Kudos for GKudos’ CartoDB Projects!


Elevate productivity with GKudos and CartoDB! Seamlessly integrate GIS visualizations, automate processes, and enhance decision-making.

This post may describe functionality for an old version of CARTO. Find out about the latest and cloud-native version here.
Kudos for GKudos’ CartoDB Projects!


CartoDB and Gkudos

GKudos  a CartoDB partner  is a GIS visualizations firm that specializes in the management  analysis  and publication of geo-referenced information. One of their goals is to help customers have increased productivity and competitiveness through the use of information technology and telecommunications.

In their quest to create software tools that are personalized according to the expectation and needs of each client. GKudos has made CartoDB available to their clients and mappers through a series of tools and data visualizations!

Through GKudos technology you can upload [File Geodatabase] data layers to CartoDB using QGIS. Now something that was once only available to ESRI customers is available to all  through CartoDB.

Their main objective is to allow a better process for decision-making and a more productive work environment through a unified view of organizational information using location intelligence.

Now you can give some love to your data using ArcGIS for desktop and CartoDB. With [CartoDB Toolbox] you can upload data from ArcMap or ArcCatalog to CartoDB. You can use the import tool like any other toolbox  you just need your user name  api key  and feature classes.

The following tutorial will show you how to create a simple geoprocessing model to convert raster datasets to beautiful vector web maps using [ArcGIS Desktop]  CartoDB Toolbox and the CartoDB Editor. Also  last week GKudos launched a new article about the automatization process with [Python and Arcpy].

GKudos offers users the custom application development using modern technologies that facilitate processing  visualization  and analysis of information through the web. You can view their data-driven visualizations here.

Happy Data Mapping!