# What’s new in Hume 2.9: Alerting, super-charged Actions, and more!

GraphAware is proud to announce the 2.9 release of Hume. With this release, Alerts are available in Hume, a feature that greatly simplifies the daily work of analysts, data scientists, investigators, and data-savvy business users. And there is more:

* Stay on top of changes in your data with automated **Alerts**
* Super-charge **Actions** by tapping into additional Neo4j data
* Bring your graph onto a map with Hume **Maps**

# Stay on top of what’s happening - effortlessly

With Hume **Alerts**, it is possible to monitor data sets and receive notifications on relevant changes. There is no more need to proactively explore data in search for changes. Instead, it is possible to define upfront which changes are important and set up a scheduled check. If a relevant difference is detected by the check, an Event is created that contains information about the change. Email notifications can inform about new Events.

[VIDEO] \
[https://youtu.be/E3XP24OAy2o](https://youtu.be/E3XP24OAy2o)

_This video shows an Alert that specifies the monitoring of a certain data set and how it detects an Event that is displayed in Hume._

To easily manage entities of interest, Hume introduces **Collections** along with Alerts. Entities that should be monitored can be added to Collections directly from visualisations. Once added, they are easy to manage. Alerts can be set up to specifically monitor the entities in a Collection.

[VIDEO] \
[https://youtu.be/Eu3_u-6s-2c](https://youtu.be/Eu3_u-6s-2c)

_This video shows entities of interest that are added to a Collection and how they are used in an Alert._

# Tap into additional data sources with Actions

To date, **Actions** in Hume can be used to **read data from or write data to the Neo4j **resource that is specified in the perspective. With this version, it is possible to specify an alternative Neo4j graph in an Action. This way, in the visualisation, data from the perspective resource can be enriched with data from another Neo4j resource, and the results will be directly explorable in the visualisation. This also works reversely: data that has been uncovered during exploration can be written into another Neo4j database. This way, users can work in one central place, Hume Visualisation, that allows for intuitive exploration of data and connects directly to another Neo4j resource.

[VIDEO] \
[https://youtu.be/qVh0MocOuYw](https://youtu.be/qVh0MocOuYw)

_In this video, you can see how an Action returns data from a separate Neo4j source._

[VIDEO] \
[https://youtu.be/jWsYZvnIZfQ](https://youtu.be/jWsYZvnIZfQ)

_In this video, you can see how an Action writes data into a separate Neo4j source._

# Try Maps & Temporal Analysis

With Hume 2.9 we once again want to give users the opportunity to try experimental features:

Maps and Temporal Analysis

## Maps

Often, the context of an investigation is tied to space - a certain location or region on the globe. It is essential to track movements and reveal positions. With Hume 2.9 we offer the first version of Maps, a feature that allows you to see graph data in a geospatial context. Users can view nodes on a map and understand their positions, cluster nodes by proximity, activate data layers, and much more. Additionally, the full power of Actions can be leveraged in Maps, for example, to load data inside the boundaries of the map section that is displayed at the moment of analysis.

[VIDEO] \
[https://youtu.be/I_aGHKaBRVk](https://youtu.be/I_aGHKaBRVk)

_This video shows how nodes are displayed on a map, how data layers can be activated and how data can be explored in the map view._

## Temporal Analysis

Data also has a temporal context - it changes over time. With Hume 2.9, temporal analysis can be used in experimental mode. Users can choose to see data in a specified time range, drill down, play through a time sequence, and much more.

[VIDEO] \
[https://youtu.be/uC3_J3667oY](https://youtu.be/uC3_J3667oY)

_This video shows how data is displayed in a temporal context, how a time frame can be specified, and how data changes over a period of time can be explored._

# Further relevant improvements

Along with major changes, each release comes with improvements, bug fixes, and minor updates. Some of these include:

* _Major visualisation performance improvements_
* _Support for node, relationship, path, point, and date types in Orchestra workflows_

Supercharge Hume’s UX

As part of Hume’s development, we want to evaluate new features and ideas with users constantly. If you are interested in joining a usability test and evaluating what we are working on, please [click here → [e-mail]].

# _Further sources of knowledge_

_For those interested in learning more about how Hume delivers high value solutions, the following resources provide an overview of the spectrum of possibilities._

_If you are planning to kick off a Neo4j project, but are unsure about how to ensure its success, have a look at this article by our Director of Marketing, Ondrej Peterka._

_[Blog]_

_[https://graphaware.com/hume/2021/06/23/bring-neo4j-project-to-life-with-hume.html](https://graphaware.com/hume/2021/06/23/bring-neo4j-project-to-life-with-hume.html)_

_To dig deeper into the extraction of relationships among named entities, have a look at this article by our Lead Data Scientist, Vlasta Kus._

_[Blog] [https://graphaware.com/nlp/2020/10/20/ere-jane-austen.html](https://graphaware.com/nlp/2020/10/20/ere-jane-austen.html)_