Case Study: Running Lake Farms achieves improved profitability through data-driven decisions with Corteva Agriscience

Running Lake Farms - Customer Case Study

Running Lake Farms, led by CEO Gregory Baltz in Pocahontas, AR, grows rice, roughly 1,200 acres of soybeans, plus corn and peanuts. The farm struggled to forecast profitability and make per-field decisions because input costs and yields varied year to year, requiring better tracking of applications and daily market monitoring while Baltz managed operations in the field.

By implementing Granular, Running Lake Farms captured five years of input records and added financial analytics to measure cost of production per field. That visibility let them pinpoint unprofitable fields, identify which farms were better suited for soybeans, change cropping plans, reduce costs, and create stronger marketing options—improving decision-making and overall farm profitability.