Welcome to Geospatial Business Intelligence Lab
Geospatial insights for intelligent decisions
Dashboards for data insights
Extraction of intelligence from raw data
> Geospatial and Data Analytics that provide further insights, supporting decision- making.
> Visualization of analysis results on a Dashboard, with pre-loaded interactive maps, charts, tables, widgets.
- The relationships between different causing factors can be easily understood.
Understanding the geographic patterns of different data and its correlations provides a holistic view of the event.
Data Examples: Store Sales by Location, Customer affluence, Population socio-demographics, Property values, Transportation accessibility, Crime Rate, Natural Hazards, etc.
Questions ? Send me a message !
GeoBI Lab is a consulting company focused on discovering intelligence from Data.
The mission is to improve the overall knowledge of certain phenomena through analytics and geospatial techniques, to provide valuable key insights for decision making.
About 80% of data has a geographic component: Spatial Data is EveryWHERE
- Geospatial Intelligence is the ability to gain valuable insights from data.
- Through the location parameter, data can be visualized on a map, analyzed and mixed with other databases, providing a fuller context.
- Location-based insights empower informed and strategic decision making.
Solutions
Data Analytics - Dashboards - Web Maps - Apps
DATA VISUALIZATION AND MAPS
Interactive Map apps:
> See your data on a map.
> See several layers of information for the same location.
> App tailored to client needs: with extra map tools to improve user experience.
> Mobile and desktop/tablet app versions.
MORE:
. Data Research - for a number of locations and geographic regions.
. Batch Geocoding (get Lat/Long coordinates to enable data plotting on map)
GeoBILab@gmail.com
examples:
Maps can tell the story spreadsheets can not.
Interactive, web-based Maps can easily show spatial patterns and relationships, ergo actionable insights
- Table Data to Maps. Different types of data can be visualized and understood.
Since 80% of data has a geographic component*, a great variety of data can be visualized on a map, thus revealing location insights of the data. furthermore, the same location can be characterized by different data sources.
*coordinates, addresses, zip code: this data can be displayed on a map through a geocoding process.
COPYRIGHT © ALL RIGHTS RESERVED 2017
