If you have purchased Product Analytics for your manufacturer, you will be able to find the Product tab on the Analytics page. Clicking this will take you to the Product Analytics page:

Here extension owners and product marketing managers can analyze product popularity at a part number level. It allows users to understand product popularity, monitor campaign effect as well as better plan for logistics ahead of time.

Key Features and Functionality

Drawing Period

This dropdown allow user to define a time range (e.g. last 30 days) to capture all drawings opened within that period. The query will display all products used in those drawings.

• Filter

Users can refine their search using detailed criteria to generate highly targeted results. Available filter parameters include:

• Part Number

Also known as article code

• Part Description

The description of the product/part

• Total Product Count

Define numerical thresholds for how frequently a product appears within the selected drawing period.

• Source

This dropdown enables users to filter product data by its origin, such as:

• • • CET Extension
    • Catalogue
    • CIL

Operator

Operators define how the system interprets and matches the query criteria. They allow users to fine-tune search results by specifying the relationship between the filter and the input value. 
Operators used include:

• Begins With
• Ends With
• Contains
• Does Not Contain
• Equals to
• Greater Than / Less Than

Input

Input refers to the text or value manually entered into a search field to define specific criteria. This input works in conjunction with filters and operators to limit the scope of the query results to something that you are interested in. Examples of input include part numbers, option keywords, or numerical thresholds.

You can specify multiple values in the input field. The filter will evaluate all the input with OR criteria.

For example, the following filter

Will be evaluated as “If part number begins with ABA- or part number begins with ABB- or part number begins with ABC-“.

Note: Part Quantity Total filter only allows 1 input value

Result

Clicking the 'Generate Result' button will fetch results based on the specified criteria. The output consists of two sections: a summary of the search at the top and a detailed result presented in a tabular table below. 

Summary

The summary of the search gives you an overview number of the search result:

Total New Drawings

This is the total number of new drawings created that contains the filtered parts. For example, in the screenshot above, it means that there were 766 drawings created in the last 30 days that contains products with part number beginning with ‘FI’.

Total Existing Drawings

This is the total number of existing drawings that contains the filtered parts, meaning these drawings were created before the start of the queried drawing period. For example, in the screenshot above, it means that there were 272 drawings that was created before 30 days ago that contains products with part number beginning with ‘FI’.

Total Parts Quantity

This is the sum of the column Total Product Count, can be used as rough benchmark to compare between different periods.

CSV Exports

Users can export the results in CSV format, allowing them to further analyze the data in Microsoft Excel or other tools.

The Result

The result is presented in a tabular form, with general part information such as part number, description and source presented in each row. The granularity of the parts follows the structure in CET calculation dialog. There are 2 columns in the result that represents the main output of the query:

Total Product Count

This is the total number of products across all open drawings in CET in the specified period. For example, if there are 10 drawings that are open in CET in the last 30 days, and each of the drawings contains 5 of a part, then the result on this column will show as 50.

Unique Drawing Count

This is the number of drawings that we collected this part data from in the specified period. Using the example on Total Product Count above, the result on this column will be 10. This helps you understand the distribution of a product. For example if Product A has total product count as 50 and unique drawing count as 10, where as Product B has total product count as 50 and unique drawing count as 2, it suggests that Product A is more widely used across different projects, whereas Product B is used in fewer projects but in larger quantities per project.