WHAT YOU CAN EXPECT








 

Gather the Data


Clean, reliable data is the most important part of the process. We will sit down with you and discuss your data to understand its features. How was collected, managed, and preprocess before any analysis is done? It is as simples as sharing all the features (variables) you want to use to answer your specific question. We will clean, filter, analyze, and answer your question with your data. The more data the better, there is no limit on how many variables we can use. We encourage you to take more data, but we don’t require you to collect a hard-to-get and costly sample.
 
 
 














 

Find the Intelligence


The analysis is then done by Red Rooster through a proven and soon to be published methodology of machine learning usage on animal production data. Two big thing questions can be answered. Can I predict (your question goes here) with my data? Can I pinpoint was is the most critical variable for (your question goes here)?


 
 
 














 

Deliver the Intel


We will deliver a detailed report with the detailed process (transparency is key for us) and the insights and diamonds discovered from your data. Prediction models will be delivered as a digital file and will be displayed in the report if allowed by the algorithm. We will teach you how to use it and apply it in the real world. The critical patterns will be listed in ranked order. All the thoughts will be organized into a simple summary of the value of your model and your pinpointed features.
 
 
 














 
 
 

Consultation


From beginning to end there will be a direct communication line. We will discuss what are the goals and questions you want to be answered for your product and production system. We will commit to viable projects that contain clean and reliable data. We will answer your questions through the process and deliver the promised report with its explanation in person. Well, discuss how to put in practice your prediction model and what are the next steps to increase efficiency base on the pinpointed areas the model discovers as vital for your question.