- Intelligent Geospatial Insights
- Interactive Analytical Maps
- Advanced Mapping Algorithms
Take spatial analysis and insight to the next level with Qlik
With Qlik Sense, our next-generation data analytics platform and Qlik GeoAnalytics, you can make game-changing spatial analysis and insights easily available throughout your business. And powerful visualization and exploration of geographic data is just the beginning.
The one-of-a-kind associative analytics engine and sophisticated AI empowers people at all skill levels to freely explore data to make bigger discoveries and uncover bolder insights they can’t find using other analytics tools.
Enable almost nearly any data analytics use case and massively scale users and data, empowering everyone in your organization to make better decisions every day.
Geospatial visualization and analytics
Qlik GeoAnalytics not only provides comprehensive mapping capabilities but also moves beyond visualization with built-in spatial analysis support for a broad range of advanced geoanalytic use cases to help reveal crucial geospatial information and expose hidden geographic relationships.
High performance, interactive mapping
Easily create maps using automatic geo-data lookup and then overlay them with different visualizations.
- Be more productive with on-the-fly location lookup capabilities
- Improve understanding by exploring all geo information along with any relationships within one map visualization
Eliminate the overhead and expense of maintaining and managing access to a separate mapping database
Gain geospatial insight
With the ability to quickly show cartographic information, users can gain insight into patterns not easily interpreted through tables or charts to better understand the whole story that lives within their data.
- Go beyond map visualizations to understand and analyze geospatial relationships
- Efficiently access, visualize and analyze any existing geospatial related data and applications
Gain insight into patterns not easily interpreted through tables or charts
Broad location-related use cases
With a full spectrum of mapping and geospatial capabilities that share a common set of tools and technologies, Qlik GeoAnalytics can meet the needs of a wide variety of location-related use cases.
- Deliver mapping and location-based analytics to every user throughout the organization and beyond to one’s ecosystem
- Flexibility to implement Qlik GeoAnalytics as a fully hosted solution, a completely on-premise implementation or a combination of the two
Provide credibility and domain expertise to a customer’s geospatial engagement
What is spatial analysis?
Spatial analysis is the collection, display and manipulation of location-based data – or geodata – such as street addresses, zip codes, satellite images and GPS coordinates.
Also referred to as geospatial analytics or geoanalytics, it helps you uncover location-based insights by overlaying maps with layers of location and business data – such as sales figures or transit times – so you can visualize, analyze, and get a more complete view of your data.
Imagine opening up a treasure map for your business that shows you where new business opportunities, cost savings, and partnerships are or could be. In business terminology, this treasure map is the “geo-anablement”of the digital enterprise.
Key capabilities of spatial analytics technologies
Geographic location can increase the value of a wide range of business data. More than just visualizing data points on a map, geospatial analysis tools help you analyze and aggregate location and other business data to solve challenges and meet business goals. To maximize the value of your geodata, it’s important that your analytics tools incorporate these geospatial analysis capabilities:
With on-the-fly location lookup, you can automatically populate and update dashboards and maps with data about specific places and areas for use in spatial analysis. Search by city, county, zip code, place names or airport codes. For example, if you want to analyze police activity in a specific region, you can quickly include that data on your map without knowing any geographic coordinates.
Clustering lets you view the geographic density of points or events, showing groupings of high or low values that stand out in your data. For example, by analyzing how many people live within a 15-minute drive time from existing stores, a retailer can determine the best possible locations for a new shop.
Formatting and Annotating
Colors, lines and shapes can help you more easily make sense of your data. When analyzing customer buying behavior, for instance, you can use colors to represent the shops and zip codes in which people are buying, as well as shapes to differentiate between shop locations and customer data.
Geospatial analysis tools allow you to perform visual mapping, which helps you view and analyze multiple data sets by displaying them on maps in different layers.
The layers are overlaid on background maps and can include area, bubble, chart, geodata, heatmap and line layers. Data for background maps and layers can come from both internal and external sources, such as CAD files from traffic or weather warning systems.
Your analytics solution should allow you to select any type and combination of data on any layer, whether you select from a bar graph, or directly on the map using lasso selections or pan and zoom.
For example, you could combine road geographies with traffic conditions to analyze traffic flow in a certain area, or overlay real-time weather with weather warnings data to understand how those patterns affect airport traffic in a particular region.