Emily Clarke

3 Ways Data Repositories Make the Onboarding Process Easier

Onboarding is the process of bringing on new employees or clients in a business agreement, and it usually involves collecting a good amount of data on a person or entity. This data may be used for things like contracts and service agreements, but it can also be used for things as simple as issuing security badges for the workplace.

Because onboarding can involve a lot of data, many businesses use data repositories for onboarding tasks. Below are three ways data repositories make the onboarding process easier:

1. Data is Centralized

In any type of system where large amounts of data are floating about, centralizing information is crucial. During onboarding, a lot of important data can get lost if it is spread across multiple systems, but the use of a data repository can keep data in one place where it can be retrieved as needed.

A data repository also makes it easier to take care of things like setting up automated notifications. Suppose your business needs to send reminders to clients or new hires to sign paperwork or access a training module. In that case, this can be done automatically using data taken from a repository.

2. Progress Can Be Monitored More Efficiently

In the example given above, new hires may need to complete steps during the onboarding process. This traditionally has required businesses to assign an employee to monitor a new hire's progress.

Using a repository, tasks can automatically be registered as complete as a new hire finishes them. This frees up employee time to take care of other tasks while ensuring a new hire is on track with everything they need to complete.

3. Improved Data Quality

Data quality has to do with how reliable and accurate specific data is in relation to different scenarios. By using a repository, data quality can be improved since the process of getting data from its source to the repository itself is streamlined. Data that has to go through numerous systems before being stored can lose quality, but a repository reduces the chances for data to become tainted.

Author Resource:-

Emily Clarke writes about the best data catalog tools and data analysis softwares. You can find her thoughts at data analysis blog.