Innovative solutions for the next generation intelligent algorithms
We harness data and help organisations thrive and reach their data ambitions.
We harness data and help organisations thrive and reach their data ambitions.
Cross-Industry Standard Process for Data Mining (CRISP-DM) is a standardised methodology used by data mining experts, composed of the following phases:
Finalising the exact specification of the problem together with methods that evaluate the achievement of the project goal.
Conducting a preliminary analysis that describes and explores the data provided by the client.
Defining aggregation/preprocessing operations to build a dataset that can be easily exploited during the upcoming phases.
Designing and training different Artificial Intelligence solutions to solve a business problem.
Using traditional metrics to evaluate the obtained models, and consequently; select the model that is most likely to provide the best solution.
Defining a methodological pipeline that allows the end customer to use the selected model even on previously unseen data.