Enabling Career Explorer

You can enable Career Explorer when your Employee Central data is qualified for the People Connection system to recommend career opportunities.

Prerequisites

You’ve configured the integration settings for People Connection.

Context

After data sync between your system and the People Connection system is successful, we provide a data quality report with multiple parameters in Manage People Connection Integration. After data training is successful, you can check one of the parameters to see if your company can use Career Explorer.

Procedure

1. In Admin Center, go to Manage People Connection Integration.Check the data quality report.

2. If Recommended Roles is Ready for Use, you can go to Upgrade Center and turn on Career Explorer

   Parameter	Description
   Number of Employees	The total number of employees in your tenant data
   Employee Data Quality	Compared to total employees, the ratio of the employees that have background education and competency rating information in your tenant data
   Number of Positions	The total number of positions in your tenant data
   Position Data Quality	Compared to total employees, the ratio of the employees that have corresponding job code information in your tenant data
   Employee-Position Ratio	The ratio between the number of employees and the number of positions, calculated as the number of employees divided by the number of positions.
   Number of Pairs	The total number of employee-position pairs in your tenant data. For example, if an employee has held a position in a company, the employee and the position is regarded as a pair in the data. If an employee has held two positions in a company, the employee and one of the positions is regarded as a pair, while the employee and the other position is regarded as another pair. Tip The larger the number of pairs, the better the data quality.
   Data Sparsity	Data Sparsity indicates unpaired employee and position data in your tenant data. It is calculated as: 1 − Number of Pairs / (Number of Employees * Number of Positions). Tip: The lower the level of data sparsity, the higher the data quality.
   Sparsity Threshold	Sparsity threshold is an ideal data sparsity level of your tenant data. It is calculated as: 1 − Max (Number of Employees, Number of Positions) / (Number of Employees * Number of Positions). Note: If your data sparsity level exceeds the sparsity threshold, machine learning doesn't proceed.
   Recommended Roles	When Recommended Roles is Ready for Use, employees can see one or more future roles in Career Explorer. If Recommended Roles is Not Ready, your tenant data is insufficient for the system to recommend roles, and therefore, you can't turn on Career Explorer.
   Recommended Career Paths	When Recommended Career Paths is Ready for Use, employees can see a future career path for each future role. If Recommended Career Paths is Not Ready, your tenant data is insufficient for the system to recommend career paths.

3. Go to Upgrade Center, select the Career Development Plan module, and enable Career Explorer.In Admin Center, go to Manage Permission Roles  User Permissions  Career Development Planning and grant users the permission of Career Explorer.

Results

Users can go to Development  Career Explorer to use the feature.
Task overview: Career Explorer - Overview and Getting Started
Previous task: Configuring Manage People Connection Integration