Our Unique Data Processing Approach

Rezatec’s unique approach to delivering high-value satellite geoanalytical data services  can be described in four key steps as shown in the diagram below.

rezatec_diagram_stage2

Step 1. Data acquisition and aggregation

Agnostic to source data, we acquire the most appropriate datasets from open access and commercial sensors.

We aggregate all types of Earth Observation data including from satellites, airborne sensors, e.g. UAVs, in-situ sensors and environmental and asset databases.

Data is hosted and processed on our highly secure servers.

Step 2. Data processing, machine learning & pattern recognition

Data is processed on our secure network of servers optimized to manage Big Data and with a very large storage capacity.

Cutting-edge machine learning techniques enable us to continually improve the accuracy of our data services by teaching our systems how to manage and analyse new data inputs.

Using pattern recognition and techniques that identify regularities in data, we can easily automate and scale our data services while providing frequent updates to landscape intelligence.

 

Step 3. Geospatial analytics & insight

Using our proprietary geospatial analytical techniques, we develop algorithms to interrogate the aggregated Earth Observation data to provide high-value business insights.

By collecting and scrutinizing the data in detail, using statistical analysis techniques, we can derive unique and powerful information to inform business decisions.

Analytical outputs are delivered as distinct geospatial data layers that can be interrogated alone or in combination with other analytical layers to create high-value data products in a single analytical environment.

 

Step 4. Online decision-support & data science

Through our secure, online portal, end users can view, and interact with, dynamically-updated data products in a highly visualized geospatial environment.

Users can interrogate interactive maps to generate analytics as static layers or in a 3D time series. Users can also produce graphs and charts and drill down on summary information to determine attribute data such as source data, resolution and suggestions for overlaying with other data layers.

Data products can also be downloaded for use in internal systems or we can automatically update systems using WMS (Web Map Service).

Alerts can be preset based on bespoke thresholds and rules and can dynamically trigger an email or text alert to allow proactive and mitigating action be taken.