DS Life Cycle
We follow CRoss-Industry Standard Process for Data Mining.
Established in 1996, still relevant today.
Our R&D process iterates through 3 main parts: Analysis, Research and Production.
Investigate your problems
Describe your goals
Explore all datasets
The main results of this stage are meaningful insights for your business: statistics, trends, ideas, detected problems or bottlenecks in processes, KPI and metrics.
That is the basis for Research.
Remove irrelevant data
Train predictive model
Based on achieved performance on KPI we decide upon the next actions.
We can either continue Analysis & Research or proceed with Production.
Our work does not stop after the deployment. Usually, we continue the R&D process and update the product adding new features and functions, refining a previous model or solving a new task.
Intro to Data Science