Our step-by-step guide to create an asset tracking dashboard for physical spaces using Kibana.
Learn how to filter visualisations to effectively tell the story of an asset within physical spaces.
A source of data and an instance of the Elastic Stack.
reelyActive infrastructure or standard devices such as a Raspberry Pi can provide a source of data. Our Pareto Anywhere open source software can collect and forward the data to Elasticsearch.
Get Owl-Equipped to have these prerequisites and this dashboard prepared for you.
Create a dashboard in Kibana in a few simple clicks.
Open Kibana and then:
The next step is to include visualisations that highlight the utilization of the space as described in this tutorial:
You should be able to get a dashboard filled by meaningful visualisations as below:
Learn how to search for a specific asset and get a customer/asset/people centric journey through the dashboard built.
From the dashboard tab:
Once the filter is saved, all dashboard visualisations will be adjusted so that only the data linked to the transmitter Id will appear.
Observe the filtered dashboard and easily answer the following questions:
What day does the asset visit?
What time of day does the asset visit and for how long?
Where does the asset spend the most time?
Which places receive the most foot traffic?
This visualisation over two months only reveals the days when the asset was detected. Each bar up to 100% of occupancy represents one of these days.
By adjusting a visual builder visualisation over a day it is possible to observe the occupancy patterns by hour and to determine how long the asset spent in each area.
This table mesures the number of transmission of the asset detected in each zone.
This heatmap traces the route of the asset over a day. The colors on the heatmap correspond to foot traffic during a particular time period. Red areas are ones asset walked in and spent time, while white/yellow spots had lower traffic.
For our innovation of making physical spaces searchable like the web.
Learn more about Kibana integration, or continue exploring our open architecture and all its applications.