How Business Benefits From Analytics Inclusion and Diversity

Are you looking to increase inclusion and diversity using data? Data can help you perform searches and understand patterns that support equal hiring opportunities in the following ways:

●  Prevent bias. Bias is often unconscious and derived from seemingly irrelevant information. Data analysis can help you add and expand data sets to give a clearer picture of talent regardless of their social-economic indicators. With an expanded database, you can broaden the scope of your research and reveal potential biases.

Also, you can avoid judging by narrow niche data pools that might hide inclusion and diversity opportunities. Research shows that personal names, educational information, and geographic locations may create biases against individuals solely based on their background or social-economic status.

Data analysis allows you to look past these limitations and focus solely on the most relevant information.

●  Make effective decisions. Greater volume and more diverse data sources provide better options for decision-making. This way, recruiters can gain more relevant information and recommendations, which could potentially increase access to a diverse talent pool.

One of the reasons for a lack of references could be that their former employees didn’t provide letters of recommendation, or that they worked in a different language and cultural environment.

●  Expand the talent pool. What if you’re unaware of geographic limitations for talented candidates to reach you?

What if you assume that the top picks would be locals, but there are maybe dozens of other talented candidates who’d be willing to move for a job opportunity?

A bigger, more diverse talent pool based on a broader geographic area leads to better and more diverse hiring.

There are many incorrect perceptions of what is considered relevant when it comes to making hiring decisions, and certain cultural differences can set minorities and people of colour back when it comes to recruiting.

Such examples include written recommendations and portfolios, which may not be equally accessible to all candidates regardless of their talent and skill level.

Do you want to share opinions on how analytics helps you hire top talent and contribute to equal work opportunities? Share now!