Success story.
Georeferenced Property Data Lake
A real estate marketplace was receiving millions of visits and saw missed opportunities for spatial analysis.
We take on any challenge
At Zenta there are no obstacles we cannot overcome.
Challenge
Build a scalable geospatial repository to analyze search patterns and prices by area, facilitating property recommendations.
Solution
We created a Data Lake in BigQuery GIS, imported map data and geo-coordinate correspondences, developed dashboards in Looker with interactive layers and recommendations based on BigQuery ML clustering.
Results from our management
+30% of qualified leads.
+25% engagement on interactive map.
Response time to queries <2 s.
“"Thanks to working with Zenta and Google services, we were able to develop our MVP project, which is related to migrating data from ad campaign sources to the Google cloud. We successfully developed a functional platform that is now operational and will allow us to understand the potential scope of a similar, large-scale project, thus achieving our objective."”
What they say about our work.
We have the backing of those who have trusted us.