The document introduces the concept of a data cube used for analyzing customer satisfaction metrics. It explains how measures, such as average satisfaction, can be categorized through dimensions like time and region, allowing for detailed insights. The cube enables the addition of unlimited dimensions for comprehensive data analysis.

1. The cube: a short introduction.
by Eyas Taifour

2. At the core of the cube are measures:
values that requires further analysis.
In our case, we want to understand the average customer
satisfaction.

3. Dimensions are added to the measure,
giving it meaning through categorization.
Here, we have added the universal dimension: time.

4. Further addition of dimensions allows us to understand
average customer satisfaction per year per region.

5. The cube allows unlimited number of dimensions to be
added.

6. We see here the average customer satisfaction
per year
per region
per guide.

7. Thank you.