CRISP-DM Methodology, Data Mining Process Diagram

Slide Content

The slide represents the CRISP-DM methodology for data mining which includes six phases: Business Understanding, Data Understanding, Data Preparation, Modeling, Evaluation, and Deployment. Each phase is elaborated with bullet points:

"Business Understanding" involves defining the problem and comprehending the business context.
"Data Understanding" is about collecting and exploring data to assess its quality.
"Data Preparation" deals with cleaning and transforming data for modeling.
"Modeling" is the application of Machine Learning algorithms to develop a model.
"Evaluation" assesses model quality and aims to identify performance issues like underfitting or overfitting.
"Deployment" is about implementing the best model in a production environment and addressing the business problem in daily operations.

Graphical Look

A large title at the top in bold blue lettering.
Six rectangular boxes with rounded corners represent each phase of the process, colored in alternating shades of blue.
Arrows flow between these boxes, indicating the sequence of steps.
Each box has two to three bullet points in white text explaining the phase.
A central circular icon with a database symbol represents the data-centric nature of the process.
The background is white with subtle gray arrows connecting the phases, emphasizing the looping cycles of the methodology.

The slide is professionally designed with clean lines, a clear sequence of steps, and contrasting blues enhancing readability. The central data icon and cyclical arrows visually encode the process's iterative and data-focused nature.

Use Cases

Illustrating the steps of a data mining project during a business presentation.
Training new data science team members on the CRISP-DM process in an educational setting.
Guiding project discussions to ensure all stakeholders understand the end-to-end analytics process.
Evaluating the current stage of a data mining project within internal team meetings or project reviews.