There are billions of records streaming continuously from the likes of satellites, wi-fi access points, hand-held devices, and aerial and ground-level sensors. Geospatial data is more available than ever, with recent estimates of the location-based services markets suggesting it could be worth $30B by 2027, expanding at a compound annual growth rate of 15-20%.
Geospatial data is time-based data that is associated with a particular location on the Earth’s surface. Used correctly, geospatial data can provide many business advantages and can contribute significantly to better decision-making when used in combination with traditional business data.
The need for analyzing geospatial data has been on the rise across the public and private sectors. These organizations tend to have access to vast amounts of geospatial data and their businesses are heavily influenced by it.
But dealing with large geospatial data sets presents a number of challenges, which is why many organizations struggle to take full advantage of it. To make the most of geospatial data, it needs to be put in context.
The latest feature of the Quantexa 2.1 platform – Geospatial Search – is designed to make the most of geographical data by making sense of its connections to other related data points, which in turn provides context. Users can interactively define locations on a map, add filters and conditions, and run queries to further enrich investigations – aiding them further in uncovering risky and fraudulent activity.
With the vast and rapidly increasing volume of data that is readily available, public and private sector organizations must maximize geospatial data to improve their investigations and decision-making processes.
Click here to access the full blog and learn more about Geospatial data including:
- What is Geospatial Data?
- Managing the Rise of Geospatial Data
- Introducing Geospatial Search
- Geospatial Search Use Cases
- The Future of Geospatial Search
