A best-in-class, self-service business intelligence architecture is just one way Qlik Sense® sets the benchmark for next-generation data analytics technologies. Our one-of-a-kind associative analytics engine and sophisticated AI empowers people at all skill levels to freely explore data, make bigger discoveries and uncover bolder insights that can’t be obtained using other analytics tools. With Qlik, you can support nearly any use case and massively scale users and data, empowering everyone in your organization to make better decisions every day.
Spatial analysis means finding location-oriented insights by overlapping layers of geographic and business data onto maps. This allows you to visualize, analyze, and get a more complete view of your data to solve complex location-based problems.What is geospatial data used for?
Geospatial data can be very helpful in analyzing a wide range of use cases such as improving logistics planning and transportation for fuel and time saving or selecting store locations for optimal customer traffic.What is geospatial big data?
Geospatial big data refers to spatial analysis using location-based or geographic data sets that stretch or exceed the capacity of most current computing platforms. Geospatial data represents a large and growing portion of big data.