Case Study: CNH achieves faster geospatial data insights and improved crop outputs with Databricks

CNH uses Databricks to analyze geospatial data, boosting crop outputs

CNH, a worldwide producer of agricultural and construction equipment, struggled to gather actionable insights from agricultural data that spanned everything from field-level metrics to global trends. In particular, the company found it difficult to manage geospatial analysis at scale, with tens of thousands of polygons ingested daily, which limited its ability to understand weather impacts and improve crop outputs. CNH turned to Databricks Data Intelligence Platform and Mosaic AI to address these challenges.

With Databricks, CNH dramatically reduced the time needed to analyze massive geospatial datasets, making it easier to add geographic insights to reports and act on data faster. The solution improved collaboration, saved costs, and helped CNH deliver more value to customers by using data to better understand and respond to crop-related conditions.

CNH

William Kafes

Senior Data Engineer