Data Connections

Feature Summary

The Data Connections feature in GSatTrack enables users to integrate and connect their asset-tracking data with external systems and applications. This functionality enhances data interoperability, allowing organizations to streamline operations, improve analytics, and make informed decisions based on comprehensive data insights.

Overview

The Data Connections feature is designed to facilitate seamless communication between GSatTrack and other third-party applications, services, or platforms. By establishing these connections, users can automate data exchange, synchronize information, and enhance their asset management capabilities. This feature is particularly beneficial for organizations that utilize multiple software solutions and require cohesive data management across platforms.

How to Use

How-To: Add Data Connections

In the “Navigation” Menu select the “Manage” icon.
Select “Data Connections”
Click on “+ Add Data Connection”
Fill in the required information:
Name
Type - The type of connection
Select which Assets/Asset Groups the connection applies to and excludes from.
Click on the “Create Data Connection” button.

How-To: Edit Data Connections

In the “Navigation” Menu select the “Manage” icon.
Select “Data Connections”
Click on the “Edit” button next to the desired Data Connection.
Make the desired changes
Select the “Save Changes” button.

Additional Information

Data Connection Types

These data types enhance the functionality of GSatTrack, enabling users to create a comprehensive view of their assets and make informed decisions based on real-time and historical data.

URL: This format allows users to connect to external web services or APIs, enabling the retrieval of data from online sources. It facilitates integration with various applications, enhancing data accessibility and interoperability.
JSON: JavaScript Object Notation (JSON) is a lightweight data-interchange format that is easy for humans to read and write. In GSatTrack, JSON is used to transmit structured data, making it ideal for exchanging information between GSatTrack and other systems, such as asset details, status updates, and configuration settings.
NMEA: The National Marine Electronics Association (NMEA) format is primarily used for marine navigation data. GSatTrack utilizes NMEA data to receive real-time positioning information from GPS devices, which is crucial for tracking the location and movement of assets, particularly in maritime contexts.
SPOT Data Push: This feature allows GSatTrack to receive data from SPOT devices, which are used for satellite tracking and messaging. The SPOT Data Push provides location updates and status messages, enabling users to monitor assets in remote areas where traditional communication methods may not be available.
Gundi Sensors: Gundi sensors provide environmental and operational data related to tracked assets. This data can include temperature, humidity, and other sensor readings, allowing users to monitor asset conditions and ensure compliance with operational standards.
Movebank: Movebank is a data management platform for tracking animal movements. In GSatTrack, integration with Movebank allows users to access and analyze wildlife tracking data, supporting research and conservation efforts by providing insights into animal behavior and migration patterns.