they’re brought in, annotations fit neatly alongside other chart items in your graph and timeline visualizations. They also stay visible at all times, no matter how far the viewer zooms out – something that’s crucial when working with huge datasets. Combined with near-infinite customization options, it’s easy to make annotations stand out to give prominence to the key activities in your data.

Fully flexible, analysts and investigators can turn off individual annotations, or the entire annotations layer, when they need to focus solely on chart items.

A crime investigation timeline of events, created using KronoGraph, with annotations revealing key information
Add annotations to nodes, links, entities or events – or whole clusters of the data – using the new annotations layer
A screen showing an annotated graph visualization
Annotations: Bring out the story in your data

Check out this short video to see data storytelling in action

WATCH THE VIDEO

Support for collaborative workflows

We designed annotations to fit seamlessly into existing workflows and make data insights accessible to all. As a collaborative tool, they let teammates share findings, contribute expertise and develop the narrative.

You can customize those edit options if, for example, those annotations were imported with the data and represent a single source of truth that should be preserved.

A gallery of annotation styles including different colors, shapes and sizes
Use customized annotations to share insights in graph or timeline visualization

Make data accessible and understandable

Sharing and understanding data narratives is important for case notes, legal evidence, reports to stakeholders, team collaborations and more. You can export annotations as part of your timeline and graph visualizations – as interactive charts or high-resolution images – ready for compliance documents, team presentations, courtroom submissions or any other output.

The result is a joined-up analysis and reporting experience that powers faster, better-informed decisions.

Create clear and beautiful presentational views, ready to share with stakeholders

Combining machine intelligence with human understanding

Annotations remove ambiguity and make complex connected data explainable. Every use case benefits, particularly those working with AI and machine-generated information.

A KronoGraph timeline of high-volume email data with an annotation revealing hidden insight
From raw data to visual analysis and including a human narrative: the annotations layer is a joined-up reporting experience

For example, in an alert management process, AI is great at revealing ‘which’ alert or node or event requires further investigation, but it’s not so good at explaining ‘why’. Annotations means human experts can add important contextual information to that AI-powered output.

Annotations are a great way to surface insights as part of an alert management process

Give context to your data insights

KeyLines 8.0, ReGraph 5.0 and KronoGraph 3.0 are available now to all customers and evaluators, with showcase demos and fully-documented examples to help you get started with the annotations layer.

Find out what’s possible with your data – sign up for a free trial today.

A screen showing a hybrid graph and timeline visualization created using ReGraph and KronoGraph
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