3 Key Aspects of Acclimating Financial Data for Climate Change Risk GIS in Agriculture Guide Climate change risk poses a growing concern for ag portfolios. According to a report from the Environmental Defense Fund, “many agricultural banks are highly exposed to...
Using Risk Analytics Tools to Build Water and Climate Resilience in Agricultural Finance GIS in Agriculture Guide According to the United Nations Environment Program Finance Initiative, climate impacts could lead revenues for agricultural borrowers to drop by 12-22%...
The Concept and Pertinence of Data Integration in Agricultural Finance GIS in Agriculture Guide Data integration is a process by which disparate data sets are brought together into a central repository for more effective presentation or analysis. While data...
Loan Decisioning and Its Geospatial Risk Data Core GIS in Agriculture Guide Loan decisioning is the process by which banks or lenders decide whether or not to approve a loan. This process is becoming increasingly automated, as new technologies make it possible to...
How to Reduce Risk in Portfolios with Modern Risk Decision-Making GIS in Agriculture Guide Traditional loan decision-making focuses on the financial risk of the borrower. But with the impact of climate change, increased regulations, and ESG reporting requirements on...
Asset Valuation In Ag Lending Should Built on Geospatial Data GIS in Agriculture Guide Asset valuation is a process that financial institutions use to determine the value in their portfolios and decide whether or not to approve loans. Ag lenders may rely on data such...
