While data science informs, human intelligence transforms.
Main Street Data combines data science with human insights, for intelligence that goes beyond information. MSD’s experts offer powerful wisdom that does more than inform decisions: it’s transforming the ag tech industry.
The ag industry is in the middle of a data science revolution.
Many users of ag data are scrambling for more information. And while more is definitely more in the data science world, human insights are increasingly valuable – to interpret, augment, and provide insights into these massive amounts of data. Main Street Data’s experts – Bob McClure and Ken Cassman – offer human judgment that goes beyond the mere informational use of big data. For instance, when massive flooding covered much of the Midwest in early 2019, MSD provided qualitative commentary to interpret soil conditions and possible recovery, giving insurers both knowledge and wisdom about the harvest’s potential outcome.
Data science is critical to the future of agriculture. But without human insights, it’s just a series of data points.
Data science is critical to the future of agriculture. But without human insights, it’s just a series of data points. While data science alone is incredibly valuable, without human interpretation, it’s merely a set of numbers. This was made clear during the 2019 harvest, when the transformative influence of human insights became an imperative. While monthly USDA yield reports were highly anticipated, they were also too infrequent for many ag data users. In an age when data is immediate, Main Street Data was able to provide yield forecasts twice daily, vastly improving accurate yield forecasting during a season fraught with flooding and planting delays. In fact, the experts at MSD were able to overlay historical data, similar to 2019 flooding data, to the 2019 forecast – which resulted in much more refined forecasts that the USDA ultimately agreed with in their final reports. As shown below, the Main Street Data yield forecast was in place months before the USDA weighed in with the same, final number.
What’s more: this data science wisdom is applied to crop stages.
Most growers know that corn’s silking stage is critical to the season’s success. If temperatures are too hot during that two-week period in July, much of the harvest can be lost. When the 2019 season threatened to do just that, the experts at MSD were able to show that the 2019 silking period would be cool enough to maintain yield, and they also predicted much more favorable conditions to come for the grain filling stage. These conditions were indeed in place by late September, allowing for a significant recovery in corn yield after a long, worrisome 2019 season.
Human intelligence makes all the difference, when applied to data science.
Learn more here about how Main Street Data is applying wisdom to data science, to revolutionize the agricultural industry. These valuable insights are critical for all types of users, from insurers and commodity traders to producers.
Main Street Data’s powerful data science tools can help you optimize your risk intelligence.
See how Preplanting Radar can help you make better planting decisions, sooner. Learn how Progressive WeatherYield provides in-season supply forecasts and optimizes the accuracy of your reserves. And find out more about GrowingScore, which measures performance against benchmarks for more accurate perspectives.
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