CARTO joins the MBI partner network

A range of CARTO’s enterprise clients are already taking advantage of their partnership with Michael Bauer International GmbH to access MBI’s renowned, high-quality data through CARTO’s Data Observatory platform. With data from MBI available for almost every country in the world, this is particularly relevant to organizations looking to use location intelligence in multiple areas, in both developed and emerging markets.

Javier Perez Trufero, Head of Data at CARTO reflected on this partnership: 
"The risks and financial repercussions of using bad data are not something that companies can afford in the current economic climate, with many being faced with make or break decisions this year. Our clients trust us to ensure the Data Observatory has the highest-quality, global, and most accurate data possible – and Michael Bauer International’s data provides that in abundance. We’re excited to see how our customers continue to use our platform and data to continue supporting their most important decisions."

MBI’s Managing Director, Ray Roberts-York also commented:
"CARTO brings tremendous value to the MBI authorized partner network and joins an elite cadre of international location technology companies and leading GIS software developers. This new partnership not only arms customers with unparalleled technology, products, and support, but will now also provide users with a rich global data catalog because organizations need to gain deeper location-based insights no matter where they are in the world."

About CARTO:
From smartphones to connected cars, location data is changing the way we live and the way we run businesses. Everything happens somewhere, but visualizing data to see where things are isn’t the same as understanding why they happen there. CARTO enables organizations to use spatial data and analysis for more efficient delivery routes, better behavioral marketing, strategic store placements, and much more. Data scientists, developers and analysts use CARTO to optimize business processes, and predict future outcomes through the power of spatial data science.