Scenario

The analysis of historical business performance data reveals patterns and behaviors that can help you to forecast future trends. You can anticipate market changes and challenges and adapt accordingly when they occur.

In this tutorial, you will learn how to analyze historical business data, using the Dimensions view. The tutorial will help you become familiar with the Dimensions view. You will configure it, and then prepare three analysis examples for Karen Leong, the sales manager in ABC organization (a book and stationary retailer). You will be helping her to recognize potential sales opportunities through the analysis of historical sales data.

Karen will analyze customer orders by product category. She needs answers to the following questions:
  1. How much is ABC selling of each product?
  2. How much is ABC selling compared to labor costs?
  3. How much of each product is each customer buying?

You have created for her the "Customer Orders by Product Category" portal page (dashboard), and then added three copies of the Dimensions view. You will configure them in three different ways to enable Karen to find answers to her questions. After configuration, you will set some display preferences.

Next topic: Configuring the Dimensions view


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