Stages

Getting data and cleaning it

From real-world or from opinion surveys.
Outliers identification: awkward cases, fraud… or innovative profiles based on novel topics to be soon incorporated as normal behaviour (business opportunities).

Basic Statistical Descriptions

Properties of the data.
Pivot tables.
Business Intelligence (in business background).

Prediction

Regression-type methodologies. Classifiers.
Linear & nonlinear approaches.
Hypothesis testing.
Machine learning.
No blackbox: no unknown formula.

Implementation

Algorithm in production.
On premises or in the cloud.
Involved stakeholders.
Outside intervention.