Geospatial Data Analytics – Turning Location-Based Data into Insights

Geospatial data analytics is the next frontier in analytics. It’s a growing field that gives businesses access to location-based information and insights, helping them make better decisions about their operations. Geospatial data comes from many sources, including satellites, mobile devices and even cameras on driverless cars. There are multiple ways to do geospatial analytics, including satellite imagery analysis and drone-based data collection. You can use it for various industries and applications. Location-based information is crucial for any business that uses real estate or manages assets or personnel in the field

Geospatial data analytics is the next frontier in analytics.

Geospatial data analytics from Veridaas Corporation is the next frontier in analytics. It’s an area that has been growing rapidly, with geospatial data coming from many sources, including satellites, mobile devices, cameras and more. While there are multiple ways to do geospatial analytics — including satellite imagery analysis and drone-based data collection — all of them share a common goal: turning location-based information into insights that can be used to improve business processes or make better decisions about operations on the ground.

Geospatial data comes from many sources

Geospatial data comes from many sources, including satellites, mobile devices, cameras and more.

Satellites

People can use satellites to provide imagery of our planet’s surface. The most common types of satellites are weather satellites (which carry instruments that collect images and data about the weather) and geostationary telecommunications satellites (that serve as relays for long-distance communications).

Mobile Devices

You can use cell phones with built-in GPS receivers to collect location data by recording the coordinates of cell towers they connect with as they move through an area.

Cameras

You can use cameras for street surveillance or traffic analysis by measuring the time it takes cars to pass through a given point on a road; this information can then be used in conjunction with other variables such as speed limits or road conditions to monitor traffic conditions throughout cities’ road networks.

Using drone-based data collection to analyze changes in the landscape

There are multiple ways to do geospatial analytics, including satellite imagery analysis and drone-based data collection. Satellite imagery is used to analyze changes in the landscape, such as deforestation or urban development. Drone-based data collection can be used to analyze changes in the landscape, too–and it’s also useful for collecting information about inaccessible areas (like mountainous regions).

You can use geospatial data analytics for various industries and applications. Geospatial data comes from several sources, including satellites, mobile devices, cameras and more. It’s being collected at an ever-increasing rate as the world becomes increasingly connected.

Geospatial data analytics is one of the next frontiers in business intelligence as organizations look to gain insight from location-based information.

Location-based insights

You can use geospatial data analytics to improve efficiency, save money, increase customer satisfaction and loyalty, and enhance safety and security. It can also help with planning and forecasting.

Geospatial data analytics is a growing field that uses geospatial analysis techniques to extract knowledge from location-based information such as GPS coordinates or addresses. This information may be gathered from: 

• Satellite images or aerial photographs
• Street view images captured by cars equipped with cameras
• Mobile device location data transmitted over cellular networks
• GPS receivers used by delivery vehicles or workers in the field
• Surveys of customers’ experiences

Location-based information

Location-based information is crucial for businesses looking to make better decisions about their operations. Geospatial data analytics can help businesses make better decisions about their real estate and facilities, as well as the location of their employees. It’s also essential for retailers who need to find out where there are gaps in the market and identify potential customers.

Geospatial data analytics is a growing field that can be applied to a myriad of industries and applications. The use of location-based information has become essential for businesses looking to make better decisions about their operations, as well as individuals who want more control over their lives. Geospatial analytics combines the power of big data with real-time information about where things are happening right now so that you can make informed decisions based on what’s happening right now or even tomorrow at 10 AM when your employees come to work!