Video 10 Dimension Tiempo Jerarquias

New Section

In this section, the importance of incorporating time dimension into data modeling for business projects is discussed.

Incorporating Time Dimension in Data Modeling

• Time dimension is crucial in business projects to answer questions about when certain processes occur, such as sales.

• In the context of sales data modeling, having a column like "organic" that includes the order date (day, month, year) may not be sufficient for all projects.

• Creating a time dimension is essential for managing different calendars or attributes related to time in projects like campaigns or fiscal calendars.

• When creating a time dimension table, default columns like day, month, and year are included; additional columns can be added using DAX to classify days by fiscal quarter or week.

New Section

This part delves into enhancing the time dimension table with additional attributes and functionalities using DAX.

Enhancing Time Dimension Table with DAX

• Utilizing DAX allows for classifying days based on attributes like prime day or fiscal quarter.

• Introduction of date hierarchies enables tracking data at different levels (e.g., annual, monthly), providing insights into trends and patterns.

New Section

The discussion shifts towards establishing relationships between sales data and calendar data within the model.

Establishing Relationships in Data Model

• Creating relationships between orders and dates within the model is crucial for analyzing when events occurred.

Detailed Tutorial on Data Analysis Tools

In this section, the speaker provides a detailed tutorial on utilizing data analysis tools effectively.

Setting Date Ranges

• To set date ranges, navigate to the "Design" tab and click on the arrow next to "Date Table."

• Select "Update Ranges" to open a pop-up window where you can specify the desired date range.

• Adjust the range from 2015 to 2017 for this example to focus only on relevant data.

Utilizing Pivot Tables

• Accessing a pivot table reveals a product count by country.

• Remove unnecessary rows by eliminating the country field.

• Add dates by clicking on the calendar icon and selecting date fields for hierarchical organization.

Enhancing Data Analysis with Hierarchies

This part focuses on optimizing data analysis through hierarchies within pivot tables.

Creating Date Hierarchies

• By dragging date fields into rows, you can view product counts per year and month.

• Further granularity is achieved by drilling down to daily data, enhancing analytical insights.

Implementing Product Hierarchies

• Establish product hierarchies by organizing categories and subcategories within pivot tables.

Detailed Overview

In this section, the speaker demonstrates how to manipulate data within a table structure, focusing on territories and products.

Manipulating Data Structure

• The speaker modifies the table structure by clicking on different elements, showcasing changes in hierarchy and field arrangement.

• Dragging and dropping elements alters the displayed information, such as organizing rows by continent and displaying countries belonging to specific continents.

• Switching focus to products, the speaker selects "gea" as a product category, revealing subcategories like accessories, bytes, and Europe. Clicking on these subcategories displays specific product data.