Database Reference
In-Depth Information
2.4 Phase 3: Model Planning
In Phase 3, the data science team identifies candidate models to apply to the data
for clustering, classifying, or finding relationships in the data depending on the goal
of the project, as shown in
Figure 2.5
.
It is during this phase that the team refers to
the hypotheses developed in Phase 1, when they first became acquainted with the
data and understanding the business problems or domain area. These hypotheses
help the team frame the analytics to execute in Phase 4 and select the right methods
to achieve its objectives.
Figure 2.5
Model planning phase
Some of the activities to consider in this phase include the following:
• Assess the structure of the datasets. The structure of the datasets is one
factor that dictates the tools and analytical techniques for the next phase.
Depending on whether the team plans to analyze textual data or
transactional data, for example, different tools and approaches are
required.
• Ensure that the analytical techniques enable the team to meet the business
objectives and accept or reject the working hypotheses.
