Regional Analysis Made Easy for Agronomists with SST's BI Tool

By CIOReview | Monday, November 23, 2015

FREMONT, CA: Backed by a strong central data repository, SST Software has launched a new web-based application that enables agronosists and ag retailers to make informed decisions by performing the regional analysis for their precision farming datasets.

agX, the central data repository, holds precision farming data for a vast farming field encompassing 120Mn acres. SST Analytics, the latest, web-based application enables querying of regional datasets and offers Business Intelligence reports for retail management. Ag retailers can benefit from this software in the form of BI reports pertaining to yield scenarios, market penetration, and retail location performance.

How it works:

Agronomist can avail the information from SST Analytis software where it displays yield performance for all hybrids planted on a particular soil type with yearly comparision. This insight puts them in a better position to help farmers in improving the yield.  

Agronomists and business managers can drill into the data, examine and highlight the study for offering a clear picture of the analysis to their clients. The charts generated by analytics shows the number of acres scouted by users and retail locations. It allows ag retailers to generate visual reports across their customer base for yield scenarios, market penetration and retail location performance.

"We are excited about the value that SST Analytics will bring to the world of farming. SST strongly believes in strengthening the relationship between the ag service provider and the farmer. Our goal is to put tools such as SST Analytics into the hands of ag service providers so that insights gained from regional datasets will help agronomists make more informed recommendations and farmers to make more valuable decisions," said Matt Waits, CEO, SST.

SST Analytics offers managers with performance metric of productivity of individual retail locations. This enables retail management to set goals by comparing the volume of farm operations activity in past years to current activity.